Q2 2026 Blend Labs Inc Earnings Call

August 6, 2026

Speaker #1: Hello, everyone. Thank you for joining us, and welcome to Blend's Financial Results Conference Call for the second quarter of 2026. After today's prepared remarks, we will host a question-and-answer session.

Operator: Hello, everyone. Thank you for joining us, and welcome to Blend's Financial Results Conference Call for Q2 2026. After today's prepared remarks, we will host a question-and-answer session. If you would like to ask a question, please press star one to raise your hand. To withdraw your question, press star one again. I will now hand the conference over to management for their prepared remarks. Please go ahead.

Speaker #1: prepared remarks. Please go ahead.

Speaker #2: Good afternoon, and welcome to Blend's Financial Results Conference Call for the second quarter of 2026. I'm Meg Nunnally, Blend's Head of Investor Relations. Joining me today is Nima Ghamsari, our co-founder and head of Blend, and Jason Ream, our head of finance and administration.

Meg Nunnally: Good afternoon, and welcome to Blend's Financial Results Conference Call for Q2 2026. I'm Meg Nunnally, Blend's Head of Investor Relations. Joining me today is Nima Ghamsari, our Co-founder and Head of Blend, and Jason Ream, our Head of Finance and Administration. Before we start today's call, I'd like to note that we will refer to certain non-GAAP measures, which are reconciled to GAAP measures in today's earnings release and in the appendix of our supplemental slides. Non-GAAP measures are not intended to be a substitute for GAAP results. Unless otherwise stated, all financial measures we'll discuss today, including our profitability, refer to non-GAAP.

Speaker #2: Before we start today's call, I'd like to note that we will refer to certain non-GAAP measures, which are reconciled to GAAP measures in today's earnings release, and in the appendix of our supplemental slides.

Speaker #2: Non-GAAP measures are not intended to be a substitute for GAAP results. Unless otherwise stated, all financial measures we'll discuss today—including our profitability—refer to non-GAAP.

Speaker #2: Also, certain statements made during today's conference call regarding Blend and its operations—in particular, our guidance for the third and fourth quarter of 2026, other commentary regarding 2026, and our expectations about markets, our strategic investments, product development plans, and operational targets—may be considered forward-looking statements under federal securities law.

Meg Nunnally: Certain statements made during today's conference call regarding Blend and its operations, in particular, our guidance for Q3 and Q4 2026, other commentary regarding 2026, and our expectations about markets, our strategic investments, product development plans, and operational targets may be considered forward-looking statements under federal securities law. We caution you that forward-looking statements involve substantial risks and uncertainties, and a number of factors, many of which are beyond the company's control, could cause actual results, events, or circumstances to differ materially from those described in these statements. Please see the risk factors we've identified in our most recent 10-Qs, our 10-K for the fiscal year 2025, and other SEC filings. We are not undertaking any commitment to update these statements if conditions change, except as required by law.

Speaker #2: We caution you that forward-looking statements involve substantial risks and uncertainties, and a number of factors—many of which are beyond the company's control—could cause actual results to differ materially from those described in these statements.

Speaker #2: Please see the risk factors we've identified in our most recent 10Qs, our 10K for the fiscal year 2025, and other SEC filings. We are not undertaking any commitment to update these statements if conditions change, except as required by law.

Speaker #2: The financial information presented on this call is based on continuing operations, and prior periods have been recast to exclude operations that are now discontinued.

Meg Nunnally: The financial information presented on this call is based on continuing operations, and prior periods have been recast to exclude operations that are now discontinued. Lastly, we'll be providing a copy of our prepared remarks on our website by the conclusion of today's call, and an audio replay will also be available soon after the call. I'll now turn the call over to Nima.

Speaker #2: Lastly, we will be providing a copy of our prepared remarks on our website by the conclusion of today's call, and an audio replay will also be available soon after the call.

Speaker #2: I'll now turn the call over to Nima.

Speaker #3: Thanks, Meg. And welcome, everyone. The second quarter was another disciplined, profitable quarter for Blend. Revenue came in near the high end of our guidance range, and non-GAAP operating income came in above the high end.

Nima Ghamsari: Thanks, Meg, and welcome, everyone. The Q2 was another disciplined, profitable quarter for Blend. Revenue came in near the high end of our guidance range, and non-GAAP operating income came in above the high end. Jason will take you through all the financial details in a few minutes. Today, I want to spend my time on the two pillars of our strategy: Autopilot, the agents we build for our customers, and Blend 3.0, the agents we are building inside Blend to help us do our work to serve our customers faster, better, and cheaper. Let me start with Autopilot. The big news for us last quarter was that Autopilot became commercially available on 1 July. If you're following along on the webcast, I'd invite you to advance the slide with the words "Our AI strategy: guiding our customers" at the top.

Speaker #3: And Jason will take you through all the financial details in a few minutes. But today, I want to spend my time on the two pillars of our strategy: autopilot—the agents we build for our customers—and Blend 3.0.

Speaker #3: The agents we are building inside Blend to help us do our work to serve our customers faster, better, and cheaper. Let me start with autopilot.

Speaker #3: The big news for us last quarter was that autopilot became commercially available on July 1. If you're following along on the webcast, I'd invite you to advance the slide with the words "Our AI Strategy: Guiding Our Customers" at the top.

Speaker #3: This is the first of two slides that I'll reference today, and the charts on these slides are also available in the supplemental slides on our investor relations website.

Nima Ghamsari: This is the first of two slides that I'll reference today, and the charts on these slides are also available in the supplemental slides on our investor relations website. The chart shows cumulative loans processed by Autopilot from a standing start in February to more than 45,000 today, and it's still compounding. The curve is the proof behind everything I'm about to tell you. During this 4-month window, more than 65 lenders activated Autopilot. They stress-tested, surfaced the hard edge cases, and shaped what we shipped. The preview data backs up why this matters. We're starting to see evidence Autopilot is driving faster clearance times, higher conversion rates, and potentially reducing fulfillment costs. Based on our preliminary data of these loans that have gone through our system, our customers are seeing a 10% to 15% improvement in pull-through rates and 2 to 4 days of cycle time improvement.

Speaker #3: The chart shows cumulative loans processed by autopilot, from a standing start in February to more than $45,000 today. And it's still compounding. The curve is the proof behind everything I'm about to tell you.

Speaker #3: During this four-month window, more than 65 lenders activated autopilot. They stress-tested, surfaced the hard edge cases, and shaped what we shipped. And the preview data backs up why this matters.

Speaker #3: We're starting to see evidence autopilot is driving faster clearance times, higher conversion rates, and potentially reducing fulfillment costs. Based on our preliminary data of these loans that have gone through our system, our customers are seeing a 10 to 15 percent improvement in pull-through rates and 2 to 4 days of cycle time improvement.

Speaker #3: Furthermore, we estimate that autopilot is automating 4.5 hours of loan fulfillment tasks on average per loan. This is huge, and our customers are just beginning to grasp the potential.

Nima Ghamsari: Furthermore, we estimate that Autopilot is automating 4 and a half hours of loan fulfillment tasks on average per loan. This is huge, and our customers are just beginning to grasp the potential. Now that we are commercial as of 1 July, 6 lenders have already signed contracts that include Autopilot, including Onity, which is one of the largest mortgage servicers in the nation, which is also building its own experiences on top of Autopilot through our Autopilot MCP server. On monetization, we're executing the plan we described in May, with customers signing flat fee 1-year contracts for full access. There's going to be a base level of intelligence built into our workflows, but the paid tiers are where the full product lives, what we call our underwriting intelligence, where Autopilot is reading documents, running calculations, reconciling against guidelines, and driving the full loan file forward.

Speaker #3: Now that we are commercial as of July 1, six lenders have already signed contracts that include autopilot. Including Onity, which is one of the largest mortgage servicers in the nation, which is also building its own experiences on top of autopilot through our autopilot MCP server.

Speaker #3: On monetization, we're executing the plan we described in May. With customers signing flat fee one-year contracts for full access. There's going to be a base level of intelligence built into our workflows, but the paid tiers are where the full product lives.

Speaker #3: What we call our underwriting intelligence, where autopilot is reading documents, running calculations, reconciling against guidelines, and driving the full loan file forward. Over time, our intent remains to move the paid tiers to a per-funded-loan model, just like the rest of our mortgage suite.

Nima Ghamsari: Over time, our intent remains to move the paid tiers to a per-funded loan model, just like the rest of our Mortgage Suite. When seat-based pricing, which we don't think survives the agentic world, when software does the work, you can't charge by the person. It doesn't make any sense. Others are also moving the consumption models to get paid for the activity their AI generates. We made a different choice, which is we get paid on success. We get paid on the outcome. Not for the tasks along the way, but for the outcome. If Autopilot does 10 times the work on a file that never closes, our customers shouldn't pay 10 times more for it. Under our model, they won't. Our revenue scales with our customer success, and that alignment is the business model we've always had.

Speaker #3: And when seat-based pricing—which we don't think survives the agentic world when software does the work—you can't charge by the person. It doesn't make any sense.

Speaker #3: And others are also moving the consumption models to get paid for the activity their AI generates. We've made a different choice, which is we get paid on success.

Speaker #3: We get paid on the outcome—not for the tasks along the way, but for the outcome. So if AutoPilot does ten times the work on a file that never closes, our customers shouldn't pay ten times more for it.

Speaker #3: And under our model, they won't. Our revenue scales with our customers' success, and that alignment is the business model we've always had. Agentic AI just makes it more valuable and more scalable.

Nima Ghamsari: Agentic AI just makes it more valuable and more scalable. Since I get asked about the competitive landscape constantly, let me be direct about it. What gives Blend the right to win? Our answer comes down to four advantages that are hard to replicate. First, where we sit. Blend is the borrower's first point of contact. Because we're there, we see the problems and we fix the problems as they come along. More than half of borrowers apply outside of business hours, and over 90% of people who complete an application do so within 24 hours of starting. Autopilot catches friction the moment it happens, at 10:00 PM on a Saturday, not Monday morning, at the exact moment the borrower intent is the highest and the engagement is the highest. Next, our data.

Speaker #3: Since I get asked about the competitive landscape constantly, let me be direct about it. What gives Blend the right to win? Our answer comes down to four advantages that are hard to replicate.

Speaker #3: First, where we sit. Blend is the borrower's first point of there, we see the problems and we fix the problems as they come along.

Speaker #3: More than half of borrowers apply outside of business hours, and over 90% of people who complete an application do so within 24 hours of starting.

Speaker #3: Autopilot catches friction the moment it happens. A 10:00 PM on a Saturday, not Monday morning, at the exact moment the borrower intent is the highest and the engagement is the highest.

Speaker #3: Next are data. The question behind every AI question I get is, "In a world where anybody can call a frontier model like Claude, is a software like ours replaceable?" We believe the answer is no, and the reason is our data.

Nima Ghamsari: The question behind every AI question I get is, in a world where anybody can call a frontier model like Claude, is a software like ours replaceable? We believe the answer is no, the reason is our data. Models are converging and everyone has access to the same models, including us. What isn't a commodity is what it takes to get the model to perform on a mortgage that has tons of context, tons of loan documents, guidelines, and lots of things that have to be taken into account to make the right next action on the loan. That's a combination of 15 years of experience and tens of millions of loan application data processing through our platform, which you can't buy. You can't synthesize 15 years of real borrower behavior. That compounds.

Speaker #3: Models are converging, and everyone has access to the same models, including us. But what isn't a commodity is what it takes to get the model to perform on a mortgage that has tons of context, tons of loan documents, guidelines, and lots of things that have to be taken into account to make the right next action on the loan.

Speaker #3: And that's a combination of 15 years of experience and tens of millions of loan application data processing through our platform, which you can't buy.

Speaker #3: And you can't synthesize 15 years of real borrower behavior. And that compounds. I actually see this in our early Autopilot benchmarks against a typical Claude-plus-skills, and we see that Autopilot performs better in those tests.

Nima Ghamsari: I actually see this in our early Autopilot benchmarks against a typical Claude plus skills, we see that Autopilot performs better in those tests, much better and much cheaper, about one-third the cost. Third, the harness. Autopilot is not a wrapper around a generic model. It runs inside of the infrastructure, the data layer, the integrations, the compliance architecture, orchestrating what the agent sees, what tools it can use, which guidelines to apply to a specific loan in front of it, and what happens when it isn't sure. It hands the file back to the loan team. People stay in control of the decisions that matter, this harness is part of what makes Autopilot more accurate and cheaper than a generic harness. Last, our relationships. We've spent 15 years building alongside lenders, Autopilot was built the same way, with lenders, for lenders.

Speaker #3: And much better and much cheaper, about one-third the cost. Third, the harness. Autopilot is not a wrapper around a generic model. It runs inside of the infrastructure.

Speaker #3: The data layer, the integrations, the compliance architecture, orchestrating what the agent sees, what tools it can use, which guidelines to apply to a specific loan in front of it, and what happens when it isn't sure.

Speaker #3: It hands the file back to the loan team. People stay in control of the decisions that matter, and this harness is part of what makes Autopilot more accurate and cheaper than a generic harness.

Speaker #3: And last are relationships. We've spent 15 years building alongside lenders, and Autopilot was built the same way: with lenders, for lenders. And with Autopilot MCP, we've opened up our infrastructure so customers and other technology providers can build on top of us, rather than around us.

Nima Ghamsari: With Autopilot MCP, we've opened up our infrastructure so customers and other technology providers can build on top of us rather than around us. When you step back, this is the bigger thesis. Blend is and can be the agentic infrastructure for relationship banking. The original promise of banking was a relationship, a lender who got to know you and could make a call based on more than just a credit score. That promise didn't disappear because bankers stopped caring. It disappeared because there's so much process, there's so much manual work and manual effort that has to go in to every single loan.

Speaker #3: And when you step back, this is the bigger thesis. Blend is and can be the agentic infrastructure for relationship banking. The original promise of banking was a relationship, a lender who got to know you and could make a call based on more than just a credit score.

Speaker #3: That promise didn't disappear because bankers stopped caring. It disappeared because there's so much process, and there's so much manual work and manual effort that has to go into every single loan.

Speaker #3: But when autopilot is handling that grunt work on the loans, and helping the people who historically did that focus on the customer, when autopilot is handling those conditions, the follow-ups, the questions that come in at 2:00 in the morning, and the loan officer bringing it back to the capacity of serving the customer, I started Blend with my co-founders back in 2012 with a simple thesis.

Nima Ghamsari: When Autopilot is handling that grunt work on the loans and helping the people who historically did that focus on the customer, when Autopilot is handling those conditions, the follow-ups, the questions that come in at 2:00 AM, and the loan officer bringing it back to the capacity of serving the customer. I started Blend with my co-founders back in 2012 with a simple thesis. That the mortgage process should drive itself, not because humans aren't needed, because the right technology can handle everything that does not require a human. Autopilot is finally that thesis arriving.

Speaker #3: The mortgage process should drive itself. Not because humans aren't needed, because the right technology can handle everything that does not require a human. And autopilot is finally that thesis arriving.

Speaker #3: And because of what we're seeing in mortgage, the most complex, most heavily regulated process in consumer finance, we believe the same infrastructure extends naturally to home equity, deposits, auto, card, personal lending.

Nima Ghamsari: Because of what we're seeing in mortgage, the most complex, most heavily regulated process in consumer finance, we believe the same infrastructure extends naturally to home equity, deposits, auto, cards, personal lending, and I think probably broadly, given how much we've honed the harness and the evals around Autopilot, probably beyond that to other aspects of underwriting. Agentic AI doesn't replace and doesn't need to replace relationship banking, but it makes it possible to have our customers, the lenders, be even more focused on their customers, once again, at scale. Shifting gears, if you're following along on the webcast, I'd ask you to advance the slide with the words "Our AI strategy transforming how we work" at the top.

Speaker #3: And I think probably, broadly, given how much we've honed the harness and the evals around Autopilot, probably beyond that to other aspects of underwriting.

Speaker #3: Agentic AI doesn't replace and doesn't need to replace relationship banking. But it makes it possible to have our customers, the lenders, be even more focused on their customers.

Speaker #3: Once again, at scale. Shifting gears, if you're following along with the webcast, I'd ask you to advance to the slide with the words "Our AI Strategy: Transforming How We Work" at the top.

Speaker #3: This slide gives you a glimpse of how Blend itself is transforming and how it is going to look in the future. And we're calling that Blend 3.0.

Nima Ghamsari: This slide gives you a glimpse of how Blend itself is transforming and how it is going to look in the future, and we're calling that Blend 3.0, where if you think of Blend 1.0 as the first 10 years, where we built a market-leading company and were growing quite a bit, growing our market share, growing our customer base, and rolling out our first products. Blend 2.0 is the last four years, where we were creating a profitable, long-term sustainable entity. Blend 3.0 is an agentic-first company. That doesn't mean just for our products, but that also means how we work internally. Last quarter, I described this pattern. An agent will, in the end state of Blend, take the first pass of the incoming work, especially the grunt work that I described earlier, before a team member even touches it and applies their judgment.

Speaker #3: Where, if you think of Blend 1.0 as the first 10 years, where we built a market-leading company and we were growing quite a bit—growing our market share, growing our customer base, and rolling out our first products—and Blend 2.0 as the last four years, where we were creating a profitable, long-term, sustainable entity, Blend 3.0 is an agentic-first company.

Speaker #3: And that doesn't mean just for our products, but that also means how we work internally and last quarter I described this pattern. An agent will, in the end state of Blend, take the first pass of the incoming work, especially the grunt work that I described earlier, before a team member even touches it and applies their judgment.

Speaker #3: So I won't repeat all that today, but I want you to look at the graph. And the graph shows one specific team in the company, which is actually one of our biggest teams, which is the engineering team.

Nima Ghamsari: I won't repeat all that today, but I want you to look at the graph, and the graph shows one specific team in the company, which is actually one of our biggest teams, which is the engineering team. If you look at the gray line, and you look at pull requests, which is the gray line in 2025, it was pretty flat throughout the year, and during the holidays, it trailed off. Then you look at the blue line this year. We've 3.6x'd our throughput as an engineering team with roughly the same headcount just since January of this year, 3.6x the throughput. I don't know if you remember, but I told you in May that we were running roughly one and a half times compared to what we were doing in January. That was the average.

Speaker #3: And if you look at the gray line, and you look at pull requests, which is the gray line in 2025, it was pretty flat throughout the year and during the holidays it trailed off.

Speaker #3: And then you look at the blue line this year, we have 3.6xed our throughput as an engineering team with roughly the same headcount, just since January of this year.

Speaker #3: 3.6x the throughput. And I don't know if you remember, but I told you in May that we were running roughly one and a half times compared to what we were doing in January.

Speaker #3: And that was the average. That was just three months ago. And now we're 3.6 times. It's a profound thing to think about, which means if we continue at this pace, we could be doing 10 times as much throughput on the engineering team by the end of this year as what we did at the end of last year.

Nima Ghamsari: That was just 3 months ago. Now we're 3.6 times. It's a profound thing to think about, which means if we continue at this pace, we could be doing 10 times as much throughput on the engineering team by the end of this year as what we did at the end of last year. I think that will continue to compound as an advantage for us to turn the velocity of fixing customer bugs, handling customer feature and enhancement requests, building the new things like Autopilot that power the future of our industry at a faster and better pace. That's really important because the essence of any software company is how do you serve your customers and create value for your customers? I think that trend will continue to steepen as we adopt further AI within our organization and as the models get better over time.

Speaker #3: And I think that will continue to compound as an advantage for us to turn into velocity of fixing customer, bugs, handling customer feature and enhancement requests, building the new things like autopilot that power the future of our industry at a faster and better pace.

Speaker #3: And that's really important because the essence of any software company is how do you serve your customers and create value for your customers? And I think that trend will continue to steepen as we adopt further AI within our organization, and as the models get better over time.

Speaker #3: But given there was success that we're seeing in engineering, the next phase that we're doing, and what I believe is our job, is to take this to the whole company.

Nima Ghamsari: Given the success that we're seeing in engineering, the next phase that we're doing, and what I believe is our job, is to take this to the whole company. This past quarter, we expanded our efforts in agentic-first approaches, and we expanded to our go-to-market organization, where agents now are reviewing support tickets that come in immediately, and if it's a bug that needs fixing, it can open a pull request. If it's a simple response that they want or a configuration change, it can draft that up for a human to go and click, Yep, that's right, or No, that's wrong.

Speaker #3: And so this past quarter, we expanded our efforts in agentic-first approaches. And we expanded to our go-to-market organization. Where agents now are reviewing support tickets that come in immediately, and if it's a bug that needs fixing, it can open a pull request.

Speaker #3: If it's a simple response that they want, or a configuration change, it can draft that up for a human to go and click, yep, that's right, or no, that's wrong, I need to change that.

Nima Ghamsari: I need to change that. It's also doing work on our customer calls and helping draft coaching notes and follow-ups that used to take the teams hours, and our finance organization, where agents are doing the first pass of work on parts of our closing process. In every case, the process is the same. The agent takes the first draft. A person reviews and approves. In some cases over time, I think where it's less of a security issue or less of a code issue or less of something that doesn't even need a human approval, I think eventually over time, we'll even not need human approvals for some of those things. Different functions that I'm talking about, but it's one operating model of how I think the future of agentic technology is.

Speaker #3: And it's also doing work on our customer calls and helping draft coaching notes and follow-ups that used to take the team's hours. And in our finance organization, where agents are doing the first pass of work on parts of our closing process, in every case, the process is the same.

Speaker #3: The agent takes the first draft, a person reviews and approves. And in some cases over time, I think where it's less of a security issue or less of a code issue or less of something that doesn't even need a human approval, I think eventually over time we'll even not need human approvals for some of those things.

Speaker #3: But it's different functions. That I'm talking about, but it's one operating model of how I think the future of agentic technology is. And it's still early days, but this is one of the most active topics inside Blend right now.

Nima Ghamsari: It's still early days, but this is one of the most active topics inside Blend right now. Our leadership team is meeting regularly about it because becoming an agent-first company is an operating decision, not a side project. It's a whole company effort to figure out how would we reimagine this amazing company and customer base from the ground up. Because we now get that opportunity because we're profitable, we have our house in order, and all these technologies are accelerating right in front of our eyes. I said in May that we aim to be in the top 1% of all companies in agentic AI adoption, and that's still the goal. We're tracking our progress by function. We're taking it one piece at a time, and I expect to share more with you in the coming quarters as this rollout matures.

Speaker #3: Our leadership team is meeting regularly about it because becoming an agent-first company is an operating decision, not a side project. It's a whole company effort to figure out how we would reimagine this amazing company and customer base from the ground up.

Speaker #3: Because we now get that opportunity because we're profitable, we have our house in order, and all these technologies are accelerating right in front of our eyes.

Speaker #3: And I said in May that we aim to be in the top 1% of all companies on agentic AI adoption. And that's still the goal.

Speaker #3: We're tracking our progress by function. We're taking it one piece at a time. And I expect to share more with you in the coming quarters as this rollout matures.

Speaker #3: Lastly, I want to talk about growth. Because I know that's a question on everyone's mind. Well, to start with the bad news, the macro is not helping us right now.

Nima Ghamsari: Lastly, I want to talk about growth because I know that's a question on everyone's mind. Well, to start with the bad news, the macro is not helping us right now. Mortgage rates moved from 6.4% or so in May to 6.8% in recent weeks because of wars and things that are going on outside of our control. That keeps activity in the market, especially refinance activity, but also purchase activity muted. I've always said we can't control the macro. I just want you to be aware of it because we're obviously paying close attention to it, and it might mute future quarters like Q4 if we expected a certain amount of refinance activity, and it doesn't come because rates are high. Just more being aware of it, but that's okay.

Speaker #3: Mortgage rates move from 6.4% or so in May to 6.8% in recent weeks, because of wars and things that are going on outside of our control.

Speaker #3: And that keeps activity in the market, especially refinance activity, but also purchase activity muted. And so I've always said we can't control the macro.

Speaker #3: I just want you to be aware of it. Because we're obviously paying close attention to it. And it might sort of mute future quarters like Q4 if we expect a certain amount of refinance activity.

Speaker #3: And it doesn't come because rates are high, just more being aware of it. But that's OK. Our ultimate goal has been, and is, to generate long-term sustainable growth, regardless of the macro environment.

Nima Ghamsari: Our ultimate goal has been and is to generate long-term sustainable growth regardless of the macro environment. In the quarter, we signed 14 new deals and expansions, and there's two that I want to highlight. The first is a new logo with a large credit union that included Autopilot right out of the gate. I think this will be the new norm with our customers as they sign with us. We have some more deals in pipeline that have the same shape, but it's the first time a customer chose Blend and chose Autopilot as part of that initial package. Agentic AI is becoming table stakes, and our customers want it and need it, in fact, to be the best versions of themselves. I think, like I said, it's a preview of how many of our deals are going to look going forward.

Speaker #3: In the quarter, we signed 14 new deals and expansions. And there's two that I want to highlight. The first is a new logo with a large credit union that included autopilot right out of the gate.

Speaker #3: So I think this will be the new norm with our customers as they sign with us. We have more deals and pipeline that have the same shape.

Speaker #3: But it's the first time a customer chose Blend and chose autopilot as part of that initial package. Agentic AI is becoming table stakes. And our customers want it and need it, in fact, to be the best versions of themselves.

Speaker #3: And I think, like I said, it's a preview of how many of our deals are going to look going forward. The second deal I want to talk about is a cross-sell of our Rapid Refi and Rapid Home Equity into a top-five credit union.

Nima Ghamsari: The second deal I want to talk about is a cross-sell of our Rapid Refi and Rapid Home Equity into a top five credit union, which they signed with us a couple of years ago. They got rolled out. They're happy, and this is a great example of how we can expand and deepen with customers as we drive the initial projects to success. Our pipeline continues to build. On our last call, I told you our overall pipeline was up more than 40% year over year, and that overall pipeline is still growing. The stat I'm more excited about as the year goes on is a narrower one. We brought in new sales leadership this year, at the start of this year, and our late-stage pipeline, the deals we aim to close within the next quarter, grew nearly 40% just between March and June.

Speaker #3: Which they signed with us a couple of years ago. They got rolled out. They're happy. And this is a great example of how we can expand and deepen with customers as we drive the initial projects to success.

Speaker #3: And our pipeline continues to build. On our last call, I told you our overall pipeline was up more than 40% year over year, and that overall pipeline is still growing.

Speaker #3: But the stat I'm more excited about as the year goes on is a narrower one. We brought in new sales leadership this year. We had started this year.

Speaker #3: And our late-stage pipeline the deals we aim to close within the next quarter grew nearly 40% just between March and June. Late-stage pipeline is what actually is near signing.

Nima Ghamsari: Late-stage pipeline is what actually is near signing, so it comes with a lot higher level of visibility and confidence. Just to put some color around this pipeline, that includes another large mortgage customer of a top 20 financial institution, and a solid set of Rapid and Autopilot deals, which, for example, we expect two additional large Rapid deals to close in the coming months. Now, I want to be honest about timing. We expect our pipeline to become signed deals in the coming quarter or so, and maybe some slip, and those signed deals become revenue. This is all dealing with some of the largest financial institutions in the country. As they sign and they turn on, we expect them to show up on our financials in the medium term.

Speaker #3: So it comes with a lot higher level of visibility and confidence. Just to put some color around this pipeline, that includes another large mortgage customer, a top 20 financial institution.

Speaker #3: And a solid set of Rapid and Autopilot deals, which, for example, we expect two additional large Rapid deals to close in the coming months.

Speaker #3: Now, I want to be honest about timing. We expect our pipeline to become signed deals in the coming quarter or so, and maybe some will slip.

Speaker #3: And those signed deals become revenue. But this is all dealing with some of the largest financial institutions in the country. So as they sign and they turn on, we expect them to show up in our financials in the medium term.

Speaker #3: But it does take some time for very large financial institutions to get through their governance around things like agentic tools. So with all that said, I want to say the direction is very clear.

Nima Ghamsari: It does take some time for very large financial institutions to get through their governance around things like agentic tools. With all that said, I want to say the direction is very clear. Our customers are excited about it. Our largest customers are really leaning in, and my confidence is very high. Our sales discipline that Matt has put in place isn't just limited to new business. It extends to how we manage renewals. We're doing a better job of getting our customers discussions around renewals with us earlier in the process, which means more relationship aspects to working with them, renewing customers for longer terms, broadening the relationship at renewal, and making sure that our pricing reflects the value we deliver, which Jason will give you some more color later on how we're thinking about this, where we're seeing renewals and upsells, where we're seeing churn.

Speaker #3: Our customers are excited about it. Our largest customers are really leaning in. And my confidence is very high. Our sales discipline that Matt has put in place isn't just limited to new business.

Speaker #3: It extends to how we manage renewals. We're doing a better job of getting our customers discussions around renewals with us. Earlier in the process, which means more relationship aspects to working with them, renewing customers for longer terms, broadening the relationship at renewal.

Speaker #3: And making sure that our pricing reflects the value we deliver which Jason will give you some more color later, on the how we're thinking about this, where we're seeing renewals and upsells, where we're seeing churn.

Speaker #3: So let me give you that other side of the coin right now, which is the core of our customer base is renewing. For longer and for more.

Nima Ghamsari: Let me give you that other side of the coin right now, which is the core of our customer base is renewing for longer and for more. To wrap it up, the short-term market with the macro, it sort of is what it is. We're staying disciplined and profitable inside of it. The medium and long term is what we're focused on, 2027 and beyond, as we get Autopilot going commercial and growing that, the pipeline we're building, the speed we're gaining with the agentic transformation internally. I am extremely energized about what Blend looks like on the other side of this cycle, not just for us, but for our customers. Ultimately, because we have a value-based pricing model, what that means for our financials and for our investors. With that, I'm going to turn it over to Jason to walk through the financials.

Speaker #3: So to wrap it up, the short-term market with the macro it sort of is what it is. But we're staying disciplined and profitable inside of it.

Speaker #3: The medium and long-term is what we're focused on. 2027 and beyond, as we get autopilot going commercial and growing that, the pipeline we're building the speed we're gaining with the agentic transformation internally I am extremely energized about what Blend looks like on the other side of this cycle.

Speaker #3: Not just for us, but for our customers. And ultimately, because we have a value-based pricing model, what that means for our financials and for our investors.

Speaker #3: And so with that, I'm going to turn it over to Jason to walk through the financials.

Speaker #2: Thanks, Nima. And thank you to everyone else joining us on the call. We delivered a solid second quarter with total revenue of $33.8 million.

Jason Ream: Thanks, Nima, thank you to everyone else joining us on the call. We delivered a solid Q2 with total revenue of $33.8 million, up 7% year over year and near the high end of our $32 to $34 million guidance range. Mortgage Suite revenue was $19.2 million, up 7% year over year, within the growth range we discussed on our last call. Funded mortgage loans on our platform were approximately 233,000 in Q2, up 14% year over year and in line with our expectations coming into the quarter. That volume growth was partially offset by a lower year over year economic value per funded loan, which came in at $79, consistent with the $79 to $80 range we guided to in May. As a reminder, the step down from $83 in Q1 is primarily mathematical. Q1 is seasonally the high watermark given its lower mortgage volumes.

Speaker #2: Up 7% year over year. And near the high end of our $32 to $34 million guidance range. Mortgage suite revenue was $19.2 million. Up 7% year over year.

Speaker #2: Within the growth range, we discussed on our last call. Funded mortgage loans on our platform were approximately $233,000 in Q2. Up 14% year over year.

Speaker #2: And in line with our expectations coming into the quarter, that volume growth was partially offset by a lower year-over-year economic value for funded loans, which came in at $79, consistent with the $79 to $80 range we guided to in May.

Speaker #2: As a reminder, the step down from $83 in Q1 is primarily mathematical. Q1 is seasonally the high watermark given its lower mortgage volumes. And higher volumes in Q2 mechanically lower the per loan calculation given that there are some fixed fee arrangements within our customer base.

Jason Ream: Higher volumes in Q2 mechanically lower the per loan calculation given that there are some fixed fee arrangements within our customer base. Consumer Banking Suite revenue for Q2 was $12.2 million, up 6% year over year, slightly above the high end of the growth range we shared on our last call. Professional Services revenue for Q2 was $2.4 million, consistent with our expectations. Turning to profitability, non-GAAP gross profit was $26.5 million. Our non-GAAP gross margin was 78.3%, up from 76.1% in Q2 2025 and consistent with the normalized gross margin framework of 77% to 78% we described last quarter after backing out the one-time benefits we saw in Q1. That gross margin improvement is despite the model cost for Autopilot, which were relatively low but growing in Q2.

Speaker #2: Consumer banking suite revenue for the second quarter was $12.2 million. Up 6% year over year. Slightly above the high end of the growth range we shared on our last call.

Speaker #2: And professional services revenue for the second quarter was $2.4 million. Consistent with our expectations. Turning to profitability, non-GAAP gross profit was $26.5 million. And our non-GAAP gross margin was 78.3%.

Speaker #2: Up from 76.1% in the second quarter of 2025, and consistent with the normalized gross margin framework of 77% to 78% we described last quarter.

Speaker #2: After backing out the one-time benefits we saw in Q1. That gross margin improvement is despite the model cost for autopilot. Which were relatively low.

Speaker #2: But growing in Q2. We expect those costs to remain fairly insignificant relative to our P&L for the near future. But we will update you if we see anything different on the horizon.

Jason Ream: We expect those costs to remain fairly insignificant relative to our P&L for the near future. We will update you if we see anything different on the horizon. Non-GAAP operating expenses were $19.5 million in Q2, roughly flat year over year. Non-GAAP operating income was $7 million above the high end of our $5.5 to $6.5 million guidance range and represented a non-GAAP operating margin of 20.6%, an improvement of nearly 6 points compared to Q2 of 2025. Free cash flow for the quarter was $6.9 million. We ended the quarter with $44.9 million in cash equivalents, and marketable securities, and still with 0 debt. During Q2, we repurchased 11 million shares at an average price of $1.65 per share.

Speaker #2: Non-GAAP operating expenses were $19.5 million in Q2. Roughly flat year over year. Non-GAAP operating income was $7 million. Above the high end of our 5.5 to 6.5 million guidance range.

Speaker #2: And represented a non-GAAP operating margin of 20.6%. And improvement of nearly 6 points compared to the second quarter of 2025. Free cash flow for the quarter was $6.9 million.

Speaker #2: We ended the quarter with $44.9 million in cash. Cash equivalents and marketable securities. And still with zero debt. During the second quarter, we repurchased $11 million shares at an average price of $1.65 per share.

Speaker #2: Year to date, we have repurchased 22.2 million shares for $36.8 million leaving approximately 13.2 million remaining under our most recent share repurchase authorization of $50 million.

Jason Ream: Year to date, we have repurchased 22.2 million shares for $36.8 million, leaving approximately $13.2 million remaining under our most recent share repurchase authorization of $50 million. We continue to believe that share repurchases are an excellent use of capital, especially at current valuation levels, though future repurchases will also be balanced against our aim to maintain ample liquidity to run the business. Before I give you the specific numbers, I want to frame how we're thinking about the environment because it shapes everything that follows. On our May call, and consistent with what we've said historically, we noted that our own outlook for H2 of 2026 was closely aligned with Fannie Mae, which at the time was forecasting roughly 19% full year growth in mortgage market volume. Since then, Fannie has lowered that outlook to about 17%.

Speaker #2: We continue to believe that share repurchases are an excellent use of capital especially at current valuation levels. Though future repurchases will also be balanced against our aim to maintain ample liquidity to run the business.

Speaker #2: Before I give you the specific numbers, I want to frame how we're thinking about the environment, because it shapes everything that follows. On our May call, and consistent with what we've said historically, we noted that our own outlook for the back half of 2026 was closely aligned with Fannie Mae.

Speaker #2: Which at the time was forecasting roughly 19% full year growth in mortgage market volume. Since then, Fannie has lowered that outlook to about 17%.

Speaker #2: Our current view is slightly more conservative than Fannie Mae. As we expect refinance volumes to remain muted in a higher for longer rate environment.

Jason Ream: Our current view is slightly more conservative than Fannie Mae, as we expect refinance volumes to remain muted in a higher for longer rate environment. Specifically, we struggle with Fannie's forecast showing refi growth in H2 of the year despite higher interest rates. Fannie may update their forecasts. Until then, we're taking the more conservative view. Additionally, we saw an uptick in churn notices this quarter relative to recent quarters. These are customers who are notifying us that they plan to roll off of Blend, though the timeline and ultimate impact is still to be determined. In most of these cases, customers plan to move to lower cost or free point solutions.

Speaker #2: Specifically, we struggle with Fannie's forecast showing refi growth in the back half of the year. Despite higher interest rates. Fannie Mae update their forecasts.

Speaker #2: But until then, we're taking the more conservative view. Additionally, we saw an uptick in churn notices this quarter relative to recent quarters. These are customers who are notifying us that they plan to roll off of Blend.

Speaker #2: Though the timeline and ultimate impact are still to be determined, in most of these cases, customers plan to move to lower-cost or free point solutions.

Speaker #2: We expect the revenue impact to be manageable—in the low single digits of annual revenue. But it's a dynamic we're watching closely, and as such, we have reflected some caution in how we're thinking about the second half of the year.

Jason Ream: We expect the revenue impact to be manageable in the low single digits of annual revenue. It's a dynamic we're watching closely. As such, we have reflected some caution in how we're thinking about H2 of the year. With that context, let me walk you through how we see the next two quarters. Starting with Q3, we expect total revenue to be between $31.5 and $33.5 million, representing approximately -4% to +2% year over year growth. Underneath these headline numbers, we expect a total mortgage market of 1,200,000 to 1,260,000 units, which is up 5% at the midpoint, and Blend funded loan volume of approximately 200,000 to 210,000 loans, which is up 2% at the midpoint. This translates to Mortgage Suite revenue change of approximately -4% to +3% year over year.

Speaker #2: With that context, let me walk you through how we see the next two quarters. Starting with the third quarter, we expect total revenue to be between $31.5 million and $33.5 million.

Speaker #2: Representing approximately negative 4 to positive 2% year over year growth. Underneath these headline numbers, we expect a total mortgage market of $1,200,000 to $1,260,000 units.

Speaker #2: Which is up 5% at the midpoint. And Blend funded loan volume of approximately 200,000 to 210,000 loans, which is up 2% at the midpoint.

Speaker #2: This translates to mortgage suite revenue change of approximately -4% to +3% year over year. We expect economic value for funded loan of approximately $80 to $81.

Jason Ream: We expect economic value per funded loan of approximately $80 to $81. We expect year over year Consumer Banking Suite revenue growth of between -5% and +1% in Q3, consistent with the moderation we discussed on our last call. We expect Q3 non-GAAP operating income to be between $3.5 and $4.5 million, implying a non-GAAP operating margin at the midpoint of approximately 12%. As a reminder, Q3 expense includes our annual Blend Forum customer event, consistent with prior years, which we expect to drive approximately $1.5 million sequential step-up in sales and marketing expense quarter over quarter. Looking beyond Q3, I want to give you our current view on Q4 volumes. Fannie Mae's most recent forecast is calling for roughly flat market volume in Q4.

Speaker #2: We expect year over year consumer banking suite revenue growth of between negative 5 and positive 1% in the third quarter. Consistent with the moderation we discussed on our last call.

Speaker #2: And we expect Q3 non-GAAP operating income to be between $3.5 million and $4.5 million, implying a non-GAAP operating margin at the midpoint of approximately 12%.

Speaker #2: As a reminder, the third quarter expense includes our annual Blend Forum customer event. Consistent with prior years. Which we expect to drive approximately $1.5 million sequential step-up in sales and marketing expense quarter over quarter.

Speaker #2: Looking beyond Q3, I want to give you our current view of on fourth quarter volumes. Fannie Mae's most recent forecast is calling for roughly flat market volume in the fourth quarter.

Speaker #2: As I mentioned earlier, that forecast may get updated at some point. But for now, our own outlook is a little bit more conservative and we expect total market size of $1.105 million.

Jason Ream: As I mentioned earlier, that forecast may get updated at some point. For now, our own outlook is a little bit more conservative. We expect total market size of 1.105 million to 1.165 million units or down about 11% year over year at the midpoint. Against that backdrop and factoring in the final tail on the roll-off of the large customer we've discussed on prior calls, we'd expect Blend's Q4 funded loan volume to be approximately 180,000 to 190,000 loans or down approximately 10% to 15% year over year. While this is our current best estimate, I should note that the macro backdrop remains highly fluid and sensitive to rates. Finally, on Autopilot, as you heard from Nima, we are very excited about the early commercial momentum. We continue to encourage you to be cautious about incorporating Autopilot revenue into your models at this juncture.

Speaker #2: To $1.165 million units. Or down about 11% year over year at the midpoint. Against that backdrop and factoring in the final tail on the roll-off of the large customer we've discussed on prior calls.

Speaker #2: We'd expect Blend's fourth quarter funded loan volume to be approximately $180 to $190,000 loans. Or down approximately 10 to 15% year over year. While this is our current best estimate, I should note that the macro backdrop remains highly fluid and sensitive to rates.

Speaker #2: Finally, on autopilot, as you heard from Nima, we are very excited about the early commercial momentum. But we continue to encourage you to be cautious about incorporating autopilot revenue into your models at this juncture.

Speaker #2: We plan to provide additional information on the potential impact to our model as customers and prospects move through the funnel, and as we have more time under our belt.

Jason Ream: We plan to provide additional information on the potential impact to our model as customers and prospects move through the funnel and we have more time under our belt. In summary, we delivered the quarter we aimed for. Revenue near the high end, profitability above the high end, and a strategic return of capital through our share buyback. The macro remains a headwind. We've tried to give you a clear view of how we see volumes in the market. The underlying drivers we control, our customer wins, our product velocity, and now the commercialization of Autopilot, are all moving in the right direction. They set us up to re-accelerate growth as we head into 2027. With that, let's open up the call to your questions.

Speaker #2: In summary, we delivered the quarter we aimed for: revenue near the high end, profitability above the high end, and a strategic return of capital through our share buyback.

Speaker #2: The macro remains a headwind. And we've tried to give you a clear view of how we see volumes in the market. But the underlying drivers we control are customer wins.

Speaker #2: Our product velocity. And now the commercialization of autopilot. Are all moving in the right direction. And they set us up to re-accelerate growth as we head into 2027.

Speaker #2: And with that, let's open up the call to your questions.

Speaker #1: We will now begin the question and answer session. If you would like to ask a question, please press star one to raise your hand.

Operator: We will now begin the question and answer session. If you would like to ask a question, please press star one to raise your hand. To withdraw your question, press star one again. We ask that you pick up your handset when asking a question to allow for optimum sound quality. If you are muted locally, please remember to unmute your device. Please stand by while we compile the Q&A roster. Your first question comes from Aaron Kimson with Citizens. Your line is now open. Please go ahead.

Speaker #1: To withdraw your question, press star one again. We ask that you pick up your handset when asking a question to allow for optimum sound quality.

Speaker #1: If you are muted locally, please remember to unmute your device. Please stand by while we compile the Q&A roster. Your first question comes from Erin Kimson with Citizens.

Speaker #1: Your line is now open. Please go ahead.

Speaker #3: Oh, great. Thank you. Nima, last quarter you commented that you thought agents and autopilot provided a path to potentially see 10 to 15% incremental revenue growth in '27.

Aaron Kimson: Great. Thank you. Nima, last quarter you commented that you thought agents and Blend Autopilot provided a path to potentially see a 10% to 15% incremental revenue growth in 2027. Given you're now a month into selling the one-year flat rate Blend Autopilot contract, you've got six lenders signed, and the commentary on it takes a little while to get through governance, a large financial institution. Does that sentiment hold today?

Speaker #3: Given you're now a month into selling the one year flat rate autopilot contract. You've got six lenders signed. And the commentary on it takes a little while to get through governance at large financial institutions.

Speaker #3: Does that sentiment hold today?

Speaker #2: Yeah, I don't want to give any additional further guidance there. But yeah, the pipeline is both good in terms of what we sign. But also, I would say a large number of our largest—I think the thing that surprised me last quarter and this quarter was how much our largest financial institutions were leaning in.

Nima Ghamsari: I don't want to give any additional further guidance there. The pipeline is both good in terms of what we signed, but also, I would say a large number of our largest. I think the thing that surprised me last quarter and this quarter was how much our largest financial institutions were leaning in. I'll give one anecdote about that, which is, at some of the biggest banks in the country, it's always been an executive priority, the way we're seeing the business line and the tech lines at these places push the rest of their organization to get this into place has been surprising to me. I mean, it takes a lot to go and say, We really need to make this happen for our business, but they're doing that. I think that's why our largest customers are leaning in.

Speaker #2: And I'll give one anecdote about that. Which is at the some of the biggest banks in the country. It's always been an executive priority.

Speaker #2: But the way we're seeing the business line and the tech lines at these places. Push the rest of their organization to get this into place.

Speaker #2: Has been surprising to me. I mean, it takes a lot to go and say we really need to make this happen for our business.

Speaker #2: But they're doing that. And I think that's why our largest customers are leaning in. Some are in either late stage trials with us. Or in final approvals with their internal committees.

Nima Ghamsari: Some are in either late-stage trials with us or in final approvals with their internal committees. Like I said, those things take time, and we're very excited about it. Probably more importantly, I sort of said this quickly in the prepared remarks, the early numbers from Blend Autopilot. We have about 50,000 loans that have gone through in the last few months. We get to see some of the differences between the numbers before and after for those lenders. It's really cool to see, especially given how early it is and the dual tailwind we have of our own work accelerating and the models getting better. Our own work around the harness, I should say, accelerating, and the models that are underlying it getting better.

Speaker #2: But like I said, those things take time. And we're very excited about it. And probably more importantly, and I sort of said this quickly in the prepared remarks.

Speaker #2: But the early numbers from autopilot. Man. I mean, we have about 50,000 loans that have gone through in the last few months. And get to see some of the differences between the numbers before and after for those lenders.

Speaker #2: And it's really cool to see, especially given how early it is, and the dual tailwind we have of our own work accelerating and the models getting better.

Speaker #2: Our own work around the harness, I should say, accelerating. And then our model the models that are underlying it getting better. So I think the way that we've set this up is to become this compounding machine for us.

Nima Ghamsari: I think the way that we've set this up is to become this compounding machine for us. Like I said, it's early, the early signs are more encouraging than I would have thought if you had told me in January of this year we're going to be creating this product from scratch, and here's where we are six months later.

Speaker #2: And like I said, it's early. Like I said, it's early. But the early signs are more encouraging than I would have thought if you had told me in January of this year we're going to be creating this product from scratch.

Speaker #2: And here's where we are, six months later.

Aaron Kimson: Understood. Yeah, I think that chart on slide eight with the cumulative loans processed every two weeks is fairly compelling. The second question I have, for Blend 3.0, how do you think about the balance between faster innovation and better products versus OpEx leverage? That's one of the main questions I get from investors. I guess based on today's update, when does the 3.6 times increase in pull requests turn into either revenue or operating leverage?

Speaker #3: Understood. Yeah. I think that chart on Friday with the cumulative loans processed every two weeks is fairly compelling. And then the second question I have.

Speaker #3: For Blend 3.0, how do you think about the balance between faster innovation and better products versus opex leverage? That's one of the main questions I get from investors.

Speaker #3: I guess based on today's update. When does the 3.6 times increase in pull requests turn into either revenue or operating leverage?

Speaker #2: That's a great question. And I think some of the revenue side is answered by even the previous answer I gave. Which is these products, they take some time to become a reality in a market as regulated as this.

Nima Ghamsari: That's a great question. I think some of the revenue side is answered by even the previous answer I gave, which is these products, they take some time to become a reality in a market as regulated as this. It's part of our moat, actually, and that we have these great relationships with these customers that bet on us and give us right of first refusal on their hardest problems, which is, in this case, it's their operations of how do they underwrite and process mortgages better, faster, and cheaper. It does take time. That's why I focused our team internally on sort of the medium term, which is 2027. As these deals mature, as they get live and they get at scale, how do we use that as a weapon for us?

Speaker #2: It's part of our moat actually. And that we have these great relationships with these customers that bet on us and give us right of first refusal on their hardest problems.

Speaker #2: Which is in this case, it's their operations. Of how do they underwrite and process mortgages better, faster, and cheaper. But it does take time.

Speaker #2: And so that's why I kept sort of focusing on I focused our team internally on sort of the medium term. Which is 2027. As these deals mature.

Speaker #2: As they get live. And they get at scale. How do we use that as a weapon for us. But not focus on how do I drive immediate today results at the expense of maybe 2027 and 2028 results.

Nima Ghamsari: Not focus on how do I drive immediate today results at the expense of maybe 2027 and 2028 results. That's the beauty of being a profitable company right now in this terrible mortgage market with the macro working against us, is that we can focus on the medium term and long term, which I know our investors care so much about. What does this company look like with an agentic core product that's driving a lot of the growth and with a macro that comes back to life? What does it look like in that environment? We're very focused on that, and I'm proud of the way the team is executing in this moment.

Speaker #2: And so and that's the beauty of being a profitable company right now in this terrible mortgage market. With the macro working against us. Is that we can focus on the medium term and long term.

Speaker #2: Which I know our investors care so much about. Like what does this company look like with an agentic core product that's driving a lot of the growth.

Speaker #2: And with a macro that comes back to life. What does it look like in that environment. And so we're very focused on that. I'm proud of the way the team is executing in this moment.

Speaker #2: Obviously, there's a lot more work to do for us. And just the level of focus and intensity that the team has put in place around these have been great for me to see as someone who's obviously been here from day one.

Nima Ghamsari: Obviously, there's a lot more work to do for us. Just the level of focus and intensity that the team has put in place around these have been great for me to see as someone who's obviously been here from day one.

Aaron Kimson: Understood. Thank you.

Speaker #3: Understood. Thank you.

Speaker #1: A reminder. If you would like to ask a question, please press star one to raise your hand. To withdraw your question, press star one again.

Operator: A reminder, if you would like to ask a question, please press star one to raise your hand. To withdraw your question, press star one again. Your next question comes from the line of Pallav Saini with Canaccord Genuity. Your line is now open. Please go ahead.

Speaker #1: Your next question comes from the line of Palev Saini with Canaccord Genuity. Your line is now open. Please go ahead.

Speaker #4: Good afternoon. Thanks for taking the question. First off, Nima, it's great to see the impact autopilot is having on the mortgage side. I'm just wondering is autopilot also available to your consumer banking clients?

Pallav Saini: Good afternoon. Thanks for taking the question. First off, Nima, it's great to see the impact Autopilot is having on the mortgage side. I'm just wondering, is Autopilot also available to your consumer banking clients? Maybe you can speak to the opportunity there if there are any updates. I have a follow-up.

Speaker #4: And maybe you can speak to the opportunity there if there are any updates. And I have a follow-up.

Speaker #2: Yeah. It's built into our platform. And so we have the baselines in place to support all of our customers. Which they're excited about. It's a big request we get from our customers.

Nima Ghamsari: Yeah. It's built into our platform, so we have the baselines in place to support all of our customers, which they're excited about. It's a big request we get from our customers is how can you help-- Some of them have multiple product lines with us. How can you help this other business line that's still manually verifying IDs or forms that gets filled out and sent to them? We do not have that live yet, but I would say stay tuned. It's something that we're thinking hard about, and we have some early customer engagement around. Just to share a little bit, our approach on building products like this is pick a few lighthouse customers, drive it deep with them, prove the value, and then expand it to the market shortly thereafter.

Speaker #2: Is how can you help some of them have multiple product lines with us. How can you help this other business line that's still manually verifying.

Speaker #2: IDs or forms that get filled out and sent to them. And so we do not have that live yet. But I would say stay tuned.

Speaker #2: It's something that we're thinking hard about. And we have some early customer engagement around. And just to share a little bit our approach on building products like this.

Speaker #2: Is pick a few lighthouse customers. Drive it deep with them. Prove the value. And then expand it to the market. Shortly thereafter. And I don't mean over the course of a year.

Nima Ghamsari: I don't mean over the course of years, I mean over the course of a quarter or two, and drive that as quickly as possible.

Speaker #2: I mean over the course of a quarter or two, and drive that as quickly as possible.

Speaker #4: Got it. And you mentioned two deals in the credit union channel. Maybe we can get an update on the channel in general. And what the pipeline there looks like.

Pallav Saini: Got it. I know you mentioned two deals in the credit union channel. Maybe we can get an update on the channel in general and what the pipeline there looks like. Thank you.

Speaker #4: Thank you.

Speaker #2: Yeah. We don't have a specific breakout of credit union versus bank versus independent mortgage company or other financial institutions. But I can say I mean, we have such a good base of customers with some of the largest credit unions down to medium and community credit unions.

Nima Ghamsari: Yeah. We don't have a specific breakout of credit union versus bank versus independent mortgage company or other financial institutions. I can say, we have such a good base of customers with some of the largest credit unions down to medium and community credit unions. They're the ones who are, I'd say, of the segments we have, they're very member self-serve first. They're very aligned to our sort of product principles of how do we help someone who's applying at 2:00 AM get a full approval. The Rapid Suite that we talk about is a great example of this, alongside Autopilot especially. How do we help someone get a full approval, an offer initially, and then a full approval in the middle of the night?

Speaker #2: And they're the ones who are I'd say of the segments we have. They're very member self-serve first. And so they're very aligned to our sort of product principles of how do we help someone who's applying it two in the morning.

Speaker #2: Get a full approval. The rapid suite that we talk about is a great example of this. Alongside autopilot especially. How do we help someone get a full approval.

Speaker #2: And offer initially. And then a full approval in the middle of the night. I think that's what makes us so aligned with this segment.

Nima Ghamsari: I think that's what makes us so aligned with this segment is that they just want to serve as many members as they can. They love the self-serve member experience, and it fits really well with our product sort of vision long term.

Speaker #2: Is that they just want to serve as many members as they can. They love the self-serve member experience. And it fits really well with our product sort of vision long term.

Speaker #4: Thank you. That's all from me.

Pallav Saini: Thank you. That is all for me.

Speaker #1: Your next question comes from the line of Ryan Tomasello with KBW. Your line is now open. Please go ahead.

Operator: Your next question comes from the line of Ryan Tomasello with KBW. Your line is now open. Please go ahead.

Speaker #5: Everyone. This is Juan Chong on for Ryan. Thanks for taking the questions. I just want to double click on Jason's comment on the uptake on churn notices in the quarter.

Huan Shang: Hey, everyone, this is Huan Shang on for Ryan. Thanks for taking the questions. I just want to double-click on Jason's comment on the uptick on churn notices in the quarter. I understand that the impact is pretty small, but could you share a bit more color here? Are these going to be like the AI native point solutions that have just come on the market, or maybe customers are moving to build in-house or?

Speaker #5: Understand that the impact is pretty small. But could you share a bit more color here? Are these going to be like the AI native point solutions that have just gone on the market?

Speaker #5: Or maybe customers are moving to build in-house?

Speaker #2: No, it's a good question. Really, we saw people going to existing low-cost providers. And it's hard to call it a trend. We don't have enough data points yet.

Jason Ream: No, it is a good question. Really, we saw people going to existing low-cost providers. It is hard to call it a trend. We do not have enough data points yet. One of the things I would say is, look, we are suffering a little bit with this rate environment in the macro, and what that is doing to mortgage volumes, but our customers are suffering at least as much. They are looking for ways to save money, and it is a tough environment for them as well. I think that is what we are seeing in the few cases that we have had.

Speaker #2: But one of the things I would say is, look, we're suffering a little bit with this rate environment and the macro, and what that's doing to the mortgage volumes.

Speaker #2: But our customers are suffering at least as much. And they're looking for ways to save money. And it's a tough environment for them as well.

Speaker #2: So I think that's what we're seeing. In the few cases that we've had.

Speaker #5: Got it. That's helpful. I have a follow-up. One of the broader trends across the mortgage market has been market share shifting towards the broker channel.

Huan Shang: Got it. That's helpful. I have a follow-up. Just one of the broader trends across the mortgage market has been market share shifting towards the broker channel. How do you think this could affect Blend, and where do you think trends are going?

Speaker #5: How do you think this could affect Blend? And where do you think trends are going?

Speaker #2: Yeah. We've noticed that over the past few years actually. Not a short term trend. It went from maybe single digit percentages to 15ish. Maybe up to high teens percent in the broker channel.

Nima Ghamsari: Yeah. We've noticed that over the past few years, actually. Not a short-term trend. It went from maybe single-digit percentages to 15-ish, maybe up to high teens% in the broker channel. The thing I would say is I think our customers, whether it's IMBs of all sizes or banks of all sizes or credit unions of all sizes. I think that a lot of them are leaning into this market. One thing that I hear, the ones who are our customers, even going back to the last question, the ones who are our customers are the ones who are betting on the future and betting that as they get these new technologies in place, as they make the most of our system, the most of the other systems they have in place, they're going to keep growing.

Speaker #2: But the thing I would say is I think our customers whether it's IMBs of all sizes or banks of all sizes or credit unions of all sizes.

Speaker #2: I think that a lot of them are leaning into this market. One thing that I hear from the ones who are our customers, even going back to the last question...

Speaker #2: The ones who are our customers are the ones who are betting on the future, and betting that as they get these new technologies in place—

Speaker #2: As they make the most of our system. The most of the other systems they have in place. They're going to keep growing. And so I'm seeing I'd say this year especially maybe 2025 and 2024 people were getting their house in order.

Nima Ghamsari: I'm seeing, I'd say this year especially, maybe 2025 and 2024, people were getting their house in order, just like maybe we were. This year especially, we're seeing companies in our customer base say, "It's time to invest in the future." I think that was probably a part of the cause of some of the shift to other channels, where maybe some companies couldn't invest in 2023, 2024, or part of 2025. As the market has stabilized, I think our customers are investing in the future. I can't speak for the market as a whole, but I can say for our customer base, people are really leaning in. They want new solutions. They want to be able to serve their customers better. They want to have better internal operations.

Speaker #2: And just like maybe we were. But this year especially we're seeing people in our customer companies and our customer base say it's time to invest in the future.

Speaker #2: I think that that was probably a part of the cause of some of the shift to other channels. Where maybe some companies couldn't invest in 2023, 2024.

Speaker #2: Or part of '25. But as the market is stabilized I think our customers are investing in the future. So I can't speak for the market as a whole.

Speaker #2: But I can say for our customer base people are really leaning in. They want new solutions. They want to be able to serve their customers better.

Speaker #2: They want to have better internal operations. And so our customers given how much they're focused on improvement. I think that our customer base is going to continue to win in this market.

Nima Ghamsari: Our customers, given how much they're focused on improvement, I think that our customer base is going to continue to win in this market.

Speaker #5: Got it. Yeah. That's super helpful. Thanks.

Huan Shang: Got it. Yeah. That's super helpful. Thanks.

Speaker #1: A reminder. If you would like to ask a question please press star one to raise your hand. To withdraw your question press star one again.

Operator: A reminder, if you would like to ask a question, please press star one to raise your hand. To withdraw your question, press star one again. Our next question comes from the line of Dylan Becker with William Blair. Your line is now open. Please go ahead.

Speaker #1: Our next question comes from the line of Dylan Becker with William Blair. Your line is now open. Please go ahead.

Speaker #4: Hey Nima. Jason Meg. Appreciate it. Nima for you on autopilot. Encouraging early interest. But wondering and you gave some good statistics around the improvement and pull through reduction cycle time.

Dylan Becker: Hey, Nima, Jason, Meg, appreciate it. Nima, for you on Autopilot, encouraging early interest, but wondering, you gave some good statistics around the improvement in pull-through, reduction in cycle time, and each of those on an individual basis is compelling. Wondering how you're thinking about your opportunity to kind of orchestrate the entire funnel of the workflow, and all of those kind of individual points compounding on each other as it pertains to customer ROI. Maybe how that's driving conviction in the Autopilot strategy and really what's differentiated from some of those potentially alternative tools or capabilities here.

Speaker #4: Each of those is compelling on an individual basis, but I'm wondering how you're thinking about your opportunity to orchestrate the entire funnel of the workflow.

Speaker #4: And all of those kind of individual points compounding on each other as it pertains to customer ROI. Maybe how that's driving conviction in the autopilot strategy.

Speaker #4: And really what's differentiated from some of those potentially alternative tools or capabilities here.

Speaker #2: Yeah. And maybe just to give some color because I think this is a really profound question. Just to give some color on how typical solutions in the market that I see.

Nima Ghamsari: Yeah. Maybe just to give some color, because I think this is a really profound question. Just to give some color on how typical solutions in the market that I see, and I see a new thing pop up, whether it's from an existing back office or middle office player, or even from others who are in our space. A lot of what they do is they take an existing process and they layer on something new.

Speaker #2: And I see a new thing pop up whether it's from an existing back office or middle office player or even from others who are in our space.

Speaker #2: And a lot of what they do is they take an existing process and they layer on something new. Like you have a document that was uploaded create a button or a little entry a text box on that document to say hey did this document meet the guidelines.

Nima Ghamsari: You have a document that was uploaded, create a button or a little entry, a text box on that document to say, "Hey, did this document meet the guidelines?" That's basically saying we think the existing process needs more intelligence built in, which is the exact opposite of how I view this concept that I've talked about now for two quarters around the background worker agency, the ambient intelligence that I referred to in past quarters. It's the antithesis of Autopilot, in fact. I think you're spot on with your specific comment around how do we orchestrate the entire process.

Speaker #2: And that's basically saying we think the existing process needs more intelligence built in. Which is the exact opposite of how I view this concept that I've talked about now for two quarters around the background worker agency.

Speaker #2: The ambient intelligence that I referred to in past quarters. And it's the antithesis of autopilot in fact. And so I think you're spot on with your specific comment around how do we orchestrate the entire process.

Speaker #2: And a lot of what I have worked with our team on in terms of the vision for autopilot. And especially coming together with Rapid.

Nima Ghamsari: A lot of what I have worked with our team on in terms of the vision for Autopilot, especially coming together with Rapid, where Rapid gets you a real-time offer, then Autopilot should get you in that first session from that real-time offer to clear to close. That's where the market needs to go, where a consumer can come through and have a self-driving process where they get a great personalized offer and they're ready to close, that was all done at 2:00AM in the morning. That's all possible today, regardless of existing infrastructure out there. The beauty of Autopilot being an open harness that can hook into our system or any other system is it doesn't care what systems are in place. It's just saying, "This is the work that needs to get done.

Speaker #2: Where Rapid gets you a real time offer. And then autopilot should get you in that first session from that real time offer to clear to close.

Speaker #2: That's where the market needs to go. Where a consumer can come through and have a self driving process where they get a great personalized offer.

Speaker #2: And they're ready to close. And that was all done at two in the morning. And that's all possible today. Regardless of existing infrastructure out there.

Speaker #2: Sort of the beauty of autopilot being an open harness that can hook into our system or any other system. Is it doesn't care what systems are in place.

Speaker #2: It's just saying this is the work that needs to get done. Let's get this done. Right now. And it's not there yet in terms of getting a customer an offer with Rapid.

Nima Ghamsari: Let's get this done right now." It's not there yet in terms of getting a customer an offer with Rapid, then all the way to clear to close in Autopilot, but that's the direction that it's heading, and we're going to keep working until the loans are ready to close at 2:00AM in the morning. With the system checking every document, requesting new information, working with the consumer in real time to get that information. That's the direction intelligence is going. There's no reason in any market like this. In a credit card, it would be confusing if you had to wait 48 hours or two weeks to know if your credit card application was approved. There's no reason that in this market, now that this technology exists, that that should be the case.

Speaker #2: And then all the way to clear to close in autopilot. But that's the direction that it's heading. And we're going to keep working until the loans are ready to close.

Speaker #2: At two a.m. in the morning and with the system checking every document. Requesting new information. Working with the consumer in real time to get that information.

Speaker #2: I mean that's the direction intelligence is going. There's no reason in a market in any market like this. On a credit card it would be confusing if you had to wait 48 hours or two weeks to know if your credit card application was approved.

Speaker #2: And there's no reason that in this market now that this technology exists that that should be the case. And I'm saying this to someone who's been working in this market for 14 years.

Nima Ghamsari: I'm saying this as someone who's been working in this market for 14 years and truly understands the depth and complexity of processing thousands of pages of guidelines and hundreds of pages of loan documents, and the way the Autopilot harness is set up to do that in a contextual, incremental underwrite, or underwriting sort of assistant, if you will. That's the type of thing that I think is possible now, and that's what we're driving towards, and that's where this compounding benefit, to use your words, will come into play for our customers who will be able to do things at rates that they didn't think were possible.

Speaker #2: And truly understands the depth and complexity of processing thousands of pages of guidelines. And hundreds of pages of loan documents. And the way the autopilot harness is set up to do that in a contextual incremental underwrite.

Speaker #2: Or underwriting sort of assistant if you will. I mean that's the type of thing that I think is possible now. And that's what we're driving towards.

Speaker #2: And that's where this compounding benefit to use your words will come into play for our customers who will be able to do things at rates that they didn't think were possible.

Speaker #4: Got it. Very helpful. Thank you Nima. And maybe a quick one for Jason. Appreciate the color on kind of the mechanics of the outlook.

Dylan Becker: Got it. Very helpful. Thank you, Nima. Maybe a quick one for Jason. Appreciate the color on kind of the mechanics of the outlook. If we look at EVPFL, that's crossed in Q2, expected to kind of step up. I guess just clarity around how much of that is kind of the mechanics of lower volume uplift versus maybe incremental product cross-sell. I know we're not saying Autopilot is layering it in any capacity, but if at all, any extent that that's driving some of that uplift as well. Thanks.

Speaker #4: If we look at EVPFL that's brought into Q expected to kind of step up. I guess just clarity around how much of that is kind of the mechanics of lower volume uplift versus maybe incremental product cross sell.

Speaker #4: And I know we're not saying autopilot is layering in in any capacity. But if at all any extent that that's driving some of that uplift as well.

Speaker #4: Thanks.

Speaker #2: Yeah, I mean, our volume expectations aren't that much different for Q2 and Q3, so I think it's mostly just the dynamics in the business.

Jason Ream: Yeah. Our volume expectations aren't that much different for Q2 and Q3. I think it's mostly just the dynamics in the business. Obviously, we're not guiding to a very different number. It's not a big change either way. I would think about Q2 and Q3 as sort of steady state with each other.

Speaker #2: Obviously we're not guiding to a very different number. It's not a big change either way. I would think about Q2 and Q3 as sort of steady state with each other.

Operator: There are no further questions at this time. This concludes today's call. Thank you for attending. You may now disconnect.

Q2 2026 Blend Labs Inc Earnings Call

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