Q2 2022 Innodata Inc Earnings Call

What.

pleasure to turn the floor over to your host, Amy Agris.

The floor is yours.

Thank you, John . Good afternoon, everyone. Thank you for joining us today. Our speakers today are Jack Abohof, CEO of InnoData and Mariz Espinelli, interim CFO . We'll hear from Jack first, who will provide perspective about the business, and then Mariz will follow with a review of our results for the second quarter. We'll then take your questions. First, let me qualify the forward-looking statements that are made during the call.

These statements are being made pursuant to the Safe Harbor provisions of Section 21E of the Securities Exchange Act of 1934 as amended and Section 27A of the Securities Act of 1933 as amended. Forward-looking statements include, without limitation, any statement that may predict, forecast, indicate, or imply future results, performance, or achievements.

These statements are based on management's current expectations, assumptions, and estimates, and are subject to a number of risks and uncertainties, including without limitation the expected or potential effects of the novel coronavirus pandemic and the responses of governments, the general global population, our customers, and the company thereto, impacts resulting from the rapidly evolving conflict between Russia and the Ukraine.

That contract may be terminated by customers, projected or committed buy-ins of work may not materialize acceptance of our new capabilities.

Continuing digital data solution segment reliance on project-based work and the primarily available nature of such contracts and the ability of these customers to reduce, delay, or cancel projects, the likelihood of continued development of the markets, particularly new and emerging markets that our services and solutions support, continuing digital data solution segment revenue concentration in the limited number of customers.

potential inability to replace projects that are completed, canceled, or reduced, our dependency on content providers in our agility segment, and continued downturn in or depressed market conditions, whether as a result of the COVID-19 pandemic or otherwise, changes in external market factors, the ability and willingness of our customers and prospective customers to execute business plans that give rise to requirements for our services and solutions,

difficulty in integrating and deriving synergies from acquisitions, joint ventures, and strategic investments, potential undiscovered liabilities of companies and businesses that we may acquire, potential impairments of the carrying value of goodwill and other acquired intangible assets of companies and businesses that we may acquire, changes in our business or growth strategy, the emergence of new or growth in existing competitors, our use of and reliance on information technology systems...

including potential security breaches, cyber attacks, privacy breaches, or data breaches that result in the unauthorized disclosure of consumer, customer, employee, or company information or service interruptions, and various other competitive and technological factors and other risks and uncertainties indicated from time to time in our filings with the Securities and Exchange Commission today.

including our most recent reports on Form 10-Q and 8-K, and any amendments thereto. We undertake no obligation to update forward-looking information or to announce revisions to any forward-looking statements, except as required by the federal securities laws and actual results could differ materially from our current expectations. Thank you. I will now turn the call over to Jack.

Thank you, Amy. Good afternoon, and thank you for joining our call. Our Q2 revenue is $20 million, representing 17% year over year growth.

This would slightly blow our expectations due principally to a mutual decision we made with a customer that we believe was beneficial for both the customer and for us.

We replaced a one-time medical record AI data annotation project in exchange for a recurring revenue expansion project for our medical record data extraction platform.

The original deal included $3.7 million of one-time services and $800,000 per year of ongoing annual revenue. We anticipate that the new deal will increase the recurring revenue component to about $1.8 million per year, extending our services from one to two market segments.

The customer's goal is to begin significantly ramping up the recurring work in October after we complete system's configuration.

The New Deal brings us significantly better long-term value from both a revenue longevity and a margin perspective.

So it was really a no-brainer for us, but it did reduce Q2 and a little bit of Q3 revenues by approximately 2.3 million.

From mid-May through July , several of our largest customers and prospects saw a rapid change in the economic environment and significant volatility in their stock prices.

We believe this resulted in a slowdown in new business activity and a few projects being put on hold as these customers and prospects reevaluated their budgets and spending priorities.

In the past few weeks, however, we have seen many of these customers and prospects re-embark on their AI initiatives with renewed vigor.

We are heartened by the validation this dynamic provided on the critical nature of these AI initiatives, notwithstanding the economic environment.

It is indeed encouraging to see signs that the momentum we were experiencing early in the year is returning.

That said, with the mid-May through July lull in our customers' activities, together with the change in contract terms I just mentioned, we anticipate that our Q3 revenues will decline somewhat from Q2, probably coming in at about $18 million based on current expectations. So we anticipate Q4 revenue to significantly increase over Q3.

Given these Q2, Q3 issues, growth this year is currently expected to be in the range of 15 to 20% versus the 30% we have targeted.

None of this changes our long-term growth trajectory or our market opportunity.

Our confidence stems from the fact that despite what we consider a temporary delay in recognizing revenues from some of our customers, we haven't lost their business by any measure, and we have continued to sign new customers and new contracts.

In the second quarter, we added 115 new logos across our segments. This is a 24% increase over the 93 new customers we added on average per quarter in 2021.

Indeed, as business activity recovered in the past few weeks, we have either landed or we believe significantly moved the ball down the field on several important business expansions.

We signed our fourth SOW and the largest to date with one of the Big Five American Information Technology Companies.

a company we engaged with for the first time 12 months ago.

We believe this company spends hundreds of millions of dollars on AI-related initiatives.

We're the multinational manufacturing conglomerate, one of the largest companies in the world. We just won our first engagement, and we've got a pipeline of four other engagements that were progressing.

Just this week, we signed an expanded AI program for content moderation and fraud detection for leading social commerce marketplace with over 80 million users.

Similarly, for another of the big five American information technology companies that we started engaging with a year and a half ago on its AI programs, we're seeing our current 3 million pipeline of new opportunities now moving forward.

We're in what I hope will be the final stages of landing a new million dollar engagement with a new life insurance customer.

We're in late-stage discussions with a leading Silicon Valley video game development company that we expect will give us credentials in AI-powered interactive experiences relevant to both gaming and metaverse.

And our large social media customer, which as we mentioned in our last call decreased spend significantly in Q2, has guided us to expect an uptick in monthly revenue from what we were seeing at the end of Q2, and reiterated this expectation of 10 million or more of programs spent this year.

Our strategy is to become an indispensable partner to companies embracing AI and to serve our customers at their highest point of value.

For many companies embracing AI, this means delivering AI lifecycle services and solutions.

With our AI lifecycle services and solutions, we provide companies the support they need to collect data, to synthesize data when there is insufficient real-world data, and to provide data to the world. We have a lot of data to collect and to collect data to collect data to collect data to collect

to annotate the data at scale and at high quality, even in complex data sets that require advanced subject matter expertise, and to build, manage, and QA models.

Our AI lifecycle capabilities are aligned with the data-centric AI paradigm, which is all about achieving AI performance through data engineering, our specialization.

We also have made investments in commercializing our proprietary GoldenGate AI technology stack in the form of an AI data annotation platform, an AI document intelligence platform, and industry solutions that utilize our AI to enable customers to do deeper analytics and textual data and documents with fewer people.

We believe that this will enable us to drive shareholder value as a result of multiple expansion, as, over time, we have greater revenue contribution coming from higher margin SaaS platforms.

We're in the early innings of the AI transformation, which is expected to result in 38% KGAR in customer spending from 2022 to 2030. Our strategy is to drive growth via a land and expand strategy, penetrate accounts with significant current or future AI spend, do a great job, and drive revenue expansion with both services and platforms.

To execute our strategy, we've made significant investments in sales and marketing, as well as product platform development.

I'll review our investments by segment. Let's start with agility.

Agility is an AI-enabled software platform for public relations. Agility was recognized for a fifth consecutive quarter as a momentum leader by software review site G2 in its summer 2022 PR software report. Just last month, Business Insider named Agility a fierce competitor against the industry heavyweights that dominate the 5.5 billion PR platforms market. business- dependent boards are Prisonability suffered from Adam in 2017 by MonoSci, The Institute for 114 Dead risk for mobile technology and data backup addressing the removed Canada for mental health Hawaiians

From the beginning of 2021, we invested substantially in agility sales and marketing. Our investment took the form of increased sales headcount from 14 at the beginning of 2021 to 90 presently.

Of this headcount, 42 are quarter carrying.

As a return on this investment, we are targeting agility to grow its annual recurring revenue, or ARR, by approximately 30% this year.

ARR represents the total value of subscription contracts at a point in time.

On the product side, we expect to shortly officially launch an exciting agility product expansion that will enable us to compete in social media analytics, the fastest growing segment of PRTech.

We believe this will be an additional growth accelerator while further expanding our total serviceable market with both existing subscribers and new customer prospects.

Now let's shift to our DDS Incentive X segments.

In 2022, we expect to have increased sales and marketing spend in these segments by a combined $700,000 and to have invested $8 million in product development.

We launched our AI-enabled document intelligence platform in late March, as planned.

This new customer-facing platform uses our GoldenGate AI technology to automatically extract meaning from complex documents.

It can be utilized across domains, from health care to financial services to media and entertainment, essentially any business that employs people to read or manage complex documents.

Initial feedback from our customers continues to be positive and we are in late stages with two opportunities and we have several others in pilots and in pipeline.

We launched a data annotation platform late last year, which we have continued to iterate and improve.

It addresses the data curation, annotation, and introspection challenges, complementing tensor flow torques and nano-AI algorithms.

Our platform includes tools to enforce data consistency and learnability, tools to analyze blind spots, bias, and noise, tools to augment data and collect data more efficiently, and tools to select the best data to annotate next in order to maximize system accuracy while minimizing annotation costs.

We also launched the initial version of our new banking industry platform on March 31.

Our charter customer, one of the world's largest banks, already has 65 people using the product and giving us valuable feedback.

The bank's leadership is very excited by how we're able to augment their team's work through our AI-enabled product.

The current plan is to bring this product to a wider market next year. Our charter customer has committed to $11 million subscription spend with us over five years.

In Synodex, our investments are focused on broadening our abilities to serve additional insurance product use cases. We now support seven product use cases. We anticipate Synodex year over year growth to exceed 90% this year.

Based upon current assumptions and expectations, we are budgeting to be cash flow positive by the end of Q1 next year as the revenue from these investments ramp up.

Well, the last few months showed us that we're not immune from the macro environment. We believe we're well positioned. AI investments are often justified by business cases that promise lower operating costs and less dependency on hard to recruit and hard to retain labor.

What's more, increasingly companies are seeing AI investments as necessary to ensure that they're not left behind on what has been predicted to be the next fundamental technology revolution.

I'll now turn the call over to Mariz to go over the numbers and then we'll open the line for questions.

Thank you, Jack. Good afternoon, everyone. Allow me to recap the second quarter 2022 financial results. Revenue for the quarter ended June 30, 2022 was $20 million, up 17% year over year. Net loss for the quarter ended June 30, 2022 was $3.8 million, or 14 cents for basic and diluted share, compared to a net loss of zero-one.

0.1 million or 0 cents per basic and diluted share in the same period last year.

Revenue for the six months ended June 30, 2022, was $41.2 million, up 25% year-over-year. Net loss for the six months ended June 30, 2022, was $6.6 million, or $0.24 for basic and diluted share, compared to a net income of $0.3 million, or $0.01 for basic and diluted share in the same period last year.

Adjusted EBITDA loss was 1.3 million in the second quarter of 2022 compared to adjusted EBITDA of 0.7 million in the same period last year. Adjusted EBITDA loss was 2.3 million for the six months ended June 30, 2022 compared to adjusted EBITDA of 2 million in the same period last year. And lastly, our cash and cash equivalent was 10.5 million at June 30.

2022 and $18.9 million on December 31, 2021.

So thank you again everyone. I'll now turn to John . We are now ready for questions.

Thank you. Ladies and gentlemen, the floor is open for questions. If you have any questions or comments, please indicate so by pressing star 1 on your touch tone phone.

Pressing star 2 will remove you from the queue should your question be answered. And lastly while posing your question please pick up your handset if listening on speakerphone to provide optimum sound quality. Please hold while we poll for questions.

Once again, that's Star 1 if you have any questions or comments.

Okay, the first question is coming from George Sutton.

Okay, the first question is coming from George Sutton with Craig Hallam. Your line is live.

Thank you. Jack, I wondered if you could walk through what you mean by the renewed vigor that you're seeing from some of the clients that have pulled back on their spend or suggested they pull back on their spend. Can you give us any specific examples or thought processes as to why that renewed vigor is taking place and what it means for you?

Sure, George. Yeah, I named a few of the things that we've...

closed in the last few weeks and that we significantly moved forward. There are a couple of those that I'm particularly excited about.

If you look at the large US tech companies, each of those is spending really big dollars in AI initiatives, and it's really important for us to break into those. We think it's a land to expand.

opportunity that is tremendously, potentially lucrative and very, very attractive.

So we're very glad to see that in just the last few weeks, we signed our fourth SOW with one of those companies. They're a large West Coast software company, one of the big five US companies with another big five. Similarly, we started with them at a very small level a year and a half ago. Things now seem to be moving forward. We've got a $3 million pipeline that's

As we guided in our call last time, their spend was going to be coming down as a function of moving to some more developmental efforts.

decision-making around ramping those up seem to become attenuated, but we're now seeing some ramp-up from the end of Q2 levels, and they're continuing to guide us to expect that that will continue through the year.

So a lot of the momentum that we're seeing or when we say we're seeing renewed momentum, it's very much from

our pipeline from our customers and that moving forward. I guess you also asked, why do we think that is?

You know, we've been through these kinds of economic things before, you know, in our business, and I've been through it in other businesses. You know, companies oftentimes make pronouncements. You know, we're not hiring new people, we're not signing new deals, we're not making new commitments.

And then they use a period of time to rank those and prioritize the things that they feel they need to do.

And I think that it's inevitable that a business downturn isn't going to fundamentally alter the momentum that companies are evidencing toward moving toward these technologies.

I think the technologies are too important. The opportunity that they bring to lower costs, to improve analytics, to improve product is too substantial. And I believe what we're seeing is that after that reallocation process took place, they're moving forward with things in order to our benefit.

Gotcha. One other question if I could on the banking platform. The significant size of the first customer is obviously very attractive and the significant size of that program. When is that going to be GA and something that we could see deployed by other banks as well?

It's a great question. Right now we're very focused on this one customer.

And we're very focused on them for several reasons. One is it's going to be critically important to us to get this right. And they're providing us all sorts of very useful feedback on what they need.

And they're so big that what they need, what everybody else would need or most everybody else would need would be a subset of their needs. So if we get that right, we're well positioned to GA that for other market participants.

Number one. Number two, they have other internal groups that are also interested in this, and that would represent internal, you know, expansion opportunities for us within that bank.

In terms of other banks, we're in early discussions with a couple. We're letting them know what we're doing. We're understanding what their needs are and how they're thinking about, you know, these technologies and these capabilities. We'd probably be more formally GAing something.

in the first half of next year, but the discussions are happening now and there could be opportunities to.

to move forward with relationships prior to a formal launch.

Thanks for taking the questions.

Thank you.

Okay, up next we have Tim Clarkson with Van Clemens.

have Tim Clarkson with Van Clemens. Tim, your line's live.

Hi Jack, how are you? Hi Tim, good. How are you doing? Good. So I was just wondering just on a couple of details now. So how many salespeople do we have?

90 people working for agility and 42 of them are...

people with quotas, you know, what I would consider a

on the

on the phone type salesperson.

That's correct. So we have 90 people in sales and agility, 42 are quota carrying.

11 people are account managers, but they also work to expand accounts. We're doing very well, by the way, in terms of account expansion, which

And it basically tells us that once we get someone using the platform, they like it and they want more things from it.

For that reason, we're very excited about the launch of the social analytics platform. That's an opportunity to sell more product to our existing customer base.

So

I'm elaborating on your question a bit. That's fine. How many salespeople do we have in the DDS and the artificial intelligence end?

So in that area we have nine

Okay.

Okay. Okay.

Now, obviously the cash is down from $20 million to about $11 million or so. Is there a backup plan to moderate spend if business doesn't accelerate as much as you expect or what you are thinking there as far as cash illusation is?

Yeah, so we're targeting that will exit first quarter cash flow break even.

that will exit first quarter, cash flow break even.

And I think we have a few dials and levers to work in that process. One is that

you know, we anticipate.

You know revenue pickup are you know incremental revenue is very you know remunerative in terms of you know country You know contribution margin incremental contribution margin, so that gives us you know relief right there Everything that we're able to You know enjoy is in terms of these platform developments a lot of the expensive part of the development is now behind us Or will soon be behind us and we'll be able to start dialing that down

Okay, so that you know lever number two and then you know lever number three is a lot of the investment this year was in sales and marketing and

I think everything we learn about sales and marketing at scale, it's very much reminiscent of I guess what...

You know, John Wanamaker's said to have said that, you know, half my advertising spend is wasted, the trouble is I don't know which half. You know, marketing is kind of like that, even sales is kind of like that, but you know, because we hit the...

but you hit it heavy, we're now in a position to know what works, what doesn't work, what do we double down on, what do we just eliminate. So that gives us a third lever. So we'll be working all of those levers and monitoring it very carefully, because I think it's important that we do so. And I think we have the opportunity to do that.

Is there a scenario where you eliminate maybe the bottom 10 or 20% of some of these guys that aren't producing as well?

I think that will be part of the way, I mean, it's the way everybody manages companies and especially sales forces. So it will be no different in that regard.

I think what we'll be looking for is to use a combination of those levers, revenue growth, product development where the...

the most

Um, you know.

Investment intensive aspects are behind us.

and looking at optimizing sales and marketing investments. We'll be managing all of those as a way of achieving our goal.

Right, right. In terms of, do you think that you're seeing the growth at agility that you should be seeing based on the amount of salespeople you've hired?

So the salespeople need to ramp up. We're seeing better results relative to our internal goals. We've seen better results, much better results than we were expecting in terms of account expansion.

We're seeing less.

been targeted results in terms of new logo acquisition. But again, I think that relates back to not a problem endemic to ourselves for us as much as a kind of stagflation.

environment that is threatened that are causing businesses to become a bit more conservative.

But whatever the underlying reasons are, I think we've got the ability to do a good job.

So mid-course correcting or continuing to iterate as we move forward, we've got the levers to do that. We've got the spin that we've got is variableized so we're able to do that.

pretty quickly.

And I think a good result will come from that.

Now it looks like the Cenedex, the insurance end, that's less affected by the economy.

So I think everything's affected. Our ambitions for that, for the entire business, are pretty significant. We're looking at a very healthy growth rate there, but frankly, we were looking for much better than that. And I think that that's been slowed in the last quarter or so by or affected by slow decision making as well. But again, the good news, especially in Synodex, you see a very...

prioritize their investments, they'll see this as ranking highly relative to helping them achieve those those outcomes.

Has the Synatek technology been out there long enough to prove that it's working?

been out there long enough to prove that it's working and it's valuable.

So I think the answer is yes. You know, we mentioned that.

There was a shift in, you know, with one of our new customers in terms of them moving from, you know, a feed of data that we were going to supply them for their own development efforts.

away from that and toward a much higher spend, a recurring spend on our platforms.

One of the reasons that that occurred is new management took over and that new management was coming from one of our large existing accounts.

So, you know, the managers at the large existing accounts who have grown to trust us and know, you know, how well our platforms work, essentially went over to this new customer that we're working with and said, you know, what are you doing this for? Let's double down on Synvex platforms.

So I think all of that is really good. We've got continued development on our platforms and Synodex. We're not standing still. We're doing a lot of work to more fully integrate AI, and we think that improves our margin opportunity significantly, and we also think that it.

improves our ability to widen our serviceable market for various reasons that are kind of in the weeds. I won't spend a lot of time on them now.

But, you know, a lot of opportunity to improve that and continue to grow that.

You mentioned that you added Microsoft as a technology...

I don't know what was the exact term for it. You formed a committee on artificial intelligence and they were the first people to be joining that committee.

I mean, it's the kind of stuff that Microsoft does, is that different than say something that Facebook does or Amazon, are they all really different, or are they relatively similar in terms of the things they're doing?

Yes, so I think if we look across the portfolio of customers we have and use cases, they fall into categories. A lot of people are concerned about, you know,

content moderation, people are very interested in robotics, in ad tech, you know, geospatial analysis, chatbot creation.

When we look across these...

We've got, you know, large customers. We've got people who are very focused on document intelligence and robotics. We've got people who are focused on...

you know, especially in social media space and spam identification, toxicity identification, things like that.

The good news is that as we acquire new use cases, we're clearly able to

credibly approach more and more customers to do things.

Lately we're seeing some use cases around anomaly detection and manufacturing. We're seeing use cases around, you know, visual safety.

So there's a lot of stuff out there. We're very focused on developing referenceability within different use cases so that we can then take that further and further penetrate the market.

Okay, all right, well I'm done. Thank you. Thank you.

Okay, the next question is coming from Dana Busco with Felt Advisors. Your line is live.

Hi Jack, how are you this evening?

Hi Jack, how are you this evening? Hey Dana, doing great.

Wonderful. I just have one main question. You guys have made some announcements in the space of synthetic data. Could you talk a little bit about the opportunity and what you think your addressable market will be with that? Pick up one of your researchers.

Yeah, I think it's a very important opportunity. So as we've talked about before, AI algorithms are fundamentally trained with data. The problem is that AI algorithms are fundamentally trained with data.

Sufficient data doesn't always exist.

So, for example, if you're building an anomaly detection algorithm in manufacturing, you need to train that algorithm to recognize defects. The defects, however, may be very rare. They may not exist in large volume. So then the problem is, well, how do you go about training the algorithms?

The answer to that is synthetic data. You can actually create examples of defects that simulate what defects will actually look like.

We're now increasingly doing that for customers for whom we're doing applied AI solutions who come to us with a business problem like, I want to identify defects in my manufacturing line. And then we're also doing that for the large US tech companies who are recognizing that they're building the algorithms, but they need synthetic data in order to get the right performance from companies that are ledger specialists because, that's one of the models we've got to change. I think I still don't know how this works until, I'm watching this full-time,

by virtue of the fact that either the real world data doesn't exist in surplus.

or they're anticipating that the real-world data starts to shift and morph, and they want to be able to clearly capture sufficient data from the edge cases in order for the algorithms to perform well.

So, you know, a great opportunity. I don't have a number. I don't know that there's

I've seen any reliable third-party analysts who've put a number on synthetic data, but it is considered universally to be a very important part of an AI program for many of these use cases.

Okay, great. Thank you. That does it for me.

Okay, the next question is coming from Area Call with Call Capital. Your line's live.

Great, thank you. I appreciate your hosting the call this afternoon. First question is about how you're organized, as you know, in the data annotation industry, companies are able to retrieve data through a large numbers of crowdsourced freelancers. And you also combine that with in house full time employees. I'm just trying to understand better, how was in a data.

structured so that you're trying to leverage the resources you have from people inside and people outside the company.

That's a great question.

So I'll take a step back from that and kind of lead into an answer.

When we're competing...

in terms of AI lifecycle services, which includes data collection, curation, data preparation, annotation.

One of the ways that we're able to compete very successfully is in terms of data quality. We do better work than most of our competitors, and that work ends up, or the quality of that work directly influences how well the algorithms perform.

How do we do that? The answer is that we've been in the data business for many decades.

We've been serving up the highest quality data to large information providers for now two decades and we've gotten very very good at that.

Part of what makes us good is our DNA. Part of what makes us good is our technology and how we manage data projects.

I think that experience has given us the ability to rely primarily on internal people who are managed very, very carefully, but it also has given us flexibility to use people on a freelance basis where that's appropriate for projects. We're not a crowdsourcing company.

You know, we find that we're able to compete effectively against crowdsourcing companies because we have everything that I just mentioned.

All right, and to follow up on that question.

you know, the big five US technology companies and others, you know, they're bringing on clients like yourself and call it 50 other data annotation companies. How are they going about trying to determine which of these data providers like you are the best ones that they can depend on the most? You know, as you realize, we're getting into these companies.

But it's all about a data quality war, so to speak. You need to show that you're better than the other people who brag they're really good. How do you go about proving to these?

sophisticated customers that you are in fact deserve to be you know among their you know their go-to or their primary customers versus others who are not who are not data providers of the same quality.

Yeah, so we certainly don't run into 50 competitors. We regularly run into three or four.

What we try to do in any competitive situation is as quickly as possible get to some proof of concept, as quickly as possible get to work.

Because we'd rather let our work speak for ourselves than have salespeople and marketing literature speaking for us.

What we find is as soon as we can get, and that's why we consider it a land and expand opportunity, as soon as we can get our foot in the door and as soon as we can get to a COC, we begin to distinguish ourselves.

And as we distinguish ourselves, one SOW leads to two more, and that leads to three more, and things progress from there. So I think there's a very significant opportunity to

to build POCs, to begin doing that work, to dissimilar to ourselves, and then to expand into, and claim an increasingly large portion of share of wallet with a lot of the large customers.

Okay, and one last question about this subject. Let's give you, let's assume that your data quality is excellent and that's why you're gonna be winning new business with customers going forward. As you scale up and the company potentially doubles or triples in size, how are you going to be able to maintain the quality of work you do today? Because as you know, obviously going from 200 employees to 600 employees doing this work is not easy, especially if you're trying to hire quickly.

Yeah, that's absolutely true.

say is, you know, I'd go back to, you know, who we are.

So we've been annotating data for a different use case. We've been annotating data at scale for companies who are intolerant of error for two decades.

And we've scaled up, you know, and sometimes we've had to scale down. In fact, you know, if you look at our performance over many years, you would see growth around very large projects where we had to scale up and we had to scale down. Now the problem that we had...

was that our market wasn't very large. Every now and then there would be a large project and we'd rally around that. But in scaling up and scaling down, for us that was a little bit like going to the gym. It was exercise. It was leading up to the moment we're in today.

We built the sinew and the muscle to be able to

to do that. We built the underlying technologies in order to be able to do that. And now as we approach this vastly...

more dynamic and larger market and fast growing market, we're able to bring those capabilities to bear. And I think those are distinguishing us from among the three or four competitors that we're lining up against now on a more regular basis.

Well listen, thank you very much and best of luck.

Thank you so much.

And I'd like to turn the floor back to Jack for any closing remarks

Thank you, operator. So as we discussed today, our mid-year lull is the result of a deal renegotiation that is actually very good for us.

And a Q2 in which pace of customer decision making absolutely slowed. Customers just weren't committing even though we're piloting more and more potential engagements. The good news is that the past few weeks things are moving again.

Two companies that are moving again are among the top five largest American tech firms. Big spenders on AI and both relatively new relationships for us.

So even though we're contending now with a mid-year lull, we're clearly regaining the momentum from earlier in the year. And we anticipate closing the year with a strong head of steam.

So thank you all for joining us today. I will look forward to our next call and otherwise sharing with you our progress.

Thank you ladies and gentlemen. This does conclude today's conference call. You may disconnect your phone lines at this time and have a wonderful day. Thank you for your participation.