Q3 2026 MindWalk Holdings Corp Earnings Call

March 12, 2026

Speaker #1: Please be advised that today's conference is being recorded Good morning , ladies and gentlemen . Thank you for joining us today for my Holdings Corp third quarter fiscal year 2026 Earnings Call Mindwalk trades on the Nasdaq under the ticker H y f t Today's call will be led by our Chief Executive Officer , Doctor Jennifer Barth , and our chief financial Officer , Scott Arlotto .

Speaker #1: A copy of our financial statements and MD and A is available on our website at mindwalk dot com A replay of today's call will be available on mindwalk investor Relations website .

Speaker #1: Following the conclusion of today's call Before we begin , please note that today's discussion includes forward looking statements . These statements are based on current expectations and involve risks and uncertainties that may cause actual results to differ materially For more information , please refer to our filings with the SEC and Canadian Securities regulators , including our most recent form 20 F , unless otherwise noted .

Operator: Unless otherwise noted, all financial figures discussed today are in Canadian dollars. I will now turn the call over to Dr. Jennifer Bath. You may begin.

Speaker #1: All financial figures discussed today are in Canadian dollars . I will now turn the call over to Doctor Jennifer Barth . You may begin .

Speaker #2: Thank you very much and good morning , everyone This quarter , Mindwalk reported its third consecutive year over year revenue increase and advanced three pipeline programs toward data readouts .

Jennifer Bath: Thank you very much, and good morning, everyone. This quarter, MindWalk reported its third consecutive year-over-year revenue increase and advanced three pipeline programs toward data readouts. In addition, we recently signed our first one-year enterprise LENSai platform contract. I will walk you through each of those. On revenue, year over year, we have grown three quarters in a row in a market where pharmaceutical demand for AI-driven discovery is accelerating. On the commercial model, our largest enterprise AI client recently signed a one-year LENSai platform contract, the first of its kind for us, shifting a part of our revenue from project-based to contracted and recurring. On our pipeline, dengue, GLP-1, and influenza each have data anticipated in the near term. Please let me take those in turn. MindWalk just reported its third consecutive quarter of year-over-year revenue growth.

Speaker #2: In addition , we recently signed our first one year enterprise lens AI platform contract . I will walk you through each of those On revenue year over year , we have grown three quarters in a row in a market where pharmaceutical demand for AI driven discovery is accelerating .

Speaker #2: On the commercial model , our largest enterprise AI client recently signed a one year lens AI platform contract . The first of its kind for us Shifting a part of our revenue from project based to contracted and recurring on our pipeline .

Speaker #2: Dengue , glp1 and influenza . Each have data anticipated in the near term Please let me take those in turn Mindwalk just reported its third consecutive quarter of year over year revenue growth .

Speaker #2: Revenue was $4.2 million this quarter, a 52% increase from $2.7 million in the same quarter last year. MindWalk's U.S. revenue, our most important commercial market, doubled year over year.

Jennifer Bath: Revenue was CAD 4.2 million this quarter, a 52% increase from CAD 2.7 million in the same quarter last year. MindWalk's US revenue, our most important commercial market, doubled year-over-year. That growth reflects a deliberate strategic focus on the US market. North America is where AI-driven discovery demand is concentrated and where the regulatory environment is actively pulling pharma toward domestic partners. We have invested in US commercial presence, including business development and sales resources in the Boston and Cambridge area. Separately, we have also established biologics services operations in the Boston and Cambridge area. Both reflect the same strategic direction. Our clients are pharmaceutical and biotech organizations with their own R&D capabilities. They engage us when the challenge exceeds what conventional tools can address. Which brings me to the second thing I would like to highlight.

Speaker #2: That growth reflects a deliberate, strategic focus on the US market. North America is where AI-driven discovery demand is concentrated, and where the regulatory environment is actively pulling pharma toward domestic partners.

Speaker #2: We have invested in US commercial presence . Including business development and sales resources in the Boston and Cambridge area Separately . We have also established biologics services operations in the Boston and Cambridge area , both reflect the same strategic direction Our clients are pharmaceutical and biotech organizations with their own R&D capabilities .

Speaker #2: They engage us when the challenge exceeds what conventional tools can address Which brings me to the second thing I would like to highlight Recently , our largest enterprise , AI client signed a one year lens AI platform contract This contract is structured as a recurring revenue model with revenues being recognized monthly to be precise about why this matters , until now , our revenue has been primarily project based clients engage us for a program we deliver .

Jennifer Bath: Recently, our largest enterprise AI client signed a one-year LENSai platform contract. This contract is structured as a recurring revenue model, with revenues being recognized monthly. To be precise about why this matters, until now, our revenue has been primarily project-based. Clients engage us for a program, we deliver, we invoice. That model produces good revenue, but it requires continuous reselling. Every quarter starts close to zero. A platform contract is structurally different. It is contracted, recurring, monthly revenue that does not require reselling. It delivers value consistently, which is exactly what LENSai is designed to do. LENSai is actively being rolled out across our broader client base. The one-year contract is one we are scaling.

Speaker #2: We invoice that model produces good revenue , but it requires continuous reselling every quarter starts close to zero . A platform contract is structurally different .

Speaker #2: It is contracted , recurring monthly revenue that does not require reselling . It delivers value consistently , which is exactly what lens AI is designed to do Lens AI is actively being rolled out across our broader client base The one year contract is one we are scaling Now let's discuss specifically what lens AI powered by Hfdf technology demonstrated .

Jennifer Bath: Now let's discuss specifically what LENSai, powered by HYFT technology, demonstrated this quarter. At its foundation is HYFT, our patented biological representation system that operates on the invariant functional layer of the sequence space. Sequence-based AI tools identify patterns in surface similarity. HYFT, conversely, operates on functional architecture, the layer that governs what the molecule does, not just what it looks like. LENSai puts that capability into practice, integrated across our laboratory operations now, connecting in silico insight directly to bench-level execution. When our scientists design experiments, they identify targets, and they interpret results. That capability runs through the process end to end. Two results this quarter illustrate what that means. First, we advanced our functional adjacency capability, the ability to identify molecules that produce the same therapeutic effect despite having very low sequence similarity.

Speaker #2: This quarter at its foundation is Hift . Our patented biological representation system that operates on the invariant functional layer of the sequence space Sequence based AI tools identify patterns in surface similarity shift .

Speaker #2: Conversely , operates on functional architecture . The layer that governs what the molecule does , not just what it looks like . Lens AI puts that capability into practice Integrated across our laboratory operations .

Speaker #2: Now connecting in silico insight directly to bench level execution When our scientists design experiments , they identify targets and they interpret results . That capability runs through the process end to end Two results this quarter illustrate what that means First , we advanced our functional adjacency capability .

Speaker #2: The ability to identify molecules that produce the same therapeutic effect Despite having very low sequence similarity . For a pharma partner , this means that lens AI can detect competitive threats and IP collision risks that conventional sequence analysis would not find IP protection on this capability has been initiated Second , in our influenza program , lens AI has now screened over 2000 highly diverse influenza sequences spanning influenza A , influenza B , avian , and swine origin sequences across all sequences analyzed .

Jennifer Bath: For a pharma partner, this means that LENSai can detect competitive threats and IP collision risks that conventional sequence analysis would not find. IP protection on this capability has been initiated. Second, in our influenza program, LENSai has now screened over 2,000 highly diverse influenza sequences, spanning influenza A, influenza B, avian, and swine origin sequences. Across all sequences analyzed, HYFT identified a single conserved functional feature that is present in every single one. A conserved functional feature that represents a potential design target for a broadly protective immunogen. For MindWalk, dengue is proof of concept. Influenza is repeatability. Now our pipeline advancements. Dengue infects 390 million people annually. The WHO considers it a top 10 global health threat.

Speaker #2: If identified , a single conserved functional feature that is present in every single one . A conserved functional feature that represents a potential design target for a broadly protective immunogen For mindwalk , dengue is proof of concept .

Speaker #2: Influenza is repeatability . Now , our pipeline advancements . Dengue infects 390 million people annually . The W.H.O. considers it a top ten global health threat .

Speaker #2: After 60 years of research and billions of dollars of investment . The world still does not have a vaccine that reliably protects against all four serotypes without risk of making the disease worse Two vaccines have reached this market neither solved the core problem .

Jennifer Bath: After 60 years of research and billions of dollars of investment, the world still does not have a vaccine that reliably protects against all four serotypes without risk of making the disease worse. Two vaccines have reached this market. Neither has solved the core problem. Sanofi's Dengvaxia was restricted in 2017 after it was found to increase severe dengue risk in seronegative patients through antibody-dependent enhancement, also known as ADE, and was permanently discontinued in Brazil this year. The vaccine effectively stimulated a primary infection in seronegative recipients, priming them for enhanced disease on subsequent natural exposure. Takeda's Qdenga showed a different failure mode. It demonstrated no efficacy against serotype three in seronegative individuals and remains skewed toward dengue two. Takeda withdrew its FDA application in 2023. You see, the problem is not generating an immune response. Both of those vaccines do that.

Speaker #2: The no fees dengue was restricted in 2017 after it was found to increase severe dengue risk in sero negative patients through antibody dependent enhancement Also known as Ade , and was permanently discontinued in Brazil this year .

Speaker #2: The vaccine effectively stimulated a primary infection in Seronegative recipients , priming them for enhanced disease on subsequent natural exposure . The CTO's dengue showed a different failure mode .

Speaker #2: It demonstrated no efficacy against serotype three in Seronegative individuals and remains skewed toward dengue two . Takeda withdrew its FDA application in 2023 .

Speaker #2: You see the the problem is not generating an immune response . Both of those vaccines do that . The problem is generating a balanced response across multiple serotypes and imbalanced response triggers .

Jennifer Bath: The problem is generating a balanced response across multiple serotypes. An imbalanced response triggers ADE, and that makes the patient sicker. The two vaccines that have reached the market both took a tetravalent approach and hoped the immune system would respond equally, but it doesn't. Across all sequences analyzed, HYFT identified a single conserved functional constraint present in every single dengue sequence, a potential basis for a broadly protective immunogen design. This is a discontinuous epitope. It is invisible to conventional sequence alignment tools. HYFT found it because it operates at the level of functional biological architecture, not surface sequence similarity. Instead of asking the immune system to respond equally to multiple different things, we are training it to recognize one thing that is present in all serotypes. Balanced immunity is built into the design, not hoped for in the final outcome.

Speaker #2: Ade , and that makes the patient sicker The two vaccines that have reached the market , both took a tetravalent approach and hoped the immune system would respond equally .

Speaker #2: But it doesn't Across all sequences analyzed , Hift identified a single conserved functional constraint present in every single dengue sequence . A potential basis for a broadly protective immunogen design .

Speaker #2: This is a discontinuous epitope . It is invisible to conventional sequence alignment tools . If found , it because it operates at the level of functional biological architecture , not surface surface sequence similarity Instead of asking the immune system to respond equally to multiple different things , we are training it to recognize one thing that is present in all serotypes Balanced immunity is built into the design not hoped for in the final outcome .

Speaker #2: Currently , rabbit immunization studies for this program are complete binding confirmation , which is confirming that the immunized animals generated antibodies that bound to that conserved epitope is expected .

Jennifer Bath: Currently, rabbit immunization studies for this program are complete. Binding confirmation, which is confirming that the immunized animals generated antibodies that bound to that conserved epitope, is expected yet this week. Upon confirmation, we move to multi-serotype neutralization testing with our independent collaborator. No prior program has demonstrated a single epitope immunogen generating neutralizing antibodies across all serotypes that it was immunized for. This is what neutralization data will first test. We are at this preclinical stage, but the hardest scientific questions actually get answered here. In vitro GLP-1 receptor activation was confirmed by an independent third-party assay. Results demonstrate activity relative to semaglutide, the market leading GLP-1 therapy. We have worked with a pharma collaborator with recognized expertise in this area. They have shared what they consider important to see as this program advances.

Speaker #2: Yet this week, upon confirmation, we moved to multi-serotype neutralization testing with our independent collaborator. No prior program has demonstrated a single epitope immunogen generating neutralizing antibodies across all serotypes that it was immunized for.

Speaker #2: This is what neutralization data will first test . We are at this preclinical stage , but the hardest scientific questions actually get answered here In vitro GLP one receptor activation was confirmed by an independent third party assay Results demonstrate activity relative to some of glutide the market leading GLP one therapy .

Speaker #2: We have worked with a pharma collaborator with recognized expertise in this area . They have shared what they consider important to see as this program advances .

Speaker #2: We are developing the program with that input in mind . Beyond the GLP one pathway itself , we have identified a dual pathway regimen linking GLP one biology to a second non-overlapping longevity pathway .

Jennifer Bath: We are developing the program with that input in mind. Beyond the GLP-1 pathway itself, we have identified a dual pathway regimen linking GLP-1 biology to a second non-overlapping longevity pathway. We will continue to update the market as this program advances. Our influenza program is advancing on the same design logic. As of this week, we are moving toward manufacturing of the lead in silico candidate. We will update the market as that program continues to develop. US revenue doubled year-over-year, a direct result of our deliberate strategic focus on North America. AI-driven biologics demand is concentrated in this market, and the regulatory environment is increasingly favorable to domestic partners. We have established biologic services operations in the Boston-Cambridge area, and this strategic direction guided our decision to divest our European operations in favor of North American growth.

Speaker #2: We will continue to update the market as this program advances. Our influenza program is advancing on the same design logic as of this week.

Speaker #2: We are moving toward manufacturing of the lead in silico candidate . We will update the market as that program continues to develop US revenue doubled year over year .

Speaker #2: A direct result of our deliberate strategic focus on North America . AI driven biologics demand is concentrated in this market , and the regulatory environment is increasingly favorable to domestic partners .

Speaker #2: We have established biologic services operations in the Boston , Cambridge area , and this strategic direction guided our decision to divest our European operations in favor of North American growth We ended Q3 with $14.2 million in cash .

Jennifer Bath: We ended Q3 with $14.2 million in cash. The Netherlands divestiture proceeds are being deployed deliberately into commercial growth, LENSai and its pipeline assets, and our Canadian laboratory capabilities. Our team published a peer-reviewed study in Biomacromolecules, the American Chemical Society journal, in collaboration with Eindhoven University of Technology and Radboud University Medical Center. That work was grant funded, and it demonstrates what our wet lab nanobody discovery is capable of and the great importance of this innovation. I will come back to this when I describe our B Cell Llama platform launch. This quarter, we announced results from a client-driven research engagement in which our scientists generated and validated monoclonal antibodies and intrabodies capable of selectively targeting misfolded pathogenic TDP-43 while leaving healthy TDP-43 intact. TDP-43 is implicated in ALS, frontotemporal dementia, and some Alzheimer's cases.

Speaker #2: The Netherlands divestiture proceeds are being deployed deliberately into commercial growth, Lens AI and its pipeline assets, and our Canadian laboratory capabilities.

Speaker #2: Our team published a peer reviewed study in Biomacromolecules , the American Chemical Society Journal , in collaboration in collaboration with Eindhoven University of Technology and Radboud University Medical Center .

Speaker #2: That work was grant funded , and it demonstrates what our wet lab Nanobody discovery is capable of and the great importance of this innovation .

Speaker #2: I will come back to this when I describe our B cell llama platform launch This quarter , we announced results from a client driven research engagement in which our scientists generated and validated monoclonal antibodies and intrabodies capable of selectively targeting misfolded pathogenic TDP 43 .

Speaker #2: While leaving healthy TDP 43 intact . TD 43 is implicated in ALS frontotemporal dementia , and some Alzheimer's cases Last week , we announced the launch of our B cell llama A Nanobody discovery platform built on single B cell isolation from immunized llamas .

Jennifer Bath: Last week, we announced the launch of our B Cell Llama, a nanobody discovery platform built on single B cell isolation from immunized llamas. Let me explain why this matters. Bispecific and multispecific antibodies require two heavy chains, and when those chains need two different light chains, the result is an explosion of possible combinations, only one of which is the product that you actually want. That chain pairing problem has been one of the central engineering bottlenecks limiting bispecific drug development, and significant capital has been invested in platforms designed to work around it. VHH nanobodies eliminate the problem by design. They carry no light chain. There is no pairing ambiguity. Because they come from a naturally matured llama immune repertoire, they capture sequence diversity that engineered platforms structurally cannot replicate. Our peer-reviewed Biomacromolecules publication demonstrates what that produces.

Speaker #2: Let me explain why this matters . By specific and multispecific antibodies require two heavy chains , and when those chains need two different light chains , the result is an explosion of possible combinations .

Speaker #2: Only one of which is the product that you actually want. That chain pairing problem has been one of the central engineering bottlenecks, limiting bispecific drug development, and significant capital has been invested in platforms designed to work around it.

Speaker #2: The nanobodies eliminate the problem by design . They carry no light chain . There is no pairing . Ambiguity , and because they come from a naturally matured llama , immune repertoire , they capture sequence diversity that engineered platforms structurally cannot replicate our peer reviewed biomacromolecules publication demonstrates what that produces the molecule with the strongest binding affinity in our assays delivers zero functional activity , a construct built from the same nanobody building blocks achieved 10 to 25 times greater potency in multivalent format function based selection , not affinity , is what matters .

Jennifer Bath: The molecule with the strongest binding affinity in our assays delivered zero functional activity. A construct built from the same nanobody building blocks achieved 10 to 25 times greater potency in multivalent format. Function-based selection, not affinity, is what matters. That is what B Cell Llama is designed to deliver. MindWire holds commercial rights to the jointly developed intellectual property from that work. B Cell Llama operates alongside our B Cell Select, our existing platform with over 15 molecules advanced to the clinic. The full detail is in last week's announcement. Across our proprietary asset portfolio, GLP-1, dengue, and influenza, and at the request of investors, we are working with legal and financial advisors to design structured asset-level financing vehicles that will allow investors to participate at the program level while preserving parent company equity. That work is active and progressing. I will now turn the call over to Scott.

Speaker #2: That is what B cell llama is designed to deliver . Mindwalk holds commercial rights to the jointly developed intellectual property . From that work .

Speaker #2: B cell Llama operates alongside our B cell select our existing platform with over 15 molecules advanced to the clinic . The full detail is in last week's announcement across our proprietary asset portfolio , GLP one , dengue and influenza , and at the request of investors , we are working with legal and financial advisors to .

Speaker #2: Design structured asset level financing vehicles that will allow investors to participate at the program level while preserving parent company equity . That work is active and progressing I will now turn the call over to Scott

Speaker #3: Thank you , Jennifer , and good morning everyone . As a note , all figures are in Canadian dollars and relate to continuing operations unless stated otherwise .

Scott Arigotto: Thank you, Jennifer, and good morning, everyone. As a note, all figures are in Canadian dollars and relate to continuing operations unless stated otherwise. Revenue for Q3 was CAD 4.2 million or a 52% increase from 2.7 million dollars in Q3 of last year. As Jen noted, this is our third consecutive quarter of year-over-year revenue growth. US revenue doubled year-over-year, $2.6 million versus $1.3 million. The US is named a strategic priority. AI-driven discovery demand is concentrated here, and our commercial investments are reflected in the numbers. For the nine-month period ending 31 January 2026, our revenue was CAD 11.4 million as compared to CAD 7.9 million or a 45% increase as compared to the prior year period.

Speaker #3: Revenue for Q3 was $4.2 million or a 52% increase from $2.7 million in Q3 of last year . As Jen noted , this is our third consecutive quarter of year over year revenue growth .

Speaker #3: US revenue doubled year over year , $2.6 million versus $1.3 million . The US is named a strategic priority AI driven discovery demand is concentrated here , and our commercial investments are reflected in the numbers for the nine month period ending January 31st , 2026 .

Speaker #3: Our revenue was $11.4 million as compared to $7.9 million , or a 45% increase as compared to the prior year period Gross margin for the three months ended January 31st , 2026 was 59% as compared to 65% in the prior year period .

Scott Arigotto: Gross margin for the three months ending 31 January 2026 was 59% as compared to 65% in the prior year period. For the nine-month period ended January 2026, gross margin was 58% as compared to 53%, a 5 percentage point improvement over the same period last year. Gross margin can vary depending on our mix of business. However, as we develop and increase adoption of the tools within our LENSai platform, we would expect margins to expand. Moving on to operating expenses. For Q3 2026, R&D expense was $1.2 million as compared to $0.9 million for the prior year period, due to the investments in the dengue, GLP-1, and B Cell Llama programs and ongoing LENSai platform development.

Speaker #3: For the nine-month period ended January 2026, gross margin was 58%, as compared to 53%, a five percentage point improvement over the same period last year.

Speaker #3: Gross margin can vary depending on our mix of business . However , as we develop and increase adoption of the tools within our lens , AI platform , we would expect margins to expand Moving on to operating expenses for the third quarter of 2026 , R&D expense was $1.2 million as compared to 0.9 million for the prior year period .

Speaker #3: Due to the investments in the dengue , GLP one and BSL , Lama programs and ongoing lens AI platform development for the nine month period ended January 31st , 2026 , R&D expense was 3.5 million versus 3.4 million in the prior year .

Scott Arigotto: For the 9-month period ended 31 January 2026, R&D expense was CAD 3.5 million versus CAD 3.4 million in the prior year. Sales and marketing for the 3-month period ended 31 January 2026, was CAD 1.8 million dollars, as compared to CAD 1.1 million dollars in the same period last year, reflecting our continued commercial expansion, primarily in the US, with programs such as our expansion in the Boston area starting to yield revenue. For the 9-month period ended January 2026, sales and marketing expense was CAD 4.3 million, compared to CAD 2.7 million for the 9 months ended January 2025. G&A was CAD 3.1 million dollars for Q3 of 2026, as compared to CAD 2.8 million for Q3 of 2025.

Speaker #3: Sales and marketing for the three month period ended January 31st , 2026 was $1.8 million as compared to $1.1 million in the same period last year , reflecting our continued commercial expansion primarily in the US , with programs such as our expansion in the Boston area starting to yield revenue for the nine month period ended January 2026 , sales and marketing expense was 4.3 million , compared to 2.7 million for the nine months ended January 2025 .

Speaker #3: G&A was $3.1 million for the third quarter of 2026 , as compared to 2.8 million for the third quarter of 2025 . G&A expense was 9.5 million for the nine months ended January 2026 .

Scott Arigotto: G&A expense was CAD 9.5 million for the nine months ended January 2026, as compared to CAD 9.1 million for the prior year period. We expect G&A to remain flat to modest growth as we believe we have the infrastructure to support future growth. Net loss from continuing operations for Q3 2026 was CAD 3.9 million versus CAD 22 million in Q3 2025. Net loss in the prior year period included impairment charge of CAD 21.2 million. For the nine-month period ended January 2026, net loss was CAD 11.2 million as compared to CAD 29.7 million for the nine-month period ended January 2025, which also reflected the CAD 21.2 million charge. We are investing ahead of revenue in commercial infrastructure, pipeline programs, and platform capabilities with the expectation that these investments will yield returns.

Speaker #3: As compared to 9.1 million for the prior year period . We expect G&A to remain flat to modest growth as we believe we have the infrastructure to support future growth Net loss from continuing operations for Q3 2026 was $3.9 million , versus 22 million in Q3 25 .

Speaker #3: Net loss in the prior year period included impairment charge of 21.2 million for the nine month period ended January 20th , 26 . Net loss was 11.2 million as compared to 29.7 million for the nine month period ended January 20th , 25 , which also reflected the $21.2 million charge .

Speaker #3: We are investing ahead of revenue in commercial infrastructure, pipeline programs, and platform capabilities with the expectation that these investments will yield returns. Moving on to the balance sheet, we ended the third quarter with $14.2 million in cash. Cash used in operations was $10.8 million, $10.1 million year to date.

Scott Arigotto: Moving on to the balance sheet. We ended Q3 with $14.2 million in cash. Cash used in operations was $10.1 million year to date, consistent with our planned investments. In summary, revenue has grown year-over-year, and we have demonstrated the ability to execute. We have developed a platform and products that bring value to our customers, and we continue to innovate with programs such as our recent announcement of our B Cell Llama capability and functional adjacency. We have cash runway for operations and a capital structure to support the ongoing development of our proprietary pipeline assets. We believe this will continue to drive shareholder value. I will now return the call to Jennifer.

Speaker #3: Consistent with our planned investments . In summary , revenue has grown year over year and we have demonstrated the ability to execute . We have developed a platform and products that bring value to our customers , and we continue to innovate with programs such as our recent announcement of our B-cell llama capability and functional adjacency .

Speaker #3: We have cash runway for operations in a capital structure to support the ongoing development of our proprietary pipeline assets . We believe this will continue to drive shareholder value .

Speaker #3: I will now return the call to Jennifer

Speaker #2: Thank you . Scott . Before we open for questions , I would like to leave you with this . Most AI approaches in biologics today operate on full biological sequences .

Jennifer Bath: Thank you, Scott. Before we open for questions, I would like to leave you with this. Most AI approaches in biologics today operate on full biological sequences. They tokenize, they train, they generate. Many are powerful, and they are operating on a representation of biologics, biology, that includes a great deal of noise. Evolution is a tolerant process. Most positions in a biological sequence can change without consequence. That variation fills the public databases that these models train on. A much smaller set of subsequences is invariant. They cannot change because essential biological function depends on them. These are the fingerprints that actually carry the information for life. HYFT is our patented representation of that invariant layer. No other company has the rights to use these patterns. That is the foundation of a durable competitive position.

Speaker #2: They tokenize , they train , they generate . Many are powerful and they are operating on a representation of biological biology that includes a great deal of noise .

Speaker #2: Evolution is a tolerant process. Most positions in a biological sequence can change without consequence. That variation fills the public databases, but these models train on a much smaller set of subsequences that is invariant.

Speaker #2: They cannot change because essential biological function depends on them . These are the fingerprints that actually carry the information for life . Hift is our patented representation of that invariance layer .

Speaker #2: No other company has the rights to use these patterns . That is the foundation of a durable , competitive position . Because every result we generate , every insight we deliver and every asset we build rests on a biological foundation that competitors cannot replicate .

Jennifer Bath: Because every result we generate, every insight we deliver, and every asset we build rests on a biological foundation that competitors cannot replicate, and it's producing results. We identified a dengue epitope conserved across all 4 serotypes, a target that 60 years of vaccinology did not find. We detected functional adjacency that sequence-based platforms missed and initiated IP protection on that capability. We screened over 2,000 influenza sequences and found a single conserved biological feature present in every single one. Our GLP-1 candidate demonstrated activity relative to semaglutide, the market-leading GLP-1 therapy in independent third-party in vitro testing. We launched B Cell Llama, a nanobody discovery platform anchored by peer-reviewed evidence that function-based candidate selection outperforms affinity-based selection at the molecular level. On commercial, we are scaling the enterprise platform model.

Speaker #2: And it's producing results. We identify the dengue epitope conserved across all four serotypes. The target that 60 years of vaccinology did not find.

Speaker #2: We detected functional adjacency . That sequence based platforms miss and initiated IP protection on that capability . We screened over 2000 influenza sequences and found a single conserved biological feature present in every single one .

Speaker #2: Our GLP one candidate demonstrated activity relative to semaglutide , the market leading GLP one therapy in independent third party in vitro testing . We launched B-cell llama , a Nanobody discovery platform anchored by peer reviewed evidence that function based candidate selection outperforms affinity based selection at the molecular level On commercial , we are scaling the enterprise platform model .

Speaker #2: Additional contracted recurring platform agreements with major pharma and biotech partners, building a revenue base that grows independently of any single project on the pipeline.

Jennifer Bath: Additional contracted recurring platform agreements with major pharma and biotech partners, building a revenue base that grows independently of any single project. On pipeline. Dengue neutralization data is our nearest-term pipeline. Dengue is proof of concept for what HYFT can do. Influenza is repeatability. Together, they make the platform case to pharma partners better than anything else that we could say. On asset financing, legal and financial advisors are engaged, and structures are being designed across the proprietary portfolio. Before we open for questions, I want to leave you with this. The science is patented, the results are peer-reviewed. The first enterprise contract is signed. The pipeline has meaningful data approaching. These three consecutive quarters of year-over-year revenue growth, US revenue doubled, a platform that no competitors can replicate. This is the MindWalk investment case. Thank you. We will now open the line for questions.

Speaker #2: Dengue neutralization data is our nearest term pipeline . Dengue is proof of concept for what Hift can do . Influenza is repeatability Together , they make the platform case to pharma partners better than anything else than we could say on asset financing , legal and financial advisers are engaged and structures are being designed across the .

Speaker #2: The proprietary portfolio Before we open for questions , to leave you with this . The science is patented . The results are peer reviewed .

Speaker #2: The first enterprise contract is signed . The pipeline has meaningful data approaching these three consecutive quarters of year over year revenue growth . US revenue doubled a made a platform that no competitors can replicate .

Speaker #2: This is the mind walk investment case Thank you . We will now open the line for questions

Speaker #1: Thank you . We will now begin the question and answer session To ask a question , please press star . Then the number one on your telephone keypad to raise your hand and enter the queue .

Operator: Thank you. We will now begin the question and answer session. To ask a question, please press star then the number one on your telephone keypad to raise your hand and enter the queue. If you'd like to withdraw your question at any time, please press star one again. Please limit yourself to one question and one follow-up. Please stand by while we compile the Q&A roster. Your first question comes from the line of Swayampakula Ramakanth with H.C. Wainwright. Your line is open.

Speaker #1: If you'd like to withdraw your question at any time, please press star one again. Please limit yourself to one question and one follow-up.

Speaker #1: Please stand by while we compile the Q&A roster comes from the line of Swayam Ramakanth with H.C. Wainwright . Your line is open .

Swayampakula Ramakanth: Thank you. This is RK from H.C. Wainwright. Good morning, Jennifer, Scott.

Speaker #4: Thank you . This is R.K. from Wainwright Good morning . Jennifer Scott .

Speaker #3: Good morning . Okay .

Jennifer Bath: Good morning, RK.

Swayampakula Ramakanth: This is a great quarter. A lot of good stuff and really exciting days for you guys.

Speaker #4: This is this is a great quarter . A lot of lot of good stuff . And and really exciting days for you guys .

Swayampakula Ramakanth: This is a great quarter. A lot of good stuff and really exciting days for you guys.

Speaker #4: Thank you Jennifer or Scott in terms of , you know , the the agreement that you just signed the enterprise , the enterprise client agreement that you just signed on the on the recurring contract , you know , I'm trying to understand what drove this group to do this .

Jennifer Bath: Thank you.

Swayampakula Ramakanth: Jennifer and Scott, in terms of, you know, the agreement that you just signed, the enterprise agreement, the enterprise client agreement that you just signed on the recurring contract, you know, I'm trying to understand what drove this group to do this, you know, what was the primary driver? Second part of that same question is, you know, how many of your other project-based clients are willing to convert, you know, into this monthly recurring model, let's say, over the next 6 to 12 months?

Speaker #4: You know , what was the primary driver ? And then and second part of that same question is , you know , how many of your other project based clients are willing to convert , you know , into this monthly recurring model , let's say over the next 6 to 12 months

Speaker #2: Thank you . And thanks for joining . And as usual , for your thoughtful questions . So your first question , what really drove this first pharma client to go ahead and sign this contract ?

Jennifer Bath: Thank you, RK, and thanks for joining and, as usual, for your thoughtful questions. So your first question, what really drove this first pharma client to go ahead and sign this contract? That's a very good question. I think I like this in particular because giving me the opportunity to explain this also gives me the opportunity to demonstrate the validation that needed to occur before a client took this type of a commitment long-term with us. I do believe this is a client I've referred to anecdotally, historically, one or two times, and it is a client who initially came to us, having tried multiple other companies that said that they could utilize artificial intelligence to help solve some of their problems, some of their scientific challenges. The group was relatively dismayed.

Speaker #2: I that's a very good question . I think I think I like this in particular because giving me the opportunity to explain this also gives me the opportunity to demonstrate the validation that needed to occur before a client took this type of a commitment .

Speaker #2: Long term with us . I do believe this is a client I've referred to anecdotally . Historically , 1 or 2 times , and as a client who initially came to us having tried multiple other companies that said that they could utilize artificial intelligence to help solve some of their problems , some of their scientific challenges and the group was relatively dismayed .

Speaker #2: They said that , you know , it in reality , none of those none of those CRM partners or companies were able to turn back results that were as good as what they could do in the wet lab .

Jennifer Bath: They said that, you know, in reality, none of those CRO partners or companies were able to turn back results that were as good as what they could do in the wet lab. They were apprehensive, and they were doubtful. When we first brought this group in, it was actually for fee-for-service work. What we said to them is, we know you have programs that have been extremely difficult and you've worked on for over a decade. Let us take a crack at it. Let us apply LENSai to it, and if we are not successful, then you don't pay us. But we really want to show you what we can do. We worked on that program for them, and we were successful.

Speaker #2: And so they were apprehensive and they were doubtful . And so when we first brought this group in , it was actually for fee for service work .

Speaker #2: And what we said to them is , we know you have programs that have been extremely difficult , and you've worked on for over a decade .

Speaker #2: Let us take a crack at it . Let us apply AI to it . And if we are not successful , then you don't pay us .

Speaker #2: But we really want to show you what we can do. And we worked on that program for them, and we were successful.

Speaker #2: And they saw the outputs coming directly from lens AI and even some applications that you might walk in Belgium , also known as bio strand , built specifically for producing these outcomes in the program , they were tremendously happy with the results , and they've now contracted us .

Jennifer Bath: They saw the outputs coming directly from LENSai and even some applications that MindWalk in Belgium, also known as BioStrand, built specifically for producing these outcomes in the program. They were tremendously happy with the results, and they've now contracted us, I'm not sure, somewhere between 7 to 10 times in total, for different programs. LENSai has continued to successfully solve very challenging problems for them. That is really where we earned their respect and I think their trust for this LENSai program. That is what really brought them to the table to negotiate the platform license as a SaaS model.

Speaker #2: I'm not sure, somewhere between 7 to 10 times in total for different programs, and Lens AI has continued to successfully solve very challenging problems for them. And that is really where we earned their respect.

Speaker #2: And I think their trust for this lens . AI program . And that is what really brought them to the table to negotiate the platform license as a SaaS model .

Speaker #2: And so our intent , obviously , is to leverage that experience with them to , to , you know , be able to bring on additional clients for those clients to understand and , and us also to be able to share the positive experiences this group has had .

Jennifer Bath: Our intent obviously is to leverage that experience with them to, you know, be able to bring on additional clients for those clients to understand, and us also to be able to share the positive experience this group has had. Now, that being said, you know, for your second question, you know, we're not providing specific pipeline numbers or timelines for additional contracts. One thing that I think is really important to highlight and maybe wasn't highlighted enough in the earnings call is that LENSai is now actively being rolled out across our broader client base. All the programs we're working on, not just the programs we're working on in Belgium, where this LENSai lives, but also in Canada with all of our wet lab clients, right?

Speaker #2: Now , that being said , you know , for your second question , you know , we're not providing specific pipeline numbers or timelines for additional contracts , but one thing that I think is really important to highlight and maybe wasn't highlighted enough in the earnings call , is that lens AI is now actively being rolled out across our broader client base .

Speaker #2: And so all the programs we're working on , not just the programs we're working on in Belgium , where this lens AI lives , but also in Canada with all of our wet lab clients , right ?

Speaker #2: So , so somewhere close to 750 active clients , you know , dozens of programs running at any given time . Those results are all now finally coming back in the lens AI portal .

Jennifer Bath: Somewhere close to 750 active clients, you know, dozens of programs running at any given time. Those results are all now finally coming back in the LENSai portal. These groups are receiving secure login, and when they log in, they have access to this portal, and they can see the applications that are in there that truly change the way they have done drug discovery historically. Now they can utilize these applications and instead of going to 3, 4, 5, 6 other vendors to collect information or, you know, kind of chugging through the process over the course of 18 months to 2 years, they can literally take a subscription to utilize these applications beyond the base level to harness the power and get the results that they're looking for.

Speaker #2: So these groups are receiving secure login . And when they log in , they have access to this portal and they can see the applications that are in there that truly change the way they have done drug discovery historically .

Speaker #2: Now they can utilize these applications instead of going two , three , four , five , six other vendors to collect information or , you know , kind of chugging through the process over the course of 18 months to two years , they can .

Speaker #2: Literally take a subscription to utilize these applications beyond the base level to harness the power and get the results that they're looking for .

Speaker #2: And so being at that point in this venture is very important to our company . It's something we've built toward and worked toward .

Jennifer Bath: Being at that point in this venture is very important to our company. It's something we've built toward and worked toward. It took longer than we hoped it would to get this software into the hands of these clients. It's now happening not just across our therapeutic clients, but clients who have contracted us really for any sort of custom antibody work. With regard to that, when we think about additional contracts and bringing these new clients in, that's where we're really focused. We feel we have an extremely unique situation where these clients are already onboarded. We are, in many cases, their primary vendor, but in all cases we are a vendor that's in their system, and we've already built their trust and their respect, and so we have a very unique segue into this market with those clients.

Speaker #2: It took longer than we hoped it would to get this software into the hands of these clients . And its now happening not just across our therapeutic clients , but clients who have contracted us .

Speaker #2: Really , for any sort of custom antibody work . And so with regard to that , when we think about additional contracts and bringing these new clients in , that's where we're really focused .

Speaker #2: We feel we have an extremely unique situation where these clients are already onboarded . We are , in many cases , their primary vendor , but in all cases , we are a vendor that's in their system .

Speaker #2: And we've already built their trust and their respect. And so we have a very unique segue into this market with those clients.

Speaker #4: Thanks . Thanks for that detailed answer . And if I may , second question is this is on the asset level financing as I do understand , you know , lawyers and investors can take a long time to come to a conclusion about anything , but how much of that are you waiting for in terms of these four different projects slash platforms that you have , you know , thinking about the dengue , the GLP one llama , all of these are you on the influence as well ?

Swayampakula Ramakanth: Thanks. Thanks for that detailed answer.

Jennifer Bath: Mm-hmm.

Swayampakula Ramakanth: If I may, a second question is, this is on the asset level financing. As I do understand, you know, lawyers and investors can take a long time to come to a conclusion about anything, but how much of that are you waiting for in terms of these four different projects/platforms that you have, you know, thinking about the dengue, the GLP-1, Llama, all of these, and the influenza as well, that's the fourth one. How do you need to get to a conclusion with these groups before you move these forward? Or these are all independent of each other, and they're all moving forward?

Speaker #4: That's the fourth one . How do you need to get to a conclusion with these groups before you move this forward or these are all independent of each other and they're all moving forward

Jennifer Bath: That is a great question. The short answer is they're independent of one another as they move forward. A couple of things to keep in mind. When we look at financing these particular programs, I think that one of the things that's easy to overlook is the fact that our program costs are not what you would expect from a traditional drug development company at this stage. So much of our work is in silico, but also much of our in silico work, our in vitro work, and even our preclinical work is either AI driven or it's conducted in-house. That keeps our costs meaningfully lower than a conventional pipeline of this, that of this breadth would require. It's also one of the structural advantages that we have building on the HYFT platform.

Speaker #2: So that is a great question . So the short answer is they're independent of one another as they move forward . A couple of things to to keep in mind when we look at financing these particular programs I think that I think that one of the things that's easy to overlook is the fact that our program costs are not what you would expect from a traditional drug development company at this stage .

Speaker #2: So much of our work is in silico , but also much of our in silico work , our in vitro work , and even our preclinical work is either AI driven or it's conducted in-house .

Speaker #2: So that keeps our costs meaningfully lower than a conventional pipeline of this , of this breadth would require . And it's also one of the structural advantages that we have building on the hips platform .

Speaker #2: And so as a result of that and directly in reference to your question , okay , the capital that we currently have is capital that is enough to drive us significantly forward in these engagements as a matter of fact , as one of the things that was detailed by Scott was , you know , the R&D expenses , which are not up significantly over last year .

Jennifer Bath: As a result of that, and directly in reference to your question, RK, the capital that we currently have is capital that is enough to drive us significantly forward in these engagements. As a matter of fact, as one of the things what was detailed by Scott was, you know, the R&D expenses, which are not up significantly over last year and yet cover not only our traditional R&D and the build-out of the B Cell platform, but also covers everything we've done to date here. That gives you, I think, kind of a specific example of that.

Speaker #2: And yet cover not only our traditional R&D and the build out of the B cell platform , but also covers everything we've done to date here .

Speaker #2: And so that gives you , I think , kind of a specific example of that . Now , when it comes to the asset level financing , you know , that is something that definitely as these programs become more advanced , one of the things that , you know , we haven't talked too much about , but that we've ensured we have in place as we move forward as a professional team that has the experience in the clinical realm and the subject matter experience , which with each of these families of viruses or the particular therapeutic or or disease that we're targeting in order to help drive this process along through the preclinical portion and the IND enabling the IND filing and the clinical readiness .

Jennifer Bath: Now when it comes to the asset level financing, you know, that is something that definitely, as these programs become more advanced, one of the things that, you know, we haven't talked too much about, but that we've ensured we have in place as we move forward, is a professional team that has the experience in the clinical realm and the subject matter experience, which with each of these families of viruses or the particular therapeutic or disease that we're targeting, in order to help drive this process along through the preclinical portion, the IND enabling, the IND filing, and the clinical readiness. When we get to those stages, of course, then the cost does begin to increase.

Speaker #2: And when we get to those stages , of course , then the cost does begin to increase . And so as to whether or not these portions at that stage can move forward prior to the asset , the , the , the , the asset level financing to some extent , yes , most definitely .

Jennifer Bath: As to whether or not these portions at that stage can move forward prior to the asset level financing, to some extent, yes, most definitely. Once again, because we do have a team set forward here with the internal expertise. In addition to that, the asset level financing is meant to support once we get to that stage. We have enough runway here that, you know, the lead time that it takes to actually get these ring-fenced should be one that enables us to bring in additional capital to support those by that time.

Speaker #2: Once again , because we do have a team set forward here with the with the internal expertise . But in addition to that , the asset level financing is meant to support .

Speaker #2: Once we get to that stage , we have enough runway here that , you know , the lead time that it takes to actually get these ring fenced should be one that enables us to bring in additional capital to support those .

Speaker #2: By that time .

Speaker #4: Thank you . I will step back into the queue . Thanks .

Swayampakula Ramakanth: Thank you.

Jennifer Bath: Mm-hmm.

Swayampakula Ramakanth: Step back into the queue. Thanks.

Speaker #2: Thanks , okay

Jennifer Bath: Thanks, RK.

Speaker #1: And thank you. There are no further questions at this time. I will now turn the call back over to Dr. Barth for closing remarks.

Operator: Thank you. There are no further questions at this time. I will now turn the call back over to Dr. Bath for closing remarks.

Speaker #2: Great . Thank you so much All right . So really , the biggest thing that I want to say is thank you all .

Jennifer Bath: Great. Thank you so much. All right. Really the biggest thing that I want to say is thank you all. Thank you all for joining us. Thank you all for supporting MindWalk. We look forward to sharing pipeline results as they become available, and we will speak with all of you on our Q4 and fiscal year-end 2026 earnings call. Thank you.

Speaker #2: Thank you all for joining us . Thank you all for supporting Mindwalk . We look forward to sharing pipeline results as they become available .

Speaker #2: And we will speak with all of you on our Q4 and fiscal year end . 26 earnings call . Thank you

Operator: This concludes today's MindWalk Holdings Q3 fiscal year 2026 earnings call. Thank you for your participation. You may now disconnect.

Q3 2026 MindWalk Holdings Corp Earnings Call

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