Q2 2026 GSI Technology Inc Earnings Call

Speaker #3: Ladies and gentlemen , thank you for standing by . Welcome to GSI technologies . Second quarter fiscal 2026 results . Conference call . At this time , all participants are in a listen only mode .

Speaker #3: Later , we will conduct a question and answer session . At that time , we will provide instructions for those interested in entering the queue for Q&A .

Speaker #3: Before we begin , today's call , the company has requested that I read the following safe Harbor statement . The matters discussed in this conference may may include forward looking statements regarding future events and the future performance of GSI technology that involve risks and uncertainties that could cause actual results to differ materially from those anticipated .

Speaker #3: These risks and uncertainties are described in the Company's Form 10-K filed with the Securities and Exchange Commission . Additionally , I have also been asked to advise you that this conference is being recorded today , October 30th , 2025 , as the request of GSI technology hosting the call today is Lee-Lean Shu .

Lee-Lean Shu: Hosting the call today is Lee-Lean Shu, the company's Chairman, President, and Chief Executive Officer. With him are Douglas Schirle, Chief Financial Officer, and Didier Lasserre, Vice President of Sales. I would now like to turn the call over to Mr. Shu. Please go ahead, sir. Good afternoon, everyone, and thank you for joining us today. Let me start by highlighting two recent and important events for GSI. First, we announced the research paper published by Cornell University in mid-October. The paper verified that all Gemini-I chips perform on par with NVIDIA's A6000 on certain AI tasks while consuming roughly 98% less energy. This paper validated the disruptive potential of our compute and memory design, particularly for the real-time commercialization of Gemini-II.

Speaker #3: The company's chairman , president and Chief Executive Officer . With him are Douglas Schirle chief Financial Officer and DDA Lasser , vice president of sales .

Speaker #3: I would now like to turn the call over to Mr. Hsu. Please go ahead, sir.

Speaker #4: Good afternoon , everyone , and thank you for joining us today . Let me start by highlighting two , two recent and important events for GSI .

Speaker #4: First , we announced the research paper published by Cornell University in mid-October . The paper verified that our Gemini one chip performed on par with Nvidia's A6000 on certain AI tasks while consuming roughly 90% less energy .

Speaker #4: This paper validated the disruptive potential of our computing memory design , particularly for the near-term commercialization of Gemini two . With eight times the memory and ten times the performance of Gemini one .

Lee-Lean Shu: With eight times the memory and ten times the performance of Gemini-I, Gemini-II is positioned to deliver superior processing at a fraction of the power when compared to existing solutions. This brings me to my second point. The market quickly recognized the significance of our compute and memory validation with the Cornell paper. Building on the momentum from the paper's findings, we closed a $50 million equity financing. We have now deployed that capital to accelerate execution across our hardware and software build-outs, making this a pivotal period for GSI's growth. Post-funding, we are working on the initiative in parallel. First, we have begun the work to acquire the necessary IP for PLATO, which will allow us to start hardware development. This IP provides crucial connections to support broader system interface and the prototyping for future customer applications.

Speaker #4: Gemini two is positioned to deliver superior processing at a fraction of the power when compared to existing solutions . This brings me to my second point the market quickly recognized the significance of our compute in memory validation , which the Cornell paper , building on the momentum from the paper finding .

Speaker #4: We closed a $50 million equity financing . We are now deploying the capital to accelerate execution across our hardware and software , build off , making this a pivotal period for GSF growth .

Speaker #4: Fourth , funding . We are working on the initiative in parallel . First , we have begun the work to acquire the necessary IP for Plato , which will allow us to start hardware development .

Speaker #4: This IP provides crucial connection to support broader system interface and prototyping for future customer , customer applications to accelerate time to market and capture market opportunities sooner .

Lee-Lean Shu: To accelerate PLATO's time-to-market and capture market opportunities sooner, we are building an additional software team to support PLATO. Second, to expedite the build-out of our Gemini-II software solutions and applications, we are investing in all the layers that make the platform more accessible and flexible for developers. These software tools are essential for customers integrating Gemini-II hardware into AI and signal processing workflows, particularly in edge and defense applications where efficiency and low power provide a competitive advantage. Looking ahead, our initiatives for calendar year 2026 are centered on converting proof-of-concept (POC) projects into commercial customers and expanding those relationships into large production programs. Didier will provide an update on where those efforts stand today. To sum up, our post-funding initiative will be targeted and disciplined.

Speaker #4: We are building additional software to support Plato. Second, to expedite the bureau of our Gemini II software solutions and applications, we are investing in all the layers that make the platform more accessible and flexible for developers.

Speaker #4: These software tools are essential for customers integrating Gemini II hardware into AI and signal processing workflows, particularly in edge and defense applications where efficiency and low power provide a competitive advantage.

Speaker #4: Looking ahead , our initiatives for calendar year 2026 are centered on converting proof of concept projects into commercial customers and expanding those relationships into large production programs .

Speaker #4: DD will provide an update on where those efforts stand today . To sum up , our post funding initiatives will target and discipline will be targeted and disciplined .

Speaker #4: We are rapidly moving forward with the parietal hardware design and software development , ramping up our Gemini software ecosystem and strengthening ties with key defense and government partners in our POC and small business innovation research .

Lee-Lean Shu: We are rapidly moving forward with the PLATO hardware design and software development, ramping up our Gemini software ecosystem, and strengthening ties with key defense and government partners in our POC and the Small Business Innovation Research (SBIR) programs. These actions position GSI Technology Inc. to turn technical progress into commercial success in the high-value edge and defense applications, such as drone, military vehicles, satellite, and other use cases, and ride the wave of AI compute innovation. Now, I hand the call over to Didier, who will provide more details on this topic and discuss our business development and the sales activities. Please go ahead, Didier. Thank you, Lee-Lean. Let me expand on the topics that Lee-Lean just highlighted. We continue to advance our ongoing projects, including our SBIR and POC engagements with potential customers.

Speaker #4: SBIR programs . This action positioned GSI to turn technical progress into commercial success in the high value edge and defense applications such as strong military vehicles , satellites , and other use cases , and right of for AI compute innovation .

Speaker #4: Now , I hand the call over to DD , who will provide more details on this topic and discuss our business development and sales activities .

Speaker #4: Please go ahead .

Speaker #5: Thank you . Lily . Let me expand on the topics that Lee-Lean Shu just highlighted . We continue to advance our ongoing projects , including our SBIR and POC engagements with potential customers .

Speaker #5: Recently , Gemini two has been approved for prototyping by the Offshore Defense contractor to whom we shipped a board and software to a few months back .

Lee-Lean Shu: Recently, Gemini-II has been approved for prototyping by the offshore defense contractor to whom we shipped a board and software to a few months back. This POC focuses on synthetic aperture radar (SAR) applications for drones and other edge systems. What's exciting here is that our solution delivers the required performance while maintaining an extremely low power profile, around 15 watts, making it ideal for compact energy-constrained environments. For added context on just how competitive the solution is, an incandescent light bulb uses about four times more wattage than our solution. We are also involved in a joint POC involving two defense organizations and a drone integration partner. This Gemini-II project combines YOLO models we developed with multimodal large language model processing at the edge, specifically targeting time-to-first token, a key performance metric for drones.

Speaker #5: This POC focuses on Synthetic Aperture Radar, or SAR, applications for drones and other edge systems. What's exciting here is that our solution delivers the required performance while maintaining an extremely low power profile.

Speaker #5: Around 15W , making it ideal for compact energy constrained environments . For added context on just how competitive this solution is , an incandescent light bulb uses about four times more wattage than our solution .

Speaker #5: We are also involved in a joint POC involving two defense organizations and a drone integration partner . This Gemini two project combines YOLO model we developed with multimodal large language model processing at the edge , specifically targeting time to first token a key performance metric for drones .

Speaker #5: Along with our partner , we successfully demonstrated the end to end application to one of the potential end customers . Gemini two outperformed the competing solution , particularly in how quickly the model produces its first response .

Lee-Lean Shu: Along with our partner, we successfully demonstrated the end-to-end application to one of the potential end customers. Gemini-II outperformed the competing solution, particularly in how quickly the model produces its first response. We are now optimizing the algorithm and expect to publish initial benchmark results before year-end, with a fully optimized version available in the first half of calendar 2026. This algorithm would be for defense applications such as drones, satellites, and other military vehicles. Gemini-II is a central part of the near-term commercialization roadmap, and we are encouraged by the customer engagement and technical validation that is being received. Turning to our PLATO program, we are embarking on the journey towards a major milestone: the tape-out of the PLATO chip in early calendar 2027.

Speaker #5: We are now optimizing the algorithm and expect to publish initial benchmark results before year end with a fully optimized version available in the first half of calendar 2026 .

Speaker #5: This algorithm would be for defense applications such as drones , satellites , and other military vehicles . Gemini two is a central part of the near-term commercialization roadmap , and we are encouraged by the customer engagement and technical validation that is being received .

Speaker #5: Turning to our Plato program , we are embarking on the journey towards a major milestone the tape of Plato , Chip in early calendar 2027 .

Speaker #5: Over the next year or so , we plan to actively engage several strategic partners for Plato , who could provide funding and collaborate on testing and prototyping .

Lee-Lean Shu: Over the next year or so, we plan to actively engage several strategic partners for PLATO who could provide funding and collaborate on testing and prototyping early versions of the chip. Their involvement would also support the development of software libraries and APIs, ensuring that PLATO becomes a versatile, scalable solution across multiple markets, starting with defense. In military and defense applications, the APU's high performance and low power capabilities provide unique advantages, and PLATO will further enhance critical functions such as SAR imaging, object recognition, GPS-denied navigation, and data fusion for drones and military vehicles, delivering real-time tactical capabilities in compact mobile systems. PLATO's design builds directly on the foundation of Gemini-II. To accelerate time-to-market, we are acquiring building block IP that allows us to focus on differentiation rather than reinventing core components.

Speaker #5: Early versions of the chip . There involvement would also support the development of software libraries and APIs , ensuring that Plato becomes a versatile , scalable solution across multiple markets , starting with defense and military and defense applications .

Speaker #5: The Apu's high performance and low power capabilities provide unique advantages . And Plato will further enhance critical functions such as SAR imaging , object recognition , GPS denied navigation and data fusion for drones and military vehicles , delivering real time tactical capabilities in compact mobile systems .

Speaker #5: Plato design builds directly on the foundation of Gemini II to accelerate time to market. We are acquiring building block IP that allows us to focus on differentiation rather than reinventing core components.

Speaker #5: Strategic partners would play a critical role , not just in meeting our ambitious timeline , but in shaping the chips capabilities , validating its performance in real world applications , and guiding future enhancements .

Lee-Lean Shu: Strategic partners would play a critical role not just in meeting our ambitious timeline, but in shaping the chip's capabilities, validating its performance in real-world applications, and guiding future enhancements. Their technical collaboration and early adoption would position us to deliver a highly optimized, field-tested solution, strengthening our long-term leadership in specialized AI compute architectures. Beyond the immediate financial support. Lastly, a comment on our SBIR work. We recently received a $751,000 extension of one of our Space Development Agency contracts, which includes additional funding for radiation-hardened beam testing of Gemini-II. The goal of this testing is to evaluate the robustness of a current Gemini-II commercial chip for possible use in satellite and other aerospace applications. While it's too early to confirm specific designations, we see this as a significant opportunity. Let me now switch to the second quarter's customer and product breakdown.

Speaker #5: Their technical collaboration and early adoption would position us to deliver a highly optimized , field tested solution , strengthening our long term leadership in specialized AI compute architectures well beyond the immediate financial support .

Speaker #5: And lastly , a comment on our SBIR work . We recently received a $751,000 extension of one of our space Development Agency contracts , which includes additional funding for radiation hardened , beam testing of Gemini two .

Speaker #5: The goal of this testing is to evaluate the robustness of the current Gemini two commercial chip for possible use in satellite and other aerospace applications .

Speaker #5: While it's too early to confirm specific designations, we see this as a significant opportunity. Let me now switch to the second quarter's commercial.

Speaker #5: I'm sorry , customer and product breakdown by revenue . I am referring to net revenue in the following comments . In the second quarter of fiscal 2026 , sales to KYC were 802,000 , or 12.5% of revenues , compared to 650,000 or 14.3% of revenues in the same period a year ago .

Lee-Lean Shu: By revenue, I am referring to net revenue in the following comments. In the second quarter of fiscal 2026, sales to KYEC were $802,000, or 12.5% of revenues, compared to $650,000, or 14.3% of revenues in the same period a year ago, and $267,000, or 4.3% of revenues in the prior quarter. Sales to Nokia were $200,000, or 3.1% of revenues, compared to $812,000, or 17.8% in the same period a year ago, and $536,000, or 8.5% of revenues in the prior quarter. Sales to Cadence Design Systems were $1.4 million, or 21.6% of net revenues, compared to zero in the same period last year and $1.5 million, or 23.9% of revenues in the prior quarter. Military defense sales were 28.9% of second quarter shipments, compared to 40.2% of shipments in the comparable period a year ago, and 19.1% of shipments in the prior quarter.

Speaker #5: And 267,000 , or 4.3% of revenues in the prior quarter . Sales to Nokia were 200,000 , or 3.1% of revenues , compared to 812,000 or 17.8% in the same period a year ago .

Speaker #5: And 536,000 , or 8.5% of revenues in the prior quarter . Sales to Cadence Design Systems were 1.4 million , or 21.6% of net revenues , compared to zero in the same period last year , and 1.5 million , or 23.9% of revenues in the prior quarter .

Speaker #5: Military defense sales were 28.9% of second quarter shipments, compared to 40.2% of shipments in the comparable period a year ago, and 19.1% of shipments in the prior quarter.

Speaker #5: Sales were 50.1% of second quarter shipments in fiscal 2026 , compared to 38.6% in second quarter fiscal 2025 and 62.5% in the prior quarter .

Lee-Lean Shu: SigmaQuad sales were 50.1% of second quarter shipments in fiscal 2026, compared to 38.6% in second quarter fiscal 2025 and 62.5% in the prior quarter. I'd now like to hand the call over to Doug. Please go ahead, Doug. Thank you, Didier. The company reported net revenues of $6.4 million for the second quarter of fiscal 2026, compared to $4.6 million for the second quarter of fiscal 2025 and $6.3 million for the first quarter of fiscal 2026. Revenue growth in the quarter was driven by strong market momentum for leading SRAM solutions. Gross margin was 54.8% in the second quarter of fiscal 2026, compared to 38.6% in the year-ago quarter and 58.1% in the preceding first quarter of fiscal 2026. The decrease in gross margin for the second quarter of 2026 was primarily due to a change in the product mix.

Speaker #5: I'd now like to hand the call over to Doug . Please go ahead , Doug .

Speaker #6: Thank you . DDA , the company reported net revenues of $6.4 million for the second quarter of fiscal 2026 , compared to $4.6 million for the second quarter of fiscal 2025 and $6.3 million for the for the first quarter of fiscal 2026 .

Speaker #6: Revenue growth in the quarter was driven by strong market momentum for leading solutions. Gross margin was 54.8% in the second quarter of fiscal 2026, compared to 38.6% in the year-ago quarter and 58.1% in the preceding first quarter of fiscal 2026.

Speaker #6: The decrease in gross margin for the second quarter of 2026 was primarily due to a change in the product mix. Total operating expenses in the second quarter of fiscal 2026 were $6.7 million, compared to $7.3 million in the second quarter of fiscal 2025 and $5.8 million in the prior quarter.

Lee-Lean Shu: Total operating expenses in the second quarter of fiscal 2026 were $6.7 million, compared to $7.3 million in the second quarter of fiscal 2025 and $5.8 million in the prior quarter. Research and development expenses were $3.8 million, compared to $4.8 million in the prior year period and $3.1 million in the prior quarter. The increase in research and development spending compared to the prior quarter is primarily due to changes in the level of stock-based compensation expense and amounts of government funding received under SBIR programs in each quarter, recorded as an offset to research and development expense. Selling, general, and administrative expenses were $3 million in the quarter ended September 30, 2025, compared to $2.6 million in the prior year quarter and $2.7 million in the previous quarter.

Speaker #6: Research and development expenses were $3.8 million , compared to $4.8 million in the prior year period and $3.1 million in the prior quarter .

Speaker #6: The increase in research and development spending compared to the prior quarter is primarily due to changes in the level of stock based compensation expense and amounts of government funding received under SBIR in each quarter , recorded as an offset to research and development expense .

Speaker #6: Selling , general and administrative expenses were $3 million in the the quarter ended September 30th , 20 , 2025 , compared to $2.6 million in the prior year quarter and $2.7 million in the previous quarter .

Speaker #6: Second quarter of fiscal 2026 operating loss was $3.2 million, compared to an operating loss of $5.6 million in the prior year period.

Lee-Lean Shu: Second quarter of fiscal 2026 operating loss was $3.2 million, compared to an operating loss of $5.6 million in the prior year period and an operating loss of $2.2 million in the prior quarter. Second quarter fiscal 2026 net loss included interest and other income of $43,000 and a tax provision of $41,000, compared to $149,000 in interest and other income and a tax provision of $23,000 for the same period a year ago. In the preceding first quarter, net loss included interest and other income of $13,000 and a tax provision of $54,000. Net loss in the second quarter of fiscal 2026 was $3.2 million, or $0.11 per diluted share, compared to a net loss of $2.2 million, or $0.08 per diluted share for the first quarter of fiscal 2026. For the prior year second fiscal quarter of 2025, net loss was $5.5 million, or $0.21 per diluted share.

Speaker #6: And an operating loss of $2.2 million in the prior quarter . Second quarter fiscal 2026 net loss included interest and other income of $43,000 and a tax provision of $41,000 , compared to $149,000 in interest and other income and a tax provision of $23,000 for the same period a year ago .

Speaker #6: In the preceding first quarter net loss included interest and other income of $13,000 and a tax provision of $54,000 . Net loss . In the second quarter of fiscal 2026 was $3.2 million , or $0.11 per diluted share , compared to a net loss of $2.2 million , or $0.08 per diluted share , for the for the first quarter of fiscal 2026 .

Speaker #6: For the prior year , second fiscal quarter of 2025 . Net loss was $5.5 million , or $0.21 per diluted share . Total second quarter pre-tax stock based compensation expense was $856,000 , compared to $663,000 in the comparable quarter a year ago .

Lee-Lean Shu: Total second quarter pre-tax stock-based compensation expense was $856,000, compared to $663,000 in the comparable quarter a year ago and $341,000 in the prior quarter. At September 30, 2025, the company had $25.3 million in cash and cash equivalents, compared to $13.4 million at March 31, 2025. Working capital was $26.8 million as of September 30, 2025, versus $16.4 million at March 31, 2025. Stockholders' equity as of September 30, 2025, was $38.6 million, compared to $28.2 million as of the fiscal year ended March 31, 2025. Lastly, for the third quarter of fiscal 2026, we expect net revenues in the range of $6.0 million to $6.8 million, with gross margin of approximately 54% to 56%. We remain focused on disciplined execution to bring Gemini-II to market, advance our roadmap for PLATO, and drive long-term shareholder value. Operator, at this point, we'll open the call to Q&A. Thank you.

Speaker #6: And $341,000 in the prior quarter at September 30th , 2025 , the company had $25.3 million in cash and cash equivalents , compared to $13.4 million at March 31st , 2025 .

Speaker #6: Working capital was $26.8 million as of September 30th , 2025 , versus $16.4 million at March 31st , 2025 . Stockholders equity . As of September 30th , 2025 was $38.6 million , compared to $28.2 million as of the fiscal year ended March 31st , 2025 .

Speaker #6: Lastly , for the third quarter of fiscal 2026 , we expect net revenues in the range of 6.0 million to $6.8 million , with gross margin of approximately 54% to 56% .

Speaker #6: We remain focused on disciplined execution to bring Gemini two to market advance our roadmap for Plato , and drive long term shareholder value .

Speaker #6: Operator . At this point , we'll open the call to Q&A .

Speaker #3: Thank you. We will now be conducting a question and answer session. If you would like to ask a question, please press star one on your telephone keypad.

Lee-Lean Shu: We will now be conducting a question-and-answer session. If you would like to ask a question, please press Star 1 on your telephone keypad. A confirmation tone will indicate your line is in the question queue. You may press Star 2 if you would like to withdraw your question from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the Star keys. Our first question comes from Robert Christian, private investor. You may proceed with your question. First of all, I'd like to congratulate you on the Cornell verification. I'd also like to know, have you done any work with the auto industry on autonomous vehicles? We have not yet. As we've talked about in past calls, we certainly have limited resources, and that takes tremendous effort for that market space.

Speaker #3: A confirmation tone will indicate your line is in the question queue . You may press star two . If you would like to withdraw your question from the queue for participants using speaker equipment , it may be necessary to pick up your handset before pressing the star keys .

Speaker #3: Our first question comes from Robert Christian , private investor . You may proceed with your question . .

Speaker #7: I'd like to congratulate you on the Cornell verification , but I'd also like to know , have you done any work with the auto industry on autonomous vehicles ?

Speaker #5: We have not yet . So as we've talked about , you know , in the past calls , we certainly have limited resources .

Speaker #5: And that takes a tremendous effort for that market space . So we're currently starting in the military defense arena . But we certainly , you know , believe our technology will adapt well in those areas .

Lee-Lean Shu: We're currently starting in the military defense arena, but we certainly believe our technology will adapt well in those areas. That's certainly a focus for us in the future, but not yet. Okay. Thank you. Our next question comes from Mark Badner, private investor. You may proceed with your question. Hey, guys. Good afternoon. I had a question on the $50 million placement you recently did. Was that with a strategic investor? What sort of investor? Was there a holding period to that stock? No, it was just someone that was interested in the company, wasn't strategic in any way. There is no required holding period for the shares. Got it. Okay. Just follow up to that, have there been any strategic circling at all post the Cornell report? Can you repeat the question, please?

Speaker #5: And so that's certainly a focus for us in the future . But not not yet .

Speaker #7: Okay . Thank you .

Speaker #3: Our next question comes from Mark Bodnar . Private investor . You may proceed with your question .

Speaker #8: Hey , guys . Good afternoon . I have a question on the 50 million placement . You recently did . Was that with a strategic investor ?

Speaker #8: What sort of investor ? And was there a holding period to that , to that stock ?

Speaker #6: No , it was just someone that was interested in the company . Wasn't wasn't strategic in any way . And there is there is no required holding period for the shares .

Speaker #8: Got it . Okay . And then just a follow up to that were there , have there been any strategic circling at all ?

Speaker #8: Now post the Cornell report .

Speaker #6: Can you repeat the question please .

Speaker #8: Have there been any inquiries from more strategic investors ? You know , since the report came out from Cornell ?

Lee-Lean Shu: Have there been any increase from more strategic investors since the report came out from Cornell? There are things that we're looking at and parties that we're talking to. I wouldn't say that there's anything that anyone that we haven't already considered working with at this time. As Didier said, we have limited resources, and I think we have some very significant opportunities that he's already mentioned. Gotcha. Okay. Thank you. Our next question comes from David Zalkowitz with ISQ. You may proceed with your question. Yeah. Is there any plan to have Cornell or another third party validate the Gemini-II information? Technology. I know the Cornell report was Gemini-I. Is there a plan to do that similar type of analysis for Gemini-II? Yeah. You're absolutely correct. Cornell actually received this Gemini-I board many years ago, and they've actually written a few other papers.

Speaker #6: There are things that that we're looking at and parties that we're talking to . But I wouldn't say that there's anything anyone that we haven't already considered working with at this time .

Speaker #6: As I said , we have limited resources . And I think we have some very significant opportunities that he's already mentioned .

Speaker #8: Gotcha . Okay . Thank you .

Speaker #3: Our next question comes from David Zelkowitz with esque . You may proceed with your question .

Speaker #9: Yeah . Is there any plan to have Cornell or another third party validate the Gemini two information ? No technology . I know the Cornell report was Gemini one .

Speaker #9: So is there a plan to to do this similar type of analysis or Gemini two ?

Speaker #5: Yeah . So you're absolutely correct , Cornell . Actually received this Gemini one board . Many years ago . And they've actually written a few other papers .

Speaker #5: And so this was a continuation of that original board . And we are talking to them about getting a Gemini two board to them , and also other researchers as well .

Lee-Lean Shu: This was a continuation of that original board. We are talking to them about getting a Gemini-II board to them and also other researchers as well. Thank you. I guess you're working with the military. I didn't see anybody on the board or Senior Management Team that has real military defense experience. Is there any plans to beef up that area of the management or the Board of Directors in order to target those applications? No, that hasn't come up as a discussion or topic on the board. At this point, there are no plans to revise the board. It doesn't mean that we won't in the future if it makes sense, though. I saw you're developing your own large language model, which you're going to release some information on at the end of the year.

Speaker #9: Okay . Thanks . Okay . And then I guess you're talking , you're working with the military . I guess I didn't see anybody on the board or senior management team .

Speaker #9: That was real military defense experience. Are there any plans to beef up that area of management or the board of directors in order to target those applications?

Speaker #6: Yeah , no , that hasn't come up as a discussion or topic on the board at this point . There are no plans to to , you know , revise the board .

Speaker #6: It doesn't mean that we won't in the future if it makes sense , though .

Speaker #9: Okay . And then I saw your developing your own large language model , which you're going to release some information on at the end of the year .

Speaker #9: Just curious of why you wouldn't just use the plethora of large language models that are already out in the market and why spend resources developing your own ?

Lee-Lean Shu: Just curious why you wouldn't just use the plethora of large language models that are already out in the market and why spend resources developing your own. No, we are not developing our own large language model. We are working on the open-source large language model like Gemma 3. I'm just reading your press release. The press release says, "Currently developing a multi-model LLM that targets edge applications." Correct. Gemma 312B, that's the model. We're developing our algorithms to work with that model. Why would you do that as opposed to utilizing other LLMs that are already developed? In this case, it was the definition from the proof-of-concept that we're working on. As we talked about, there are two government entities that have approached us and a partner to do a proof-of-concept, and that is the model that they requested.

Speaker #4: No , we are not developing our own large language model . We are working on the open source large language model like , you know , gamma , gamma three .

Speaker #4: So .

Speaker #9: I'm just reading a press release . Press release says currently developing a multi model LLM that targets edge applications .

Speaker #5: Correct . Yeah . For for Gemma . So 12 . So Gemma . 312 B that's the model . And we're developing our algorithms to work with that model .

Speaker #9: Okay . And why why would you do that as opposed to utilizing other llms that are already developed . .

Speaker #5: In this case it was the definition from the POC that we're working on . So as we talked about , there are there are two government entities that have approached us and a partner to do a POC , and that is the model that they requested .

Speaker #4: Yeah . Also there are certain aspects of the model which support a multi-model multi-model . Well , okay . So you know , they can support the image very well .

Lee-Lean Shu: Also, there are certain aspects of the model which support multimodal. They can support the imagery very well in addition to the text. That's why they pick on this one. Thank you. Appreciate it. Our next question comes from Christian Rugg from CER Holdings. You may proceed with your question. I was wondering how are you differentiating your APU technology versus GPU competitors in terms of power, latency, and cost efficiency? That's a pretty broad question. If you look at the Cornell paper, that certainly hits on the power. The comparison was to an NVIDIA GPU. The use case they used, the performances were on par, but we were 98% less power. That certainly shows that. With the SAR algorithm that we've been talking about, certainly, our image creation time is faster at a lower power footprint as well.

Speaker #4: And in addition to the text . So that's why they pick on this one .

Speaker #9: Okay. Thank you. I appreciate it.

Speaker #3: Our next question comes from Christian Rug from Seia Holdings . You may proceed with your question .

Speaker #10: Hi I was wondering how are you differentiating your Apu versus GPU competitors in terms of power , latency and cost efficiency ?

Speaker #11: That's a pretty broad .

Speaker #5: Question . And so if you look at the the Cornell paper that that certainly hits it on the power , you know , the comparison was to to an Nvidia GPU and the the use case , they use the performances were on par , but we were 98% less power .

Speaker #5: So that certainly shows that with the SA algorithm that we've been talking about , certainly our image creation time is faster at a lower power footprint as well .

Speaker #5: So what we've done is we've done benchmarking on on certain use cases based off of input from customers on what they'd like to see .

Lee-Lean Shu: What we've done is we've done benchmarking on certain use cases based off of input from customers on what they'd like to see. There are times where we beat them strictly on power. There are times we beat them strictly on performance. I shouldn't say that. We've never lost to them on power, but there certainly are times that we have the advantage in both performance and lower power. Okay. My second question is, given the performance claims and potential of Gemini-II APU, have you had any engagement or partnership discussions with larger semiconductor or AI-focused companies? Right now, we're focused on the customers at this point. We haven't had any discussions, at least recently, with other semiconductor companies. Okay. My last question is, how does the power factor play into building AI data centers at a large scale?

Speaker #5: So there are times where we beat them strictly on power . There's times we beat them strictly on performance . Well , I shouldn't say that .

Speaker #5: We've never lost to them on power , but there's certainly are are times that , you know , we have the advantage on both performance and and lower power .

Speaker #10: Okay . And then my second question is , given the performance claims and potential of Gemini two , Apu , have you had any engagement or partnership discussions with larger semiconductor or AI focused companies ?

Speaker #5: So, right now we're focused on the customers at this point. We haven't had any discussions, at least recently, with other semiconductor companies.

Speaker #10: Okay . And then my last question is how does the power factor play into building AI data centers at a large scale ?

Speaker #5: So we're focused on the edge right now . And so everything we've talked about right now is the edge . And so certainly the data centers have a real power issue as well .

Lee-Lean Shu: We're focused on the edge right now, and so everything we've talked about right now is the edge. Certainly, the data centers have a real power issue as well. There's no secret there. What we've been focused on right now with Gemini-II and certainly with the next-generation chip, PLATO, will be at the edge. If you look at, as we discussed with Gemini-II, this project we did with this offshore defense contractor, we limited our chip to one of the four cores that are there to get it down to 15 watts. If you look at PLATO, depending on how it's used, it can be as little as 4 watts and maximum 12 to 15 watts. We're really focused at the edge, not in the data center. Okay. All right. Thank you. Our next question comes from Michael Roberts from Roberts Capital. You may proceed with your question. Okay.

Speaker #5: There's no there's no secret there . But what we've been focused on right now with Gemini two , and certainly with the next generation Chip Plato will be at the edge .

Speaker #5: And so , you know , if you look at , you know , as we discussed with Gemini two , this , this project we did with this offshore defense contractor , we we limited we limited our chip to one of the four cores that are there to get it down to 15W .

Speaker #5: If you look at Plato, depending on how it's used, it can be as little as four watts and a maximum of 12 to 15 watts.

Speaker #5: So we're really focused at the at the edge , not in the data center .

Speaker #10: All right . Thank you .

Speaker #3: Our next question comes from Michael Roberts from Roberts Capital . You may proceed with your question . Okay . It seems Michael has gone silent .

Lee-Lean Shu: It seems Michael has gone silent. We'll move on to the next questioner. Michael Cooper, private investor. You may proceed with your question. Good afternoon. Can you talk about the total addressable market that you're looking at over the next five years and then how you expect that to ramp? I'm guessing you have a number of different scenarios, maybe a range of scenarios. You could give us a sense for how large this market is or these markets. I'm sure you're looking at various markets. What kind of price points your boards or chips go into products currently? Sure. It's a good question. Michael, I don't have the numbers in front of me, but certainly, there was a report very recently that was issued by one of the research analysts at Needham & Company that discussed the drill market specifically.

Speaker #3: We will move on to the next questioner, Michael Cooper, private investor. You may proceed with your question.

Speaker #12: Good afternoon . Can you talk about the total addressable market that you're looking at over the next five years ? And then how you expect that to ramp ?

Speaker #12: I'm guessing you have a number of different scenarios , maybe a range of scenarios . You could give us a for how large this market is or these markets .

Speaker #12: I'm sure you're looking at various markets . And then what kind of price points you're boards or chips go into products .

Speaker #5: Currently . So good question . I so Michael I don't have the numbers in front of me , but certainly

Speaker #5: was a report very recently that was issued by one of the researcher analysts at Needham and Company that discussed the drone market specifically , and I don't have it in front of me , but I want to say it was it was either it was tens of billions , at least market size .

Lee-Lean Shu: I don't have it in front of me, but I want to say it was tens of billions, at least, market size. I want to say it might be larger than that. It is a very, very large market. As we've discussed, we certainly feel with the power profile of our chips along with some of the algorithm work that we're doing for, like Lee-Lean mentioned, the multimodal inputs, whether we take an image or text or voice in the future, along with the time-to-first-token advantage that we have, we certainly think that we're well-positioned to address that market. That was question one. The second question was, I think it was a two-part question you had. Pricing. Pricing, that's what it was. Pricing, I mean, we'll give you generalities.

Speaker #5: I want to say it might be larger than that . And so certainly it's it's a very , very large market . And , and as we've discussed , we certainly feel with the power , you know , the power profile of our chips , along with some of the algorithm work that we're doing for , you know , like Lily mentioned , the multimodal inputs , whether we take an image or text or voice in the future , along with the time to first token advantage that we have , we certainly think that we're well positioned to address that market .

Speaker #5: That was question one. What was the second question? I think it was a question.

Speaker #13: You had .

Speaker #5: Pricing . That's . Yeah . So so certainly , you know , it's going to be priced differently by market , but it could be , you know , you know a few thousand dollars a board to $10,000 a board that contains the chip and then the chip , you know , will sell based again based on , on the market .

Lee-Lean Shu: It is going to be priced differently by market, but it could be a few thousand dollars a board to $10,000 a board that contains the chip. The chip will sell, again, based on the market, but the chip could be $1,000 or more depending on the market and the volume. You're working in gross margins in the 80% range? What were your gross margins? Certainly, it's going to be, yeah, it'll be above where we are corporately today. Again, it really depends on the market and how it's sold. It could be 60% to 80%. It really depends on how it's sold, whether it's in a board, in a server, whether it comes with software or not. There are a lot of different aspects that would move that margin needle. Thank you. Our next question comes from Michael Roberts with Roberts Capital, who is rejoining us.

Speaker #5: But , you know , the chip could be , you know , $1,000 or more , depending on the market in the volume .

Speaker #12: And you're working in gross margins in the 80% range .

Speaker #5: You know .

Speaker #12: It's your gross margins .

Speaker #13: Will be .

Speaker #11: Yeah, it'll be above where we...

Speaker #5: Are today . And again , it really depends on the market and how it's sold . It could be , you know , it could be 60% to 80% .

Speaker #5: It really depends on on how it's sold , whether it's in a board in a server , whether it comes with software or not .

Speaker #5: I mean , there's a lot of different aspects that would move that margin needle . .

Speaker #12: Great .

Speaker #13: Thank you .

Speaker #3: Our next question comes from Michael Roberts with Roberts Capital , who is rejoining us . You may proceed with your question .

Lee-Lean Shu: You may proceed with your question. Thank you. On capital deployment on the $50 million raise, can you give an idea of how that plans to be allocated, whether it's percentage or dollar amount, amongst the Gemini-II completion, software development, and the new PLATO chip that you referenced? On the PLATO, because there's some fixed costs that we have to spend, like IP costs and the mask table costs, those are $15 million, $16 million, $17 million kind of range. The rest of them, I think they're probably pretty even between the Gemini-II and the PLATO. That's mostly engineering costs, the internal costs, and it will be distributed even inside the company. Evenly across. Okay. Thank you. In terms of then, based on your cash runway now, what revenue or gross margin level do you expect to reach operating break-even then?

Speaker #14: Thank you . Anna . Capital deployment on the 50 million raise . Do you can you give an idea of how that plans to be allocated , whether it's percentage or dollar amount amongst the Gemini two completion software and the new potato chip that you referenced .

Speaker #14: development Evenly across . Okay . Thank you . And in terms of then based on your cash runway now what revenue or gross margin level do you expect to reach operating breakeven then ?

Speaker #4: Yeah . On the on the predator because there's some fixed cost . We have to spend like . It costs and the math table calls .

Speaker #4: So those are , you know , fixed 15 , 16 to 1516 , $17 million kind of range . Okay . And the rest of them , I think that probably pretty even in

Speaker #4: that's mostly engineering cost . You know , the internal cost . And it will be , you know , distributed even in the inside .

Speaker #4: The company .

Speaker #6: You know , if you can assume a . I don't know , 65 to 70% gross margin once we get into this . .

Lee-Lean Shu: If you can assume, I don't know, 65% or 70% gross margin once we get into this. It's something that I need to take a look at. We're still putting our plans together in terms of hiring levels and so on. SOC teams or whoever we need for the chip development, the additional software teams that we need for the software development. I don't have all those numbers yet to do a calculation. Understood. Are there concrete milestones and dates then for the Gemini-II in terms of expectation of pilot shipments or expected initial production orders? Yeah. We will be doing some pilot shipments. We've done a couple already, or we plan on doing more in the first half of 2026 calendar.

Speaker #14: Right .

Speaker #6: It's something that I need to take a look at. You know, we're still putting our plans together in terms of hiring levels and so on.

Speaker #6: You know , SOC teams or whoever we need for for the chip development . The additional software teams need for the software development , I don't have all those numbers yet to do a calculation .

Speaker #14: Understood . But are there concrete milestones and dates then for the Gemini two , in terms of expectation of pilot shipments or expected , initial production orders ?

Speaker #11: Yeah . So we we will be doing some .

Speaker #5: Some pilot shipments . We we've done a couple already where we plan on doing more in the first half of 2026 . Calendar .

Speaker #5: You know , this POC that that , you know , hopefully we'll be able to discuss a lot more in the upcoming months depending on the the the schedules on that could give more substantial revenues in the back half of calendar 2026 .

Lee-Lean Shu: This POC that hopefully we'll be able to discuss a lot more in the upcoming months, depending on the schedules on that, could give more substantial revenues in the back half of calendar 2026. Noted. From the current evaluation customers now, has any purchase orders or letters of intent been provided yet? I'm sorry. Could you repeat the question? Yeah. Have any of the evaluation customers provided any purchase orders or letters of intent yet against that production? They're still in their evaluation at this point. As we talked about, the board that we sent along with the software to this offshore defense contractor, they have done a review, and they've put us as what's called good acceptance in their system, which means it's passed and been accepted. Now we're going through the possible use cases. They have a couple of different divisions.

Speaker #14: Noted . And from the current evaluation , customers , now has any purchase orders or letters of intent been provided yet ?

Speaker #5: I'm sorry ,

Speaker #5: still in their evaluation at this point . Yeah . So as we talked about , you , the that we board that we sent along with the software to this offshore defense contractor , they have done a review and they've put us as what's called good acceptance in their system , which means it has passed and been been accepted .

Speaker #5: And so now we're going through the possible use cases . They have a couple different divisions . Two of them we think will be a good fit .

Lee-Lean Shu: Two of them, we think, will be a good fit. One, obviously, is a SAR division. The other one is what they call their AI division. We're looking for practical applications that can then, like you say, turn into design wins and revenue. We're doing that with the customer today. All right. Very helpful. One last question, then I'll let others proceed. Can you elaborate on that software stack maturity then, the compiler SDK model porting tools, and when developers outside of GSI will have access? Kind of going towards an ecosystem adoption of what we have. No, for the Gemini-II, right now, we are developing the library and the algorithm. After that, we will move on to the tool and the compiler work. Okay. We are developing this with the partner and the customer we have. All right. Understood. Thank you very much. Thanks, Michael.

Speaker #5: One , obviously , is the SA division . The other one is what they call their AI division . And so we're looking for , you know , for practical applications that can then , like you say , turn into design , win and revenue .

Speaker #5: So that's we're doing that that with the customer today .

Speaker #14: All right. Very helpful. And one last question, then I'll let others proceed. Can you elaborate on that software stack maturity?

Speaker #14: Then the compiler SDK model porting tools . And when developers outside of GSI will have access . Kind of going towards any ecosystem adoption of what we have .

Speaker #4: Now for the Gemini tool , we are right now , we are developing the library and then the and algorithm . Now after that , we will move on to the tool and and compiler work .

Speaker #4: Okay. And we are developing this with the customer. You know, the partner and the customer. We have.

Speaker #14: All right . Understood . Thank you very much .

Speaker #5: Thanks , Michael .

Speaker #3: Our next question comes from Robert Christian, private investor. You may proceed with your question.

Lee-Lean Shu: Our next question comes from Robert Christian, private investor. You may proceed with your question. Yeah. Can you help me understand why the company is not going after data centers in view of the environment impact with energy consumption and cooling? It seems like we're leaving a lot of money on the table, even if it was just licensed so others could use the technology. I'm not sure how long you've been following the company, but we had talked about another potential roadmap product at the time we were calling it Gemini-III. That was going to be geared towards the data center. That one needed a different kind of partner, and it needed a lot more funding. It would have required a very aggressive process node and would have been much more expensive. We were going down that road. It was targeted for the data center.

Speaker #7: Yeah . Can you help me understand why the company is not going after data centers and view of the environment impact with energy consumption and cooling , it seems like we're leaving a lot of money on the table .

Speaker #7: Even if it was just licensed so others could use the technology .

Speaker #5: So I'm not sure how long you've been following the company , but we had talked about another potential roadmap product at the time we were calling it Gemini three , and that was going to be geared towards the data center .

Speaker #5: And that one needed a different kind of partner , and it needed a lot more funding . It would have required a very aggressive process node .

Speaker #5: It would have been much more expensive . And so we were going down that road . And again , that was it was targeted for the data center .

Speaker #5: In the meantime , we were getting way too much positive feedback and interest on the edge , and we were getting SBIR dollars .

Lee-Lean Shu: In the meantime, we were getting way too much positive feedback and interest on the edge. We were getting SBIR dollars, and there are other dollars.

Speaker #5: And there are other dollars , you know , research dollars that we've submitted for to try and get . And it's all for the edge .

Douglas Schirle: know, research dollars that we've submitted for to try and get, and it's all for the edge. The decision was made we couldn't do both. It was one or the other at this point. We remained focused on the edge. Not to say, with more influx of cash, we can't beef up the team and go after the data center, but it strategically made sense for us to remain at the edge for now.

Speaker #5: And so , you know , the decision was made , we couldn't do both . It was one or the other at this point .

Speaker #5: And so we remained focused on the edge . Not to say , you know , with more influx of cash , we can't beef up the team and go after the data center .

Speaker #5: But it's strategically made sense for us to , to to remain at the edge for now .

Speaker #7: Okay . But there's not a possibility , say , of Nvidia or a micron to come in and develop the chip and we get a percentage of it .

Operator: Okay. There's not a possibility, say, of NVIDIA or a Micron to come in and develop the chip and we get a percentage of it?

Speaker #5: Oh yeah . I mean , that's certainly that's certainly very possible . I can't say those discussions are happening , but you know , we had had some discussions in the past where that was kind of the model we were looking at .

Douglas Schirle: Oh, it's yeah. I mean, that's certainly very possible. I can't say those discussions are happening, but, you know, we had some discussions in the past where that was kind of the model we were looking at. The answer is yes, we could do that. It's just there's nothing in the hopper right now.

Speaker #5: So the answer is yes , we could do that . It's just there's nothing in the hopper right now .

Speaker #7: Okay . Thank you very much .

Operator: Okay, thank you very much.

Speaker #3: Our next question comes from Marco Petrone with MG capital . You may proceed with your question .

Lee-Lean Shu: Our next question comes from Marco Petroni with MG Capital. You may proceed with your question.

Speaker #15: Yes . You guys just recently raised 47 million nets , and you had 13 million last quarter . And the balance sheet shows only 25 million now .

[Analyst]: Yes. You guys just recently raised $47 million net, and you had $13 million last quarter. The balance sheet shows only $25 million now. I was wondering where that money went, number one. Number two, going forward, what type of capital allocations do you need to build out the software team to do all this other stuff that we've been talking about?

Speaker #15: So I was wondering where that money went . Number one . And number two going forward , what type of capital allocations do you need for to build out the software team to do all this other stuff that we've been talking about ?

Speaker #6: Well , the first answer is that that , that transaction closed after the balance sheet date . It was in October . Transaction in the $27 million that you see is as of September 30th .

Douglas Schirle: The first answer is that transaction closed after the balance sheet date. It was an October transaction, and the $27 million that you see is as of September 30th. In terms of the capital allocation, I think we answered a previous question where we're looking at some IP and other stuff that we need to purchase for PLATO. We expect to split funding between software development and PLATO development.

Speaker #6: And then in terms of capital allocation , I think we answered a previous question where we're looking at some IP and other stuff that we need to purchase .

Speaker #6: For Plato , and then we expect to split funding between software development and Plato development .

Speaker #15: So how much cash do you have on hand currently ?

[Analyst]: How much cash do you have on hand currently?

Speaker #6: Well , take 27 million or 23 million . I'm sorry , 25 million balance sheet date . Plus we got another 47 million .

Douglas Schirle: Take $27 million or $23 million, I'm sorry, $25 million balance sheet date, plus we got another $47 million. That should give you a reasonable estimate.

Speaker #6: And so that should give you a reasonable estimate .

Speaker #15: All right . Thank you .

[Analyst]: All right. Thank you.

Speaker #3: Our next question comes from Mohammed al-Sisi from scale . You can proceed with your question .

Lee-Lean Shu: Our next question comes from Mohammed Al-Sosi from Scale. You can proceed with your question.

Speaker #16: Hello ?

[Analyst]: Hello?

Speaker #5: Hello . Yes .

Douglas Schirle: Hello? Yes.

Speaker #16: Hello . We can hear you . I want to know if . Yes , I just want to know if you have attracted any interest from any potential new customers after the Cornell study on Apu performance .

[Analyst]: Hello?

Douglas Schirle: Yes.

[Analyst]: We can hear you. I want to know if,

Douglas Schirle: You can hear me.

[Analyst]: Yes. I just wanna know if you have attracted any interest from any potential new customers after the Cornell study on APU performance?

Speaker #5: I'm sorry . Just to be clear , are you asking if we've gotten any more customer traction because of the Cornell paper ? Is that the question ?

Douglas Schirle: I'm sorry. Just to be clear, are you asking if we've gotten any more customer traction because of the Cornell paper? That's the question?

Speaker #16: No . I want to know if he if you attract more interest or potential new customers after the new kernel study on Apu performance .

[Analyst]: I want to know if you attract more interest or potential new customers after the new Cornell study on APU performance.

Speaker #5: Okay , I think that's what I just said . Okay , so so the answer is the customers we've been talking to , we've been talking about this low power advantage for some time , and we've done benchmarks on several applications with some of our customers .

Douglas Schirle: I think that's what I just said. The answer is the customers we've been talking to, we've been talking about this low-power advantage for some time. We've done benchmarks on several applications with some of our customers, and so they're aware of that. In that respect, it's not a surprise to our customers we've been talking to that we have this low-power advantage. This just illustrated it for the rest of the public as a third-party validation of what we've been saying.

Speaker #5: And so they're aware of that . And so in that respect , you know , it's not it's not a surprise to our customers .

Speaker #5: We've been talking to that . We have this low power advantage , you know , this just illustrated it for the for the rest of the public as a , as a third party validation of what we've been saying .

Speaker #16: Okay .

[Analyst]: Okay.

Speaker #3: This now concludes our question and answer session . I would like to turn the floor back over to Mr. Lee-Lean Shu for closing comments .

Lee-Lean Shu: This now concludes our question and answer session. I would like to turn the floor back over to Mr. Lee-Lean Shu for closing comments.

Speaker #4: We look forward to seeing you at this event . And . And your party in the third quarter fiscal 2020 earnings call . Thank you .

[Company Representative]: We look forward to seeing you at this event and your participation in the Q3 FY2026 earnings call. Thank you.

Speaker #3: Ladies and gentlemen , this concludes our conference for today . Thank you for your participation . You may disconnect your lines and have a wonderful day .

Lee-Lean Shu: Ladies and gentlemen, this concludes our conference for today. Thank you for your participation. You may disconnect your lines and have a wonderful day.