to GSI Technology's first quarter and fiscal year 2027 results conference call. At this time, all participants are in a listen-only mode. Following management's prepared remarks, we will conduct a question and answer session. At that time, we will provide instructions for those interested in joining the Q&A queue. Before we begin today's call, GSI Technology has requested that I read the following safe harbor statement. The matters discussed in this conference call 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. 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 call is being recorded today, July 30, 2026, at the request of GSI technology. Li-Lin Xu, the company's chairman, president, and chief executive officer, will be hosting the call today. With him are Douglas Shirley, chief financial officer, and Didier Lacer, vice president of sales. I would now like to turn the conference over to Mr. Xu. Please go ahead, sir.

Thank you for joining us. I would like to begin by talking about where GSI is today and where we are headed. Ilya will get into the details, but let me start with my view of the business. Over the past several years, we have worked hard to move GSI from an excellent chip company into an edge AI platform company to address a large and growing market for our technology. We feel an important gap in the edge AI market. The additional GPU delivers strong AI performance, too much power for many edge applications. The mobile processor offers lower power, but cannot deliver the AI performance required for many real-time workloads. The APU uses less power than traditional GPUs, who are delivering higher performance than today's mobile processors. This is how APU delivers the performance and low-power usage we set out to achieve. Today, we have a Gemini 2 production chip ready for customers. We are now in the next phase of GSI, turning the APU technology into a business. The first quarter shows discipline execution as we continue advancing our ongoing projects. While pushing ahead with Plato's development, for the next 18 months, our priorities are clear. Successfully completing our current proof-of-a-concept projects, expanding Gemini 2 into adjacent applications, and releasing our AI-assisted SDKs this fall. At the same time, we currently expect to keep pressure on schedule for table in March 2027. I'll turn the call over to DDA, who will provide further detail on this point. Please call DDA.

Thank you, Lilene. As Lilene said, we've reached a pivotal point in the evolution of our APU business. We have a Gemini 2 solution for proof-of-concept projects across a variety of edge AI applications. Our focus has shifted from proving our technology to turning customers into proof-of-concept projects. Ultimately, our goal is to secure design wins that could lead to commercial deployments and meaningful APU revenue. Our near-term strategy is to work closely with a small number of customers and system integrators on proof-of-concept projects and applications that are well-suited to the APU's advantages. Rather than developing a unique solution for every customer, we found that we can adapt the software and development tools created for one application to an adjacent one. This will allow us to expand into new Edge AI applications more quickly and efficiently. We've already demonstrated this by applying many of the capabilities developed for the Sentinel POC to our Smart City project, and we expect to build on that foundation as we pursue new opportunities and other edge AI applications. During the first quarter, we made successful, meaningful progress on our project POCs and SBIRs. Each of these positioned Gemini 2 for broader commercial adoption. I'll begin with Sentinel, which is a good example of our customer adoption strategy. GSI has successfully completed all of its deliverables for the first phase, including providing both the chip and the software. A laboratory test of the Sentinel POC was recently conducted in collaboration with G2 Tech and the participating defense agencies. Sentinel is an application where Gemini 2's performance per watt provide a clear advantage, and the platform's results in the lab test confirm this. with a time-to-first token, also known as TTFT, of 2.4 seconds. Preparation for the field demonstration continues under G2Tech's leadership. We have completed all of GSI's deliverables for this next part of the POC as well. The timing of the field demonstration is now dependent on G2Tech. Turning to our Smart City project in Shinsu County, Taiwan, we continue to meet our Phase 1 deliverables, which means we will soon be shipping the Gemini 2 chips, servers, and software supporting the rollout for 20 cameras. We remain on track to complete the Phase 1 deployment in November. If selected for Phase 2, the project would expand to approximately 80 cameras and would add audio to the video from Phase 1. This next phase would provide both additional hardware and software licensing revenue. The Smart City platform now includes a smart query capability that allows users to search surveillance footage using natural language. For example, an operator can simply ask, did you see a person matching this description yesterday? The system can quickly analyze recorded video, identify relevant events, and locate potential matches without requiring manual review of hours of footage. Switching to our government-funded SBIRs, we're pleased to have launched our U.S. Army Phase II program with a formal kickoff meeting. We have begun preliminary work on developing a ruggedized Gemini II system for Army applications. In another SBIR for the Space Development Agency, we successfully completed radiation testing on a standard commercial Gemini II device with no device optimization for withstanding radiation. In the test, the OptiShelf chip continued to be operational under radiation levels found in harsh space environments. The testing achieved the radiation-tolerant threshold typically required for radiation-hardened application and showed no single-event latch-ups, also known as SELs. The absence of SELs is important because that reduces technical risk for companies evaluating the device and shows that our standard chip may be suitable for some space and high-altitude applications. Before I conclude, I'd like to briefly update you on an important software milestone this fiscal year. In the past, you've heard us mention plans to release an AI compiler. We have expanded on that vision and are developing an AI-assisted SDK, as Lene mentioned. This is expected to significantly accelerate AI model development and the deployment on Gemini 2. The alpha release is currently targeted for this fall. One big advantage found in early testing shows the AI-assisted SDK significantly reduces application development time. In one representative case, adapting an AI model to run on Gemini 2 previously took one engineer about a year. With the AI-assisted SDK, that work was completed in less than a month. This will help us support a broader range of customer applications while enabling us to work with more partners and system integrators. The AI-assisted SDK will also accelerate software development for PLATO by allowing algorithms and models to be ported more quickly, allowing us to bring final applications to the market sooner. To summarize, we're pleased with the progress made in the first quarter on our POCs and SBIRs. Our focus for the remainder of this fiscal year remains on executing our Gemini 2 strategy, specifically completing our current proof-of-concept projects, expanding it to adjacent applications, and completing the software tools needed to support broader commercialization. Together, these initiatives will make Gemini 2 easier to deploy, enabling us to support more customers and, over time, scale our business through system integrators. In parallel, we are heads down on the Play-Doh design and remain on track to tape out an early calendar 2027. With that, I'd like to hand the call over to Doug. Go ahead, Doug.

In the earnings release we issued today after the market closed, you'll find a detailed summary of our first quarter fiscal 2027 financial results. In my comments to follow, I'll focus on the key drivers behind our performance and provide some additional context around the quarter. The first quarter of fiscal year 2027 of $6.3 million was at the midpoint of our guidance range. A lot of the prior quarter ended up modestly from the first quarter of fiscal year 2026. Cash-run revenues remain stable. As is typical in our business, customer demand can vary from quarter to quarter, which can impact both our revenue and gross margin. In the first quarter of fiscal 2027, combined sales to KYEC and Cadence represented approximately 23% of net revenues, compared with the prior quarter in which KYEC represented 22.3% of net revenues, and there are no shipments to continued shipments to customers supporting AI chip design and semiconductor manufacturing. Given the nature of our customer base, order patterns may continue to vary from quarter to quarter. The gross margin for the quarter was 53.4%, although slightly below our guided range of 54% to 56%, gross margin improved 100 basis points sequentially. Compared to the year-ago quarter, gross margin was lower, primarily due to product mix. which could fluctuate based on the timing and composition of customer shipments. Operating expenses for the quarter rose to $8.8 million, compared to $5.8 million in the prior year period. Our operating expenses increased year-over-year, primarily due to costs related to Gemini 2 software and Plato chip development. Research and development expenses were $5.9 million, increasing modestly from the prior quarter, and by $2.8 million compared with the year-ago period. The year-over-year increase primarily reflects our ongoing investment in the development of our next-generation PLATO processor. Some of the increase in R&D also reflects lower SBR funding recognized this quarter compared with the prior year period, as well as a higher software development cost from our Israeli-based team, primarily due to the strengthening of the Israeli shekel relative to the U.S. dollar. Both of these items are variable in nature. SBIR funding is an offset to our development costs related to ongoing SBIR projects and fluctuates from coordinate timing of project milestones and related reimbursements. Support development costs can be affected by movements in the Israeli shekel relative to the U.S. dollar. Expenses increase the operating loss for the first quarter of fiscal 2027 to $5.4 million compared to an operating loss of $2.2 million in the prior year quarter, while remaining relatively flat on a sequential basis. The first quarter net loss included interest and other income of $517,000, primarily from interest payments on the cash balance. Cash flows for the quarter ended June 30, 2026. Cash and cash equivalents as of March 31, 2026 were $67.2 million. Net cash use and operating activities was $3.9 million. Net cash use and investing activities was $300,000. And net cash provided by financing activities was $14 million. Cash and cash equivalents as of June 30th, 2026 were $77 million. Net cash from financing includes $9.3 million in ATM proceeds in the quarter and $4.8 million from employee stock option exercises. Many of these exercises were associated with stock options granted up to approximately 10 years ago that we're nearing expiration, making this an unusually high level of option exercise activity. We continue to expect cash usage to remain at current levels as we complete Gemini 2 software development and advance Play-Doh toward a tape-out. Based on our current operating plan, we anticipate using approximately $4 million of cash per quarter or about $16 million annually, although the timing may vary depending on development milestones and program activity. We ended the quarter with $77 million in cash and no debt. This compares to $67.2 million for the fiscal 2026 year-end ended March 31, 2026. This is a notable improvement from a year-ago first quarter cash balance of $22.7 million and reflects the $46.9 million net of fees from the Registered Direct offering proceeds that closed in October 2025. With no debt and a strengthened cash position, we have confidence that we have the resources to continue investing in our strategic priorities while maintaining a disciplined accreditation or current operating plan. Our existing cash resources provide sufficient runway to complete the Gemini 2 software development, support customer evaluations, and fund the tape out of our next-generation data processor. Before I conclude, I'd like to briefly address a housekeeping item. In the next few months, we expect to file a replacement for our universal shelf registration, restoring its capacity to $100 million. We have no current plans to raise additional capital. Maintaining an effective shelf registration is prudent corporate practice that preserves our financial and strategic flexibility should opportunities arise. As demonstrated last year, having an effective shelf in place allowed us to opportunistically strengthen our balance sheet during a period of strong share price performance. We view maintaining that flexibility as good corporate governance and not as an indication of any change in our current capital plans. Before I hand the call over to the operator for Q&A, I'd like to provide a second quarter fiscal 2027 outlook. For the upcoming second quarter, we expect net revenues in the range of $5.7 million to $6.5 million, with gross margin of approximately 53% to 55%. Operator, at this point, we will open the call to Q&A.

Thank you. 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 remove your question from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys. One moment, please, while we pause for questions. The first question is from David Williams from Needham. Please go ahead.

Good afternoon, everyone. Thanks for taking my questions, and congrats on the success here. You know, it seems like you're making lots of great progress, and you touched on this a little bit during the call, But I'm just kind of curious if you could talk maybe a little bit about how transferable some of the technical work that you've completed for these POC programs, how transferable is that maybe across some of the new applications, and what does that imply maybe for the pace you can expand the POC pipeline without really having to drive increased engineering headcount?

Hi, David. Thank you. Excuse me. Thank you for the question. Yeah, so it's very transferable. One of the key elements that we always allude to with the Sentinel POC is this time, the first token parameter. And that is also important with the smart city, and it's also important in some of these other POCs that we're looking at as well. And so there are other features besides that, you know, that fall under the vision language model that are also transferable. So, yeah, what's nice is when we went from the Sentinel drone POC to the Smart City, you know, it wasn't a complete new haul. We were able to leverage a lot of what we've had in the past, and that will be true for some of these other POCs that we're looking to engage in. Now, that along with the AI-based SDK, that will also dramatically increase the algorithms that we can deploy for these new applications. So, you know, between the leveraging from the last use case to, you know, the additional tools that are coming in fall, yeah, we're looking to be able to leverage, you know, these other markets more quickly. Does that answer your question?

It does. Thanks so much for that. And then maybe secondly, if you don't mind, is just on the system integrator relationships and maybe the timeline to formalizing some of that, How mature do you think the SDK applications and maybe that framework needs to be before the system integrators can employ that Gemini 2 into their environments?

Yeah, that's a good question. And it's going to depend on the market, and it's going to depend on the system integrator. So what our strategy has been is going into a market, a new market, and doing really the work ourselves. We're doing that right now with the drone Sentinel POC. We are doing that, obviously, with the Smart City in Taiwan POC. And as I mentioned, we have a couple others we're looking at. And I'm sure we'll be doing those initial ones ourselves. And the reason for that is to show that the GSI APU solution is strong for all those markets. And once we've proven that, then it's much easier to attract these integrators because, you know, we don't have the manpower internally to go after the slew of different customers in these markets because their solution will be slightly customized and they won't be identical for each. And so it will be critical for us to get these system integrators. And for them to be able to address all the different customers with their slight unique customization, that SDK will be important or the AI-based SDK. So that's why we're working hard on that. And as we discussed, we anticipate having it in fall of this year.

And just one last one here, maybe if I can. Just on the radiation hardening that you've talked about there, what do you think that that means for the aerospace and defense sector? And does that maybe open up over time, maybe a new revenue stream? And maybe just talk about the implications or what that brings to the business.

Yeah, thanks for that question. Absolutely. It will absolutely increase the opportunity for revenue. So if you look at what's happening now, and I'm sure you've read plenty, they're trying to put more and more intelligence and AI into space itself. And historically, GPUs have not fared well under radiation testing and environments. And so there really is a need for an AI-based processor out there. With that said, whether you're talking about, you know, a satellite or some kind of vehicle in space, power is also a real issue. And as we've been discussing, low power is really one of our huge advantages. With the Gemini 2 and PLATO, we'll take that to even an extreme case with 10 watts or less per device. And so having a part that can withstand that radiation will certainly open up a market. and because there's certainly a need for it now. So we've already had discussions with some of our SBIR partners. Mainly, this is why we got the extension on one of the SBIRs to do this testing because they certainly see a need for a device in space that does well under those harsh environments.

Cheat out of the color, and best of luck to you on the quarter.

Thanks for the questions, David.

There are no further questions at this time. I would like to turn the floor back over to Li Lin-Chu for closing comments.

Li Lin-Chu Lin- Thank you again for joining us today and for your continued interest in GSA technology. As a reminder, DDA and I will be attending the CanOco Genuity Growth Conference in Boston on August 12th and the Leiden Visual Semiconductor Conference on August 19th to book a meeting please contact your counter call or leading representative. Our presentation will also be webcast live and available for replay on our website. We appreciate your continued support and look forward to updating you on our progress this quarter. Thank you.

This concludes today's teleconference. You may disconnect your lines at this time. Thank you for your participation.