Good day, and thank you for standing by. Welcome to the Blaze First Quarter 2026 Earnings Conference Call. At this time, all participants are in listen-only mode. After the speaker's presentation, there will be a question and answer session. To ask a question during the session, you will need to press star 11 on your telephone. You will then hear an automated message advising your hand is raised. To draw your question, please press star 1-1 again. Please be advised that today's conference is being recorded. I would now like to hand the conference over to your speaker today, Lana Adair, Investor Relations. Please go ahead.

Before we begin the prepared remarks, we would like to remind you that earlier today, Blaze Holdings, Inc. issued a press release announcing its first quarter 2026 results. Earnings materials are available on the Investor Relations section of Blaze Holding, Inc.'s website. Today's earnings call and press release reflect management's views as of today only and includes statements related to our 2026 financial guidance, revenue, gross margin, competitive position, anticipated industry trends, market opportunities, products, and financing opportunities, all of which constitute forward-looking statements under the federal securities laws. Actual results may differ materially from those contained in or implied by these forward-looking statements due to risks and uncertainties associated with our business. For a discussion of material risks and other important factors that could impact our actual results, please refer to the company's Form 10-K and Amendment No. 1 to Form 10-K for the year ended December 31, 2025, and our Form 10-Q for the period ending March 31, 1st, 2026, including the risk factor section therein and today's press release, both of which can be found on our Investor Relations website. Any forward-looking statements that we make on this call are based on assumptions as of today and other than as may be required by law, we undertake no obligation to update these statements as a result of new information for future events. Information discussed on this call concerning Blaze Holdings, Inc., industry, competitive position and the markets in which it operates is based on information from independent industry and research organizations, other third-party sources, and management's estimates. These estimates are derived from publicly available information released by independent industry analysts and other third-party sources, as well as data from Blaze Holdings, Inc.'s internal research. These estimates are based on reasonable assumptions and computations made upon reviewing such data and Blaise Holden's Inc. experience and knowledge of such industry and market. By definition, assumptions are subject to uncertainty and risk, which could cause results to differ materially from those expressed in the estimates. During this call, we will discuss certain non-GAAP financial measures. These non-GAAP financial measures should be considered as a supplement to, and not a substitute for, measures prepared in accordance with GAAP. For a reconciliation of non-GAAP financial measures discussed during this call to the most directly comparable GAAP measures, please refer to today's press release. Now, I'd like to turn the call over to Dhinikar Munagala, CEO of Blaze Holdings, Inc.

Thank you, Lana, and good afternoon, everyone. We came off a breakout growth year in 2025, and we expect 2026 to continue the trend. Q1 strengthened our commercial foundation through several new contracts and partnerships. First, we expanded our NeoTensor contract, bringing the total potential value to $70 million. We signed a strategic partnership agreement with Winmate, a publicly traded leader in ruggedized computing, with the intent to close approximately $15 million in business in the first year. we deepened our joint engagement with nokia across asia pacific together we stood up a joint ai innovation lab advancing hybrid ai rack scale development the engagement also includes a strategic partnership with datacom one of southeast asia's leading cloud service providers finally we announced blaze ai services and will bring our first application service to market q1 revenue came in at approximately 2.7 million dollars this reflects a global memory shortage that limited server availability from one of our trusted suppliers and delayed orders customer demand remained intact throughout the quarter we expect to secure the inventory needed to deliver over 11 million dollars to a single customer in the second quarter of this year and we are reaffirming our full year 2026 revenue guidance of 130 million dollars At JITX AI 2026, in April, one of the largest AI showcases in Asia, we announced Blaze AI Services, which we expect to turn AI infrastructure into production-ready APIs that cloud service providers, data center operators, and system integrators can deploy, monetize, and resell. Today, we are going to announce the next step in execution, the upcoming launch of our face recognition AI service, the first in a series of application-level services running on the Blaze Hybrid AI platform. Why this matters? AI services will complement our hardware sales with reoccurring application layer revenue per query. It's higher margin, it's stickier, and it scales with our partners' growth, not just with their capex cycle. Face recognition is the first proof point. Additional high-demand services, including intelligent document processing, will follow. We have signed a contract with NeoTensor that is expected to generate up to $50 million in revenue in the first year. This builds on more than $20 million in revenue that we recognized in Q4 of 2025, bringing the total potential value to approximately $70 million. The development uses a co-branded AI server built on Blaze QuadCard. Each server handles 200-plus simultaneous camera streams with advanced AI analytics while running LLM and VLM inference on the same infrastructure. This is what our hybrid AI architecture was built for, real-time perception at the sensor layer, advanced reasoning on the same rack, no round trip to a distant cloud. The rollout is expected to span multiple cities across Asia Pacific in multiple phases. Each phase is expected to drive higher margin revenue as the AI services layer takes hold. Earlier this month, we entered into a strategic agreement with Winmate. Together, we will integrate Blaze AI into ruggedized systems, drones, handhelds, vehicle-mounted units, and embedded devices for mission-critical operations, border security, maritime, essential infrastructure, and field healthcare. Beyond the contracts I just described, we are advancing a series of rack-scale hybrid AI engagements. Anchored by our joint partnership with Nokia, this work reaches cloud service providers and infrastructure partners. These opportunities are multi-site, multi-phase, with hundreds to thousands of edge nodes per program. They span Spark City, Sovereign Data Center, and large-scale ruggedized field use cases. The architecture is hybrid GSP plus GPU at rack scale, orchestrated by Blaze AI services stack. The pattern is consistent. Customers want sovereign control of their data. They want efficiency. They want application-level AI services they can resell. Hybrid AI delivers all three. Stepping back, the AI infrastructure conversation is shifting fast. A year ago, the industry was focused on one thing, massive centralized GPU clusters for training. Today, the conversation moved decisively toward sovereign language model, inference at the edge, in-country, at unit economics that actually work at scale. That shift is what Blaze was built for. Three pillars. Number one, sovereign AI infrastructure. Governments and large enterprises across Asia, Middle East, and Europe demand compute that stays within their borders, under their control. Hybrid RackScale enables this without hyperscaler economics. Number two, smaller LLM-based AI services. Most enterprise AI workloads do not need a frontier model. They need a tightly tuned domain-specific model on infrastructure they can afford. Our hybrid architecture runs vision and language workloads on the same rack, opening the service revenue our partners can monetize per query. Number three, programmable energy efficient compute. This is where the Blaze GSP Advantage compounds. Performance per watt, deterministic latency, a software stack that serves vision, LLM, and VLM workloads on the same hardware. Hybrid RackScale is the unit of deployment for the next phase of AI. We are building toward it, and our partners are buying in. On May 6th, we closed a $35 million equity offering, supported by a group of large institutional investors. This capital strengthens our balance sheet. The proceeds will support our commercial deal commitments, continued AI services development, RackScale Hybrid Platform Advancement, and Next Generation Platform Development. Blaze is a company executing against one of the most significant opportunities in AI history. RackScale Hybrid AI, sovereign infrastructure, the strategic path for reoccurring AI services revenue, and partnerships that put Blaze at the center of the AI inference build-out. Contracts are expanding. Partnerships are deepening across an increasingly diverse base of AI use cases. And finally, engagements are advancing in the field. So with that, I'll turn it over to our CFO, Herminder Samin.

Thank you, Dhinikar, and good afternoon, everyone. I'm pleased to share our first quarter 2026 results today. First quarter revenue was $2.7 million, up 170% year-on-year, and in line with the pre-release issued on April 14. As we flagged at that time, this was impacted by an industry-wide shortage of high-bandwidth memory, or HBM, the specialized memory chip that is necessary for AI servers primarily used for training or running large language models that shortage delayed an order to one customer near tensor that we now expect to fulfill in the second quarter at a value of more than 11 million dollars this is about a timing issue customer demand remains strong and over 70% of the revenue bill to near tensor in q4 of last year has been collected to date. Beyond NeoTensor, revenue in the quarter included delivery of software licenses and servers to our primarily US-based customer, drawn from inventory on hand. As noted on earlier calls, our roadmap for hybrid servers mitigates against these challenges. Our partner-branded servers, powered by Blaze Cards deliver competitive AI inference performance without requiring HBM. We expect those servers to begin shipping in the second half of this year, and we have already placed forward orders for Blaze chips and cards. We're exploring ways in which to strategically procure certain memory cards now to meet our projected demand into 2027. We believe this approach helps de-risk our projected revenue growth as the data center opportunities begin to crystallize. In parallel, we are developing a comprehensive rack-scale service solution to address data center inference workloads. We will continue to deliver enhancements to the application features on our AI services platform throughout the year. Given the timing of large orders and the early stage of data center expansion, we expect revenue to be back half-weighted this year, with visibility increasing as opportunities convert. Gross margin was 58% this quarter, up from 11% in the fourth quarter of 2025. Two factors drove the expansion. First, the mix shifted towards our higher margin software and Blaze-powered hardware. Second, the HBM-intensive NeoTensor order shifted into the second quarter. As previously indicated, blended gross margins are expected to be compressed by the higher portion of third-party hardware in our revenue mix in the next two quarters. As we begin the transition to deliver more inference servers and recognize recurring software revenues, blended gross margins in the fourth quarter of 2026 should exceed 30%. We anticipate further expansion in gross margin in 2027 as our partnership with Nokia opens additional data center opportunities globally. Net loss for the first quarter was $22.7 million compared to the net loss of $147.8 million for the same period a year ago. Q1 of 2025 included significant non-cash items and one-time merger transaction accounting adjustments. Consistent with previous calls, I'd like to spend a few moments breaking these numbers down to provide clarity about the underlying results, including singling out quarter-on-quarter trends were helpful. Total operating expense, including stock-based compensation of $8.9 million, was $25 million in this quarter. This was a decrease of $14.7 million year over year. Q1 of 2025 included $11 million of stock-based compensation, and $12 million in transaction expenses related to the business combination. The cleanest story is in our operating discipline. Research and development costs of $5.8 million in the first quarter, excluding stock-based compensation, were marginally lower than the prior quarter cost of $5.9 million. Selling general and administrative expenses, again, excluding stock-based compensation, were $10 million in the first quarter of 2026, up $1.6 million sequentially. Adjusted EBITDA loss for the first quarter this year was $13.9 million, $1.5 million better than the loss in the first quarter of 2025, and $1.9 million higher than the fourth quarter of last year. We ended the first quarter with a cash balance of $33.3 million on March 31, 2026. On May 6, we announced our $35 million equity raise that extends our runway to the middle of 2027 and adds a new base of shareholders. This round drew strong participation from high-quality institutional investors with deep expertise in data center infrastructure investments. This growth capital will enable us to deliver against demand to accelerate customer rollouts, lean into the data center opportunity, and invest in our product roadmap. We maintain close relationships with our key vendors and continually seek to secure favorable payment terms, which is particularly important during this period of supply chain constraints. As our data center opportunities gain momentum, we also intend to explore appropriate project financing partnerships to support deployments at scale. Finally, our revenue outlook for full year 2026 remains unchanged, with a second half meaningfully stronger than the first. Our adjusted EBITDA loss guidance also remains unchanged at between $45 and $50 million for the year. In closing, our recent equity raise was well-subscribed and drew strong participation from marquee investors with exposure to the data center infrastructure ecosystem. Our AI services platform and rack-scale hybrid AI developments are resonating strongly as the market shifts towards inference and real business outcomes from AI. And finally, we have great and growing partnerships in place to support revenue growth. With that, I'll turn it back over to the operator.

To ask a question, please press star 1-1 on your telephone and wait for your name to be announced. To withdraw your question, please press star 1-1 again. Please stand by while we compile the Q&A roster. Again, to ask a question at this time, please press star 1-1 on your telephone and wait for your name to be announced. Our first question comes from Kevin Cassidy with Rosenblatt Securities. Your line is open.

Yes, thanks for taking my question. Congratulations on maintaining the $130 million for the year. When we look at that $130 million, how would you expect it to be spread across geographically for you?

So it's the NeoTensor contract, of course, is expected to contribute a significant portion of the 130. There are other opportunities in Asia-Pac through the Nokia partnership. You know, Datacom is the one that we announced. You know, that should start to feature towards the end of Q4. And we have other edge opportunities in Europe that also expected to be part of that 113 number. So it's spread around Europe-Asia Pact. Dinekar, do you want to add?

The pipeline is quite strong in North America as well. And we're beginning to discuss some commercialization in the U.S. as well as in Africa as well. But as they materialize, we will, of course, be sure to announce them.

Okay. Maybe could you also talk about the effect that maybe the war in Iran might have on some of your opportunities there for security?

We have actually received significant inbounds for our drone detection system use case that we've demonstrated. This is all about perimeter security kind of use cases. And, yeah, there's an increased momentum in terms of opportunities coming our way. Of course, as these materialize into POs and revenue, we will keep announcing them.

Okay. Just one more question on the supply chain. So I think in your pre-announcement, you said that you're expecting a product to be shipped in the April quarter. Did that happen? And is it only the memory that's the long lead times, or are you having trouble with other products also?

So these are the HPM intensive memory sort of servers. And, you know, Neotensor is one of the early customers for the business we do there. So, it's actually obtaining the server itself. One of the reasons that we explained in Q1, we could have secured supply, but we would actually have to pay premiums that we weren't prepared to at the time. As we move forward into Q3, Q4, and our hybrid servers become available, and particularly the one we're really excited about is the one with NeoTensor, the white-labeled one, which has our quad PCI card in it, then some of those supply chain problems should diminish somewhat. But I think the macro sort of environment is still something that we all need to keep an eye on.

Right. Okay. I'll go back in the queue.

Thank you. Our next question comes from Richard Shannon with Craig Hallam Capital Group. Your line is open.

Well, thank you, Dineker and Herminder, for taking my questions. And I'll ask a very quick tactical question here regarding the outlook here for the second quarter. Herminder, I think you mentioned you're targeting $11 million for one particular customer. Is that the estimate or starting point you would like us to think about, or could it be somewhat or meaningfully higher than that?

It'll be somewhat higher, but again, it depends on just getting, maybe in our one-to-ones, Richard, we can talk a little bit more openly about that, but for now, we have good visibility on getting the NeoTensor delivered in addition to one or two others that we have in mind. Okay, perfect.

Thanks for that detail. Well, a second question, I guess for probably both of you, but I want to ask you about the Blaze AI services. You're talking about the first application being face recognition rolling out here. I'd love to get kind of a few different questions about this. First of all, over what time period do you expect this to be rolled out and ultimately bring first revenue recognition for you? Are there any particular end markets where you expect to be first adopted? And then the last part is, how do we think about the kind of the revenue contribution over the life cycle of your equipment relative to that equipment sale? Is there a percentage we should be thinking about? Just any way to kind of write a mental model for that? That'd be great.

I can take the first part and then Harvindu can jump in. And AI services, certainly, it is exciting to our cloud service provider partners, as well as data centers, because it allows them to monetize their infrastructure that they've invested in, and that's having all the momentum. So initial application, of course, we have video-based applications that we are working on, which we're actually working with anchored partners, as well as the facial recognition. And the initial target is around use cases around smart kitchens, around immigration, those class of use cases where FaceRack is pretty widely used. Initial anchor customers are in the Asia region. Also, things like citizen safety, elderly care, et cetera. There's some software that we've developed that is actually being well-received. In addition to this, document processing is something that we will be next launching, and it's already under development, and we will be releasing it to early access cloud service providers once it's complete. And this is actually quite helpful because from an economic standpoint, the cloud infrastructure that they invest will be monetized. the recovery, return on investment is much faster because they'll be able to monetize it through these services. I'll let Harmin there.

Your other question was, you know, the time period. We expect from Q4 onwards to start to deliver some of the CapEx. So if you stand back, the AI services comprises of blaze-powered servers, hybrid servers. So there's a certain amount of CapEx involved, which we recognize straight away. And then there is a recurring revenue element associated with monetizing the APIs. And that, of course, you know, there will be some sort of a contract in place, but the revenue recognition will be monthly as usage takes place. But Q4 is when we start to see some of that featuring in our revenue mix. I actually expect to see AI services as a whole becoming a significant feature of 2027 revenue mix, and more of it being some of this recurring revenue, because we have the opportunity to basically trade off some of the upfront margin that we would make on the CapEx sale in place of higher margin for ongoing software revenues.

And just to add that although we spoke about these two or three areas, there's quite a strong and compelling roadmap behind this that we are announcing and showing our early access partners and it's resonating well with them. This is actually helping us significantly in terms of translating the conversations into actionable, you know, how they place orders and become long-term partners with us.

Okay, great. Thanks for that detail. My last question, I'll jump on the line here, is to follow up on Nokia. Obviously, a great partner to have here with Worldwide Reach. It seems like your first, you know, big partnership with Datacom seems to be kind of the champion of Indonesia here. How do we expect to see or how should we look for, you know, you know success in other places in Southeast Asia through Nokia how are those developing what should we expect to see from that during 2026 thank you

so we started off about six six months ago with Nokia and the initial action was to develop a joint part rack scale offering that comprise both Nokia and Blaze hardware, as well as AI services software. And we've demonstrated this at Jitex Asia. That was well-received. And there's a pretty strong pipeline of customers behind that, cloud service providers, infrastructure players, system integrators that we've been working with. And the first conversion is Datacom, and there are others behind it. So as these contracts start materializing, we'll start announcing them.

I don't know if you want to add any more. No, and just the only thing I would add is the other thing we're really excited about is the rack scale hybrid server work that's happening right now. Because as you recall, in a couple of quarters ago, we introduced the whole concept of AI services platform. And what we're now starting to see is that concept resonating really well with cloud service providers. Something that Dineke has been mentioning for a while is the faster we can help these Tier 2 players to reduce their ROI through a combination of Blaze hardware and other partner solutions, then the faster we will see the adoption of real-world outcomes from AI being utilized by customers.

Okay, great. Thanks for all that, guys. I will jump on the line.

Thank you. Our next question comes from Craig Ellis with B. Raleigh Securities. Your line is open.

Dina Karkar Mender, thanks for taking the question. I wanted to pick up where you left off talking about AI services and just clarify, inside of the expectation for $130 million in revenues this year, what have you incorporated for AI services?

If I take a combination of the hardware and some of the software, probably about 15% to 20%.

Got it. And then another lens into the $130 million, we've got more HBM-dependent configurations and HBM-free configurations. If we look at the $130 million on the system side of the business away from services, how does the expectation split between what's dependent upon HBM and what would be HBM-free?

So if you'd asked me this question maybe three, four months ago, I'd have said a large portion of the NeoTensor early contract that we've got would be more HBM-intensive. What's actually forcing a faster adoption of, you know, towards our hybrid solutions is the fact that these servers are now becoming uneconomic for some of the smaller players. So out of the 130, you know, maybe 20 percent or so would be the HBM sort of intensive stuff. But I'd see I'd expect to see a migration. You know, our servers start to come on stream, you know, in the second half of this year and at scale. And the faster we can get that done, the faster we can make sure that our own supply chain is unencumbered, then that transition will happen that much faster.

Yeah, just to add that quite a bit of momentum around the fact that we were able to demonstrate a real end business case, you know, return on investment using VDR technology. I think that's actually resonating well with customers. The majority of the 130 is based on LPDDR kind of memories.

Got it. Thanks, Kat.

Thank you. As a reminder to ask a question, please press star 1-1 on your telephone and wait for your name to be announced. Again, that is star 1-1 to ask a question. Our next question comes from Scott Searle with Roth. Your line is open.

hey good afternoon thanks for taking the questions hey guys maybe just a couple of follow-ups on blaze ai services wanted to clarify um you know in in terms of the ramping recurring model is that revenue share or is that going to be purely capacity driven and then also to follow up on a couple of the earlier questions um i think you said uh hermander about 15 to 20 percent would be tied to that either in CapEx or otherwise in calendar 26. Is all of that to occur in the fourth quarter? And then what's the early thought process then in 2027? You said it would be significant. Just wondering if you could frame it for us. And then I had a couple of follow-ups.

Okay, sure. So the recurring revenue is partially revenue share, but we also have developed a very rich library of AI models, which we're already monetizing with some of the sales that we've made so far so it's going to be a combination of the particular deals that we strike with the partners that we've got in cloud service providers at the cloud service provider partners are bigger pun through rev share through licensing of some of those libraries that we've developed and then in yes the 15 to 20 percent I expect largely in Q4. It's just a question of when those servers of ours become available at scale.

Gotcha. And, you know, in the past, you guys have talked about a total qualified opportunity pipeline. I'm wondering if you could give us some indication in the ballpark of where that might be. And, Dinnaker, there were a couple of comments that I found interesting. I think you referenced the United States, some opportunities. I'm wondering if you could talk about the application in the end market, and I think specifically you said within Europe, more edge AI applications, and you've mentioned drones a couple of times. I'm wondering how small and scalable do the solutions go? Are you going out to the drones themselves in ruggedized applications, or is it in other infrastructure that ends up being drone detection?

So the combination of both, if you see, we do have this small M.2 factor, a form factor that can go into a drone. We do have a pipeline based on that. We also have the connectivity layer to a command and control center and where our servers decide and there you could do actions like drone detection, any kind of early drone security warning which is actually quite an interesting use case amidst what's happening globally. So I'd say it's a combination of both. To the earlier question about US, the range of opportunities are from energy efficient data center. That's one of the initial and driving thing because our servers are inherently lower in power and therefore the OPEX for the end cloud service provider and the cloud and the data center operator is much lower. At the same time, using our AI services, they can monetize the infrastructure. So that's driving the US business.

Yeah. So you asked about the pipeline. So the pipeline is constantly evolving. For us, it's a sizable number. And we're prioritizing the near-term opportunities, and particularly those that leverage the hybrid AI services advantages. What we are transitioning to focus on, and I'll start to talk a lot more about this on the next call, is about our contracts and POs, about our bookings, about backlog and revenue. I think these are much more meaningful metrics that enable folks like yourselves and investors to get a sense of where the revenue growth is, how the revenue growth is developing.

very helpful and lastly if I could I'll throw out one more just the competitive landscape it's rapidly shifting is rapidly evolving out there in terms of AJI and data center hybridization I'm wondering who you're seeing on the shortlist and who you're really competing against besides the large obvious guys thanks so we're actually complementing quite a bit of

GPU-based designs. So people look at this as a healthy way to reduce both CapEx and OpEx. So that's one. The second piece is often the discussions are around, hey, I have this enterprises, right? They really care about the use case that they're trying to solve within a certain CapEx and OpEx budget. So really those are the frameworks that we get in and then having a programmable solution and the right software and the AI services helps us piece together along with our system integrator partners, solutions for the business. So it's less to do with who's a head-on competitor, but more about how we deliver to a certain business value, and that's what is resonating and leading to wins. Great. Thank you.

Thank you. I'm showing no further questions at this time. I'd like to turn it back to Donikar Munagala for closing remarks.

Thank you for your questions, and let me share a few thoughts before we close. The inference market is now, and Blaze is positioned at the center of it. 2025 was a breakout 20x growth year, and the contracts and prices that we discussed today are extending the trajectory into 2026. Neotensor drives our Asia-Pacific edge data center expansion with $70 million in total value. Nokia anchors our rack-scale engagements and AI services engagements across cloud service providers and infrastructure partners globally, with Datacom extending our reach across Southeast Asia. Winmate brings Blaze into ruggedized platforms for mission-critical operations and embedded edge infrastructure. customers are validating a hybrid AI rack scale platform and our AI services layer as the right way to address the inference economy the momentum is real and we're excited and we expect to continue this trajectory in the coming quarters thank you for your time and continued support this

concludes today's commerce call thank you for participating you may now disconnect