Good day. My name is Stephanie, and I will be your conference facilitator. I would like to welcome everyone to Aeva Technologies' 4th quarter and full year 2025 earnings conference call. During opening remarks, all participants will be in a listen-only mode. Following the opening remarks, we will conduct a question-and-answer session. As a reminder, today's conference is being recorded and simultaneously webcast. I would like to now turn the call over to Andrew Fung, Senior Director of Investor Relations and Corporate Development. Andrew, please go ahead. Thank you. Welcome everyone to Aeva's fourth quarter and full year 2025 earnings conference call. Joining on the call today are Soroush Salehian, Aeva's Co-Founder and CEO, and Saurabh Sinha, Aeva's CFO. Ahead of this call, we issued our fourth quarter and full year 2025 press release and presentation, which we will refer to today and can be found on our investor relations website at investors.aeva.com. Please note that on this call, we will be making forward-looking statements based on current expectations and assumptions, which are subject to risks and uncertainties. These statements reflect our views only as of today and should not be relied upon as representative of our views as of any subsequent date. These statements are subject to a variety of risks and uncertainties that could cause actual results to differ materially from expectations. For a further discussion of the material risks and other important factors that could affect our financial results, please refer to our filings with the SEC, including our most recent Form 10-Q and Form 10-K. In addition, during today's call, we will discuss non-GAAP financial measures, which we believe are useful as supplemental measures of Aeva's performance. These non-GAAP measures should be considered in addition to and not as a substitute for or in isolation from GAAP results. The webcast replay of this call will be available on our company's website under the Investor Relations link. With that, let me turn the call over to Soroush. Thanks, Andrew, and good afternoon, everyone. 2025 was a transformational year at Aeva. In an evolving industry, we significantly solidified our leadership position with more customers adopting our unique perception platform and industry leaders partnering with us to further accelerate our momentum. Coming out of one of our best CESs to date this past January, Aeva is building on that momentum and off to a very strong start in 2026. We see a growing number of exciting opportunities to pursue this year and are focused on aligning supply to respond to the rapidly increasing demand for Aeva's suite of perception solutions. This will build on 2025's significant accomplishments. One of the biggest is our first major passenger vehicle production program award. This is from a top European passenger OEM, long known as a leader in the automotive industry, with a strong track record of bringing industry-defining capabilities to market at mass volume. Aeva will be the exclusive LiDAR supplier to this OEM globally outside of China. NVIDIA also selected Aeva as the reference LiDAR sensor for its DRIVE Hyperion development platform, which is being adopted by an expanding number of major OEMs to bring Level 3 and higher automation to their production vehicles. This is another major validation for the need for LiDAR from one of the leaders in the industry. As the core LiDAR sensor on the platform, NVIDIA will incorporate our unique 4D data to enable OEM development, validation, and simulation, which we believe could further accelerate the adoption of Aeva's perception platform across the automotive industry. We also continued to deliver on milestones for existing production customers, such as Daimler Truck. With Daimler Truck, we successfully completed on-road validation of our Atlas B samples and are on schedule to deliver final C samples this year. As the exclusive long-range LiDAR supplier and primary detection sensor for Daimler Truck's autonomous production trucks, we are excited to continue supporting their progress towards commercialization. To advance a growing number of opportunities beyond just automotive, we formed a strategic collaboration with LG Innotek to bring 4D LiDAR to a broad range of physical AI applications, where LG Innotek is already a major player with significant global scale. The goal of our partnership is to leverage each other's strengths to accelerate deployment of Aeva's 4D LiDAR across multiple markets. As part of this, LG Innotek is investing up to $50 million in Aeva through a combination of an equity stake, non-dilutive investment for new joint products for physical AI, and capital investments to bring production capacity online for our next generation of products. Since forming the partnership last May, we have made quick progress on a number of fronts, including joint development of Omni, the new 360-degree product that we unveiled at CES last month. This is in addition to Aeva's line of Eve precision sensors, designed for micron-level accuracy in factory automation applications. Shipments of these sensors began in late 2025 to our initial customers, such as SICK AG, and are on track to ramp up this year. I am pleased to say that Aeva's financials also reflect our building momentum. We doubled our revenue in 2025 to a new record for the company, driven by increasing sensor shipments and expanding applications. To better position Aeva to meet this growing demand, we bolstered our balance sheet by approximately $150 million with leading partners LG Innotek and Apollo. With one of the strongest balance sheets in the industry and expanding interest for our differentiated technology, we look forward to another exciting year in 2026. Let's dig a bit more into recent business developments. Starting first with our global production program award from a top European passenger OEM. This is the OEM we have been working on a development program with over the course of 2025, and previously referred to as a global top 10 passenger OEM. The award is significant for a couple of reasons. First, in scale. The OEM sees Level 3 capabilities as a key differentiator for its next generation vehicles and is developing a standardized automated driving platform for broad deployment globally across multiple vehicle model lines, and not just the top-end models. Aeva will act as the exclusive Tier-1 suppliers globally outside of China through the middle of next decade with a target SOP in 2028. Second, this win marks the first major passenger OEM transitioning from Time-of-Flight to FMCW. This OEM has extensive experience with Time-of-Flight LiDAR, including an initial rollout of limited Level 3 capabilities. The OEM selected Aeva for its next generation following extensive evaluation of other solutions and Aeva's ability to help the OEM achieve key use cases needed to safely enable Level 3 on a broader scale. Given this OEM's reputation as an industry leader in bringing new features and capabilities to the automotive market at mass volume, we believe their selection of Aeva is a tremendous vote of confidence in the superior performance and scalability of our differentiated technology. We expect this to deepen our engagements with other major OEMs and potentially drive other OEMs also considering our perception technology to make a similar decision. With our growing pipeline and deepening engagements, I am happy to share that a new global top five passenger OEM has selected Aeva for a development program focused on the configuration, integration, and validation of our Atlas Ultra sensor for their next generation global production vehicle platform. The OEM selected Aeva for the development program after extensive experience with time-of-flight LiDAR and a growing appreciation that our unique performance helps address key use cases critical to enabling higher levels of automation and at scale. We believe that Aeva is well-positioned given our differentiated performance, balance sheet, and commercial momentum with more leading OEMs awarding Aeva as well. Another example of our growing momentum is NVIDIA selecting Aeva's 4D LiDAR as the reference LiDAR sensor for its DRIVE Hyperion platform. NVIDIA is one of the top leaders in autonomous vehicles and works with some of the biggest OEMs and industry players, such as Mercedes-Benz, Stellantis, Uber, and others. DRIVE Hyperion provides a common platform for integrated sensor and compute designed for real-world autonomous driving applications. The same architecture consisting of a common suite of LiDAR, radar, and cameras can support a wide range of vehicle types from passenger vehicles, robotaxis, and delivery fleets across multiple configurations. We believe NVIDIA's selection further solidifies the case for LiDAR to enable higher levels of automation and has the potential to accelerate adoption of our technology. As the reference sensor on the DRIVE Hyperion platform, NVIDIA is integrating our 4D data for OEM development, validation, and simulation. This has the potential to effectively make Aeva a core LiDAR supplier to passenger and commercial vehicle OEMs using the platform globally outside of China. As OEMs incorporate Aeva's added dimension of velocity into their AV stack, we believe it will drive greater collaboration with Aeva and the potential reliance of our technology that positions us well to win their production programs. Beyond automotive, Aeva continues to expand into new applications. As we highlighted at Aeva Day last summer, our unique perception platform leverages the same core hardware components with different software to reach an $80 billion-plus market opportunity across a wide range of applications. This includes the fastly growing multi-billion dollar defense market, where LiDAR is increasingly used for autonomous vehicles, drones, and security. We are engaged with a number of leaders in this space and recently announced our first defense win with Forterra. Forterra is a key provider of autonomous mission systems for defense and other complex operational environments and has selected Aeva to use our glider technology for its autonomous vehicle system, AutoDrive. Forterra is also transitioning to Aeva due to our combination of long range, velocity, and vehicle positioning that enhances perception, including unstructured and in GPS-denied environments where defense vehicles need to operate. Unlike existing solutions, our sensors are also undetectable by night vision systems, a critical feature in sensitive operational environments. We believe the large defense market can be a meaningful portion of our business in the near term. We have already begun sizable shipments to Forterra last quarter and look forward to supporting this program as well as other defense opportunities that we're currently engaged on. Moving now to Aeva's key objectives. Let me start with a review of our 2025 goals before turning to our plans for 2026. We set ambitious goals for 2025 that were designed to further position Aeva on a path for significant and sustainable growth, and it was an incredibly successful year. We exceeded our target for two additional wins with a top European passenger OEM production win and NVIDIA in automotive. With SICK AG and LMI Technologies in manufacturing and factory automation, as well as others such as Sensys Gatso and Smart Infrastructure. In terms of product and manufacturing readiness, we successfully completed the final release for our Atlas product, as well as the buildup of our automated final assembly line, which we expect to enable systems annual capacity to reach 100,000 units. As we'll discuss later on, one of our objectives for this year is to focus on increasing capacity of our supply chain in collaboration with our key partners. Aeva also made significant strides towards expanding into new applications such as precision sensing with our Eve sensors that have already begun shipping. A strategic collaboration with LG Innotek that has resulted in our expansion into new physical AI and robotics applications with joint new products that we aim to bring to the market. We accomplished all of this while meeting our financial targets to grow revenues by about 100% and also reducing operating expenses by more than 10%. Looking to 2026, we are focused on further solidifying our leadership position in sensing and perception and our path to profitability. In particular, we are targeting another 4 or more commercial wins this year, including within automotive and non-automotive applications. At the same time, we will be equally focused on upcoming production launches with our customers. We are on schedule to begin shipping our Atlas C samples to Daimler Truck this year and are working closely together ahead of startup production. We also plan to further accelerate our expansion within the industrial robotics and the broader physical AI space with a release of Omni that is targeted for the second half of this year and a 5 times increase in our industrial sensor shipments. To support our growing programs, we will build on the work to scale our manufacturing achieved last year. Key milestones will be beginning manufacturing on our fully automated final assembly line, as well as working with our key partners to increase capacity for our module supply chain to support the growing number of commercial wins. Lastly, we plan to do all of this while continuing to strengthen our financial position. Consistent with the financial framework that we shared at Aeva Day last year, and what we delivered over the prior few years, we target another year of significant growth while maintaining similar levels of operating expenses. To sum it up, we expect this year will be another major year for Aeva with significant opportunities to advance our commercial momentum with new wins while keeping our ongoing focus on supporting existing programs and for financial discipline. With that, I'll turn it over to Saurabh. Thank you, Soroush, and good afternoon, everyone. Before I walk through the financials, I want to emphasize themes that defined our fourth quarter and full year 2025 performance. We are seeing increasing near-term commercial momentum in existing as well as new markets, which have shorter sales cycles, while at the same time continuing to grow our mid-term revenue potential with major program awards. We are also strategically positioning Aeva with partnerships such as with LG Innotek to further capture the rapidly growing number of opportunities across physical AI. We continue to do this with disciplined capital management supported by the strategic financing we completed earlier in 2025, which strengthens our liquidity and extends our runway through key milestones. Now let me review Aeva's Q4 and full year 2025 financial results. We had a record revenue quarter and year for Aeva in 2025. Revenue in Q4 was $5.6 million and for the full year, $18.1 million, which reflects doubling of our revenues last year compared to 2024. This increase in revenue was driven by higher sensor shipments across a number of customers and applications, as well as NRE revenues from customers such as Daimler Truck and the top European passenger OEM. Our non-GAAP operating loss was $23.8 million in Q4 and $102 million for the full year. On a full year basis, non-GAAP operating loss declined by 17% that was driven by a 12% reduction in non-GAAP operating expenses. Aeva's gross cash use, which we define as operating cash flow less capital expenditure, was $23.7 million in Q4 and $119.7 million for the full year. Aeva's total available liquidity at the end of 2025 was $246.9 million, which consists of $121.9 million in cash equivalents and marketable securities, and $125 million in an undrawn facility that is fully available to draw at management's sole discretion. We believe this provides Aeva a competitive advantage to continue supporting both existing customers and securing additional wins across a broad range of applications. Moving now to our financial outlook for 2026. At a high level, we expect to continue strengthening our financial performance that is consistent with the framework we highlighted at the Aeva Day last summer. More specifically, we target growing revenue to the range of $30 million-$36 million in 2026, which would represent an increase of approximately 70%-100% year-over-year and marks our third consecutive year of a similar revenue trajectory of essentially doubling annually. The targeted growth in revenue is anticipated to come from a combination of increasing product shipments and increasing contributions from multiple programs as they approach production. Where we land within our guided range will be dependent on exact timing of customer shipments, development activities and ramp. Consistent with prior years, we expect revenues to fluctuate from quarter-to-quarter. In terms of spend, we plan to remain strategic and disciplined in how we manage our capital. We see opportunities to balance the need to invest in the business with the completion of certain product development costs, as such, we target full year 2026 non-GAAP operating expenses to be similar to prior year or a slight increase of up to 10%. In summary, Aeva is executing on its roadmap to capture more of the $80 billion+ market opportunity while maintaining a disciplined financial approach. Looking ahead, we expect this to continue we are focused on maintaining a balance sheet to enable further expansion while continuing to deliver on our customers' milestones. Let me turn the call back to Soroush for closing remarks. Thank you, Saurabh. Across an expanding number of industries from automotive to industrial automation, robotics and more, the momentum for our perception platform to enable the rise of physical AI is increasingly clear and taking hold. Coming off a landmark year at Aeva, I would like to thank the Aeva team for their dedication and tireless work, as well as our growing list of stakeholders for their tremendous contribution and support. I fully expect 2026 to be another major year for us, with focus on execution and growing number of opportunities to further strengthen Aeva's leadership position and the foundation for significant long-term value. With that, we'll now move to questions and answers. Thank you. If you'd like to ask a question, press star one on your keypad. To leave the queue at any time, press star two. In the interest of time, we ask you please limit yourself to one question. Once again, that's star one to ask a question, we'll pause for just a moment to allow everyone the chance to join the queue. We'll take our first question from Joe Moore with Morgan Stanley. Please go ahead. Your line is open. Great. Thank you. I wonder if you could talk about the NVIDIA relationship a bit more. I know we discussed at CES, but can you know, how long have you been working with them, and can you sort of talk about what benefits you may see from that over time? Yeah. Hi, Joe. This is Soroush. Happy to take that. This NVIDIA reference win for us is a major collaboration, and I think also the biggest piece about it is this is not just another, you know, collaboration where, you know, anybody can interface with the NVIDIA stack, right? This is the result of a period of effort that we've worked together for quite some time, and we're actually actively working on a production program for an OEM together. This is I think first of all, a validation for LiDAR as itself, because NVIDIA obviously is one of the top leaders in the AV space. Our partnership is surrounding around our deployment of Atlas Ultra, as well as plugging in also Atlas, specifically for all the OEMs that are developing on the NVIDIA DRIVE Hyperion platform. The DRIVE Hyperion platform, why this matters is because it's one common platform, one reference set of the same LiDAR, the same radar camera, as well as NVIDIA processor with the software on top of that is gonna be replicated across all the OEMs that work with NVIDIA. That's why we think it can have a significant and a massive potential for us to effectively get with one partner, the potential for multiple OEMs that sign on. That, I think as a result of that, and on the heels of also our win with the top European OEM, we're seeing now an increasing demand and increasing conversion rate also for the company to get these additional wins and bring the product to market. As OEMs, you know, as I mentioned also, leaders in the space such as Mercedes-Benz, Uber, Stellantis, others deploy these technology, we expect that, you know, we see that that potential for our LiDAR sensor to be used as a reference set for these production programs is gonna be very significant and critical for deployments specifically for Level 3 and beyond as well. Yeah. Very cool. Congratulations. Thank you. Thank you. We'll take our next question from Colin Rusch with Oppenheimer & Company. Please go ahead. Your line is open. Thanks so much, guys, congrats on this top 5 development program. You know, I would love to understand a little bit more with that top 5 passenger OEM, the competitive dynamics, and how many other folks are at the table and where you really found some leverage in terms of being able to push yourself to the front on that. The second kind of part of my question is really around the pipeline and the defense space. Obviously having the Forterra relationship is a great validation. Curious about how robust the pipeline is around those defense applications as we move towards a more autonomous sort of military environment, you know, across the globe. Yeah, Colin, happy to take that. Thanks for your question. First of all, on the top five, this is I think the biggest thing for us is this is another major validation point for the transition going from Time-of-Flight towards FMCW. You know, the growing pipeline to your point about the pipeline for our technology and the company here. First of all, this OEM has extensive experience with Time-of-Flight and existing LiDAR solutions. Based on our engagement and the joint development that we are doing now, they're increasingly transitioning and looking to adopt our technology. The reason for that is because they view FMCW as the kind of key driver for future-proofing their AV stack, right? That's important because there are certain use cases as the OEM is transitioning from, you know, the lower level automation to Level 3 and higher, where they can take advantage of those differentiation from FMCW and from our perception stack. That's one of the key, I think, drivers for where we are today with them. I think, we are obviously now progressing with the configuration, integration. It's really surrounds of our Atlas Ultra. Importantly, again, we're gonna be working on one common platform that is built on the same Atlas Ultra product that we are deploying for our, for the other top 10 passenger OEM, with some tuning relevant to this OEM, mostly in software, to deploy this across multiple vehicle lines and really across multiple car brands for the OEM's global production platform. One common platform that's gonna be hopefully going across multiple car brands. That being said, given where we are, we believe Aeva is very well positioned, given both our differentiated performance, our technology platform, our balance sheet, and the growing commercial momentum for the company with our partners to deliver on this program and also to continue our conversion rate from development towards production. You know, obviously exciting for us to get to be able to share that today already within 2 months after some of the other announcements. On your other point of your question about defense. As I mentioned on the call, and you alluded to it, this is a growing market. It's a massive market already. It's one that we are seeing increasingly look into advanced sensing like LiDAR to be able to enable autonomy at different levels, including for AGVs, autonomous ground vehicles for the ground, but also for drone applications, right? This is a multi-billion dollar market. Our first win with Forterra in defense was at the beginning of this year, we are moving pretty quickly on this. You know, we have already started making shipments that are sizable to Forterra. We have a number of other engagements in defense that we think is gonna be a potential meaningful contributor to our near-term product sales. That's something that we're gonna keep going on and is a momentum that we're seeing. It's another proof point of the team here is executing on multiple fronts. It's not, you know, now, Aeva is one of the, I would say, the only pure play company in the perception space that has real commercial traction, both in automotive as well as non-automotive applications that we're looking to now leverage that and grow our scaling to be able to support that demand. That's the focus for this year. Appreciate the insight. Thanks. Thank you. We'll take our next question from Suji Desilva with Roth Capital. Please go ahead. Your line is open. Hi, Soroush and Saurabh. Congratulations on the customer announcement here. Maybe you can talk about the physical AI market. I know LGI is a partner there, but will LGI be able to enable you to tap the global physical AI opportunity, or will you need other partners to target various pockets of that? Yeah, Suji, happy to answer that. Obviously the rise of physical AI is super broad right now, and it's expanding pretty quickly. I think it's an area where I think it is gonna be hinging on and relying on advanced sensing, including LiDAR and perception, significantly and growing in the coming years here. There is near-term opportunity here, right, in physical AI. As you mentioned, for us, with the same core platform. Different software, we can address different markets, automotive or manufacturer automation or defense. You know, we can also scale the performance, so where we can provide unique capabilities that are not really achievable with existing, let's say, LiDAR solutions in general. For example, getting to micron level accuracy for factory automation applications. That relates directly to physical AI and robotics. In our strategic collaboration with LG, we see them as a key partner that can help us expand into these markets. They have the direct credibility and the scale and the resources, and most importantly, the commitment at the highest level of the CEO and across CTO and other levels to bring together new products based on FMCW technology to those markets. They're one of the largest suppliers of camera and vision modules to consumer companies like Apple. They're delivering automotive solutions within a number of players in automotive. They're also working on visions and kind of laser-based solutions for robotics market, including humanoids and others. That is something that we are working on together. Our first product, jointly is Omni, which is a 360 sensor solution for the industrial robotics market. I think that's gonna be a big part of the physical AI application. We're also working on next generation products that we think can help address some of those other markets and customers that I mentioned earlier. We're excited about that. I think we're in a very good position. They're very dedicated. They're investing significantly also in that, $50 million about, into the company, and also taking on the CapEx for that. That I think is a good sign, and we'll continue to leverage the existing partners we have and deliver on those new market expansions that we are starting to see now. Okay. Then my other question on the defense market, I'm just curious why you think now you're seeing the interest and traction from the defense customers. Is it your readiness or their interest in something's catalyzing that? Also, is the competitive landscape different there, or what are they using currently that they may be upgrading to FMCW? Thanks. Yeah, of course. I think, first of all, the defense budget is seeing significant growth, right? Year-over-year. That's a big area. I think, we are seeing that also rely more and more heavily on AI-based solutions, AI-based, edge-based solutions. That's why having a perception system and not just a gadget is important here. With our technology, there's a number of key advantages where we see why some of this acceleration of defense opportunities happen. You know, I'll give you maybe one of those examples. For example, for ground vehicles, the win we have with Forterra, one of the key challenges for applications in defense is when you have automated vehicles, you need to rely on these on sensors, including LiDAR, right? There's no GPS. It's a GPS-denied environment. With our technology, because we have the ability to do our own motion estimation and odometry, that helps with navigation in GPS-denied environments. That's one of the advantages of FMCW. We have the long-range sensing with the velocity, which anything happening in the field, in the battlefield that's dynamic is super critical to see immediately. We can instantly detect those. Third, and I think very importantly also, out there in the field, you know, when you use active sensing, these sometimes, these, if they're time-of-flight based, especially with time-of-flight sensors that are out there today, are very easily detectable by night vision goggles. Night vision goggles have a very high penetration obviously across the battlefield. This is something that becomes problematic. One of the core drivers for our selection also was the fact that with our technology, it's not visible in the night vision goggles, besides all the other things I mentioned. We are seeing that interest now from other players in the market, and we think, you know, that's why it's, you know, moving quickly. We have already shipped, you know, actually as part of last year, we actually had sizable shipments in the defense application that was almost double-digit percentage for our product sales. I think that all of that, because of the agile movement and the new emerging players that are driving that, we are seeing ourselves also being pulled into that market, which is quite exciting. Thank you. We'll take our next question from Richard Shannon with Craig-Hallum. Please go ahead. Your line is open. Hi, guys. Thanks for taking my question. I'm actually gonna ask a follow-on or kind of rephrasing a prior question. Love to ask in a slightly different way than have my own question here. The first one is on the top five OEM here, specifically on the dynamic of competition here and the way you phrased your answer, Saurabh, was kind of leaning heavily towards making me think that there is no other competition going on here. I'd love to hear you state that or what you think is going on there. My question really is on the targeting four wins for this year here. Would love to get a sense of how many of those you expect to be in the automotive space with higher volume opportunities. Thank you. Sure, Richard. Good questions, and happy to answer. On the on the top five, you know, obviously, let me say there's always been competition, but I think the competition landscape has for sure consolidated. You know, if you look at the pure play, capable companies that can compete is less. One of the key drivers for our engagement with this OEM is because, you know, to what we see in the feedback, they are intending to make that transition to FMCW. This is, you know, to everything that we see and the feedback that we hear, is going to happen. What we're working together on is the timing and how we intercept that for the next generation vehicle platforms. We are looking at options that we think could potentially accelerate and adopt and, you know, intercept an existing program. We are also looking at opportunities that follow right after that. These are, you know, similar SOPs to the other passenger program, maybe, you know, slightly later to follow that up. That's what I can say right now. Obviously, a key differentiator is our technology. The other piece of it though is it's not just about the tech, you know, or having a cool gadget. Have to have all the automotive capability, the certifications, the teams, and really the, I think, experience and ability as a Tier-1 supplier to be able to deliver those. Lastly, I think having a strong balance sheet helps us to be a viable and long-term partner to an OEM like that. The catalyst here for us has been really the top 10 passenger OEM followed by NVIDIA. I think we're seeing now a growing demand from multiple OEMs, including other top 10 or 5 OEMs that are in discussion with us about the adoption of our technology because they may have some similar views. I would say that's where we are. It's a, you know, obviously we're just getting going, but we'll provide updates as we go forward, but we're overall pretty excited and this is something we've been talking about for quite some time, right? That's on that one. To, I think your, other question about, the wins for this year. Yes. We target just, yeah, about 4 wins for this year. Look, my expectation is that it's gonna be split fairly evenly, so let's say target 2 and 2 of each. You know, it's also dependent on the timing of the customers and their decision-making. I can tell you, obviously, we have multiple programs across each of these markets within automotive and passenger and commercial vehicles and not automotive across the different sectors that, you know, provide us opportunities. I hope that we can even exceed that target. You know, we're just getting going on the year and we're setting some aggressive targets. This is, by the way, I think 2 times more than what we targeted last year, so. Thank you. We'll take our next question from Matthew Paciulli with Canaccord Genuity. Please go ahead. Your line is open. Hey, guys. Congrats on the quarter, and thank you for taking my questions. maybe just to start, we've seen some recent pullbacks, from OEMs kind of towards their Level 3 deployments. you know, do you foresee this impacting any of the existing programs that you have? Maybe more broadly, with anything that's in the pipeline, do you foresee any OEMs kind of delaying their timelines there? Yeah. Sure, Matt. Happy to answer that. Actually, you know, what's interesting is some of the OEM programs that are looking to transition, one of those reasons because, as I said, is the fact that they're looking to future-proof their stack. What they see is with the experience that they built up with the existing stack and the existing solutions, there were some gaps, right? That's where the opportunity for us actually is quite interesting because now this is in a position where it actually helps us. Now, you know, one of the reasons that, for example, we have the Level 3 program with this top 10 passenger OEM is because they decided to make that transition from another Time-of-Flight solution, right? You know, these folks, if you look at depending on, you know, who you're talking about, they're now looking to focus all the efforts separate from Level 2 onto Level 3 for programs to come up in a couple of years from now by 2028. That's the, that's the timeline. We're seeing this, I think, I would say, focus from the market across multiple OEMs to achieve the same goals or similar goals by the similar timeframe between 2028-2029. You know, this is not just one OEM, it's multiple. You know, as you see also, from like, for example, the announcement today on the top five, that's another one that's having a similar timeline in mind for that. I think Aeva is coming at the right time. Some of those adjustments or transitions is actually coincidental with the OEMs making those decisions. This does not mean that they're actually looking not to do L3. They're actually looking to bring L3 with the right partners, the right stack as soon as possible, and they're putting all their focus on that besides the level two program. That's what I would say about the company you mentioned. Great. Thank you. Thank you. This concludes today's question and answer session. This brings us to the end of today's meeting. We appreciate your time and participation. You may now disconnect.