Good day, everyone, thank you for standing by. SoundHound AI Q4 2025 earnings conference call. At this time, all participants are in a listen only mode. After the speaker's presentation, there'll be a question and answer session. To ask a question during the session, you'll need to press star one one on your telephone. You'll hear an automated message advising your hand is raised. To withdraw your question, please press star one one again. Please be advised that today's conference is being recorded. I would now like to hand the conference over to your first speaker today, Scott Smith, Head of Investor Relations. Please go ahead. Good afternoon. Thank you for joining our fourth quarter and full year 2025 conference call. With me today is our CEO, Keyvan Mohajer, and our CFO, Nitesh Sharan. We will begin with some short remarks before moving to Q&A. We'd also like to remind everyone that we'll be making forward-looking statements on this call. Actual results could differ materially from those suggested by our forward-looking statements. Please refer to our filings with the SEC for a detailed discussion of the risks and uncertainties that could affect our business and for discussion statements that qualify as forward-looking statements. In addition, we may discuss certain non-GAAP measures. Please refer to today's press release for more detailed financial results and further details on the definitions, limitations and uses of those measures and reconciliations from GAAP to non-GAAP. Also note that the forward-looking statements on this call are based on information available to us as of today's date. We undertake no obligation to update any forward-looking statements except as required by law. Finally, this call is being audio webcast in its entirety on our investor relations website. An audio replay will be available following today's call. With that, I'd like to turn the call over to our CEO, Keyvan Mohajer. Please go ahead, Keyvan. Thank you, Scott, and thank you to everyone for joining the call today. 2025 was a record year for SoundHound, nearly doubling our revenue year-over-year. We also had a record fourth quarter. Revenue was up 59% while all key profit metrics improved. We broke another record in Q4. We signed over 100 customer deals, making it our biggest quarter yet. We won across different industries in a variety of regions. Just to name a few, we signed a new prominent automotive logo in Japan to use our AI assistant with a seven-digit unit commitment. In the U.S., we signed a multi-year deal with one of the largest telecommunications companies in the world to use our technology. We signed a multi-year global deal with one of the largest athletic shoes and apparel companies to power their AI customer service. We closed deals with healthcare providers, universities, insurance companies, financial institutions, e-commerce merchants, retail, military and many more. Our execution with channel partners was also exceptional, with multiple seven-figure deals in 2025. I'll dive into other business highlights specific to Q4 shortly, but first I wanted to touch on a few recent market dynamics. The power of AI is disrupting traditional software and services companies, and this is creating further tailwinds for SoundHound. In this inevitable AI transformation, companies need a partner like SoundHound to help them rapidly reinvent themselves. We partner with our customers to overcome their challenges and achieve their ambitions, creating incredible end user experiences for their employees and customers. With the exponential advances in AI, we believe we are entering a new era where companies with deep tech and data moats will create the most value. This makes SoundHound very well positioned with decades of deep tech innovation and data accumulation. SoundHound AI was founded with a mission to deliver voice and conversational AI experiences that are deeply integrated into user environments and deliver value where it matters most. This early vision now positions us perfectly for the agentic AI revolution we are seeing today. We believe our agentic platform is the only solution that is ready to be deployed across a multitude of vertical use cases and a huge and growing range of touch points and modalities from call centers to cars, robots, phones, apps, TVs and websites, all with a unified AI agent framework. This means that our customers can build an agent once and deploy it anywhere. At SoundHound, we offer the best models and innovation regardless of where they come from. We can give customers access to big tech models, emerging models, other third-party models, as well as SoundHound's own models that consistently outperform big tech players. With us, our customers will have access to the latest and greatest technologies as fast as they become available. Because of our deep expertise in conversational AI, we are able to optimize our own technologies to meet customer needs. This ranges from offering Polaris, our custom speech recognition foundation model, to our unique method of arbitrating the conversation across on device, cloud, on premise and even human augmented services. This combination of capabilities is the foundation of our unique and differentiated Agentic Plus network, which blends agentic, deterministic, and human assisted understanding, representing the full mix of what our customers want. In addition, SoundHound has a massive amount of data and has processed billions of interactions over the years across all major global languages, supported by having a physical presence in multiple markets and geographies. This allows us to compete and win against big tech while new players are faced with the traditional limitations of scale and reach we've long since overcome. With those considerations in mind, we believe SoundHound is the strongest bet in an ever-changing world of AI evolution. We recently previewed our agentic platform to public audiences and they were blown away. The Consumer Technology Association, the body that organizes CES, consistently called our tech as an example of one of the most exciting trends at the whole show. Our customers agree, and we are proud to navigate this exciting and dynamic period by their side. Here are some proof points as I highlight some of the many wins in this quarter alone. In automotive, besides the Japanese OEM previously mentioned, other notable customer wins include a new Korean OEM with a global footprint, an iconic Italian manufacturer of high performance luxury sports cars, as well as a Chinese and Vietnamese manufacturer. We also signed our first two-wheeler and have seen strong interest from at least six other OEMs. Stellantis also expanded further with the adoption of live generative AI capabilities for real-time responses, and we added an Italian commercial truck company which will offer SandHound voice assistant to its wide range of vehicles. We also signed a multi-year renewal with one of the largest American automobile manufacturers to deploy our enterprise AI solutions. In voice commerce, coming off a successful CES, we are seeing lots of momentum. Thanks to our deep penetration in restaurants, this highly anticipated solution is quickly advancing to go live in the U.S. with a prominent German automotive OEM. The list of engaged OEMs is growing rapidly, and we are now starting to see early signs of the flywheel effect taking shape. In January, we also unveiled our fully agentic voice platform for in-vehicle and on-TV commerce and showcased a leading smart TV manufacturer and a national pizza restaurant working together seamlessly. The solution is expected to go live later this year. We are quickly building out an ecosystem well beyond food ordering from the car or TV with Parkopedia and OpenTable partnerships announced in Q4, and further plans to extend to events and travel booking very soon. In restaurants, our voice insight solution is seeing high demand with a number of top 25 restaurant chains signing up to collect data for drive-through efficiency. Panda Express also expanded into dozens more locations while Casey's General Store agreed to a multi-year renewal and added smart answering to handle non-food ordering calls. We had franchise wins with both IHOP and Jersey Mike's. In retail and consumer goods, we signed one of the fastest growing global health clubs in the U.S. and a multi-hundred unit personal care company to adopt our outbound innovative automated solution for customer retention campaigns. For managing inbound calls, we signed two nonprofit organizations, one that has a large network of thrift stores and another one with a large number of fitness and health locations. In enterprise AI, we signed a record number of deals across various solutions and verticals, including in financial services, a New York-based global financial services platforms company, a large American multinational payment card services corporation, and BNP Paribas. In healthcare, an eyewear and optical retailer which operates or manages over 700 stores in 40 U.S. states, an independent healthcare practice that supports more than 1,300 locations in 45 states, and a Virginia-based healthcare and wellness services with over 80 healthcare facilities. In insurance, a Fortune 100 multinational insurance and asset management company headquartered in Germany, a global Japanese insurance company that has offices spread throughout the U.S., and one of the first motor clubs in the U.S. with more than 16 million members across 21 states. In government and education, a U.S. government-sponsored enterprise helping to make housing more accessible and affordable, a large Florida-based university to support their health system. Likewise, we signed on with a local government to a city in Florida. In hospitality, one of the world's leading providers of food and support services operating in over 25 countries, and an American ticket sales and distribution company with operations in over 35 countries around the world. In telecommunications, in addition to the large telco I mentioned previously, we signed a European telecommunications company that provides cable television, broadband internet, and fixed telephony, and a large British broadcast and telecommunications company. I mentioned some of the success we've had with large 7-figure deals in 2025 with our channel partners. In Q4, we continued to build out our ecosystem with the following partners. With one of the largest telecommunications companies in the world, we are adding Soundhound Agentic AI call center automation to SMBs in their large business marketplace. In addition, we partnered with Bridgepointe, which expands our enterprise AI adoption across their vast network, and a large customer experience management company providing services to approximately 150,000 businesses. We renewed our partnership with a global technology and a professional services company that delivers technology solutions and mission services to every major agency across the U.S. government and a large multinational professional services firm to provide our solutions to financial services firms across Spain. Importantly, our enterprise AI technology is making a difference and helping businesses tackle some of their biggest challenges. One large healthcare network reported that their AI agent, built on SoundHound's platform, now handles more than a third of all patient appointment scheduling, helping to unclog the system that gets patients what they need more quickly. This customer is already looking to expand our platform to tackle additional use cases like prescription refills and pharmacy inquiries. In a completely different industry, telecommunications, another customer reported a 20% reduction in the labor costs associated with billing disputes, thanks to AI agents that analyze invoices and execute adjustments. In auto insurance, our platform was able to help a customer increase containments by 10 percentage points with respect to very complex use cases in under 60 days. In short, we are seeing great traction because our technology is delivering real-world results. In closing, we had a record 2,025. This is happening because we are an AI-first company, and customers from a broad range of verticals are coming to us to automate their complex processes and make them more human-like to better serve their customers. We are leading the charge in a market disruption that is in the very early stages. We have a massive TAM, and we are poised to win. With that, I'll now turn the call over to Nitesh to talk about our financial performance, key growth drivers, and business outlook. Thank you, Keyvan, and good afternoon, everyone. Q4 was our strongest quarter, with $55.1 million in revenue, up 59% and improvements across all profit measures. For the full year, we delivered $169 million in revenue, up 99% versus the prior year, and up more than five-fold in the few years that we have been a public company. We achieved this record performance through our disruptive technology, breakthrough innovation, hyper-responsiveness to customers, and by scaling across our broadening enterprise portfolio. We operationalize this with cost discipline, driving a clear pathway to break-even profitability. The market momentum in our space continues to accelerate. Generative AI, agentic AI, and voice AI are now base-level customer requirements. Customer service is undergoing a once-in-a-generation disruption, and enterprises are clamoring for innovators like us to provide high customer engagement solutions to improve their top and bottom lines. From the beginning, we have built our business to deliver successful AI-driven outcomes, and our pricing architecture is purpose-built for that. In a world where seat-based pricing models are quickly becoming antiquated because of their deteriorating price-value equations, our agentic solutions seamlessly drive outcome-focused consumption and success rates that create economic incentives fully aligned with our customers. That's a sustainable model. It's a differentiated moat with our entrenchment deepening. Let me share some examples across our business. We have been growing the automotive install base for years, and our monthly active users continue to expand rapidly with Q4 growth in excess of 50% year-on-year. More notably, their query activity or usage continues to accelerate with Q4 audio queries up roughly 75% from the prior year. Note that this is only cloud-based queries. We also offer edge-based solutions that don't require Internet connectivity, so these volume metrics meaningfully understate the full auto customer engagement. The volume of queries we deliver in IoT and smart devices is even larger than the automotive base and also growing strongly. Our new voice commerce engine fits so well here, and the idea of ordering a pizza or a salad naturally via voice ordering on your TV while watching the Super Bowl or Olympics personally resonates with me. On that point, in restaurants, we continue to grow locations. What's even more directly impacting our revenue and our customers' business is order activity, which in Q4, we saw cross 9 million calls for the first time, up strong double digits from the prior year. That's a lot of meals from Chipotle, Casey's, and many others. In our enterprise business, our AI platform is delivering measurably better customer outcomes quarter after quarter. Containment rates hit record highs, now resolving the majority of inbound interactions without any human escalation and with certain containment levels even crossing 90%. Our automation intensity crossed a meaningful architectural threshold in Q4, chaining multiple targeted actions per customer engagement into fully autonomous resolutions. Our omni-channel, multimodal systems are driving better resolution rates, resulting in compounding returns per interaction. All this comes together in our comprehensive query volume, which now is in billions per month, up 12x since we went public. With that, let me discuss the fourth quarter financial results in more detail. Q4 revenue was $55.1 million, up 59% year-over-year. The growth was driven across multiple verticals. Our enterprise AI business performed particularly well in healthcare and financial services. We also saw strong year-over-year growth in our restaurant business as our automation rates continue to improve, integrations deepen, and customer adoption continues to expand at a healthy rate. In automotive, we continue to accelerate our Asia business and see traction in the world's fastest-growing markets. As Keyvan mentioned, we signed a new Japanese automotive OEM in Q4, and we had several deals in Asia in 2025 with commitments of millions of units. This broad-based expansion once again enabled us to realize strong customer diversification, with no customers contributing greater than 10% of our revenue for the quarter or full year. In Q4, our GAAP and non-GAAP gross margins were both up year-over-year. Our GAAP gross margin was 48% and adjusted for non-cash amortization of purchase intangibles and employee stock compensation, our non-GAAP gross margin was 61%. We continued to drive efficiencies by modernizing infrastructure, optimizing cloud spend, consolidating legacy systems, and improving the efficiency of our core platforms, such as shifting from third-party solutions to our own home-built ones. Our continued efforts to prune our portfolio of low-margin acquired contracts has been resulting in the sequential improvements in non-GAAP gross margin this year. We expect to continue focusing on profitable contracts and either adjusting or moving away from those that don't meet our minimum thresholds. That said, there are deals that have a clear near-term path to automation using our AI, and we will not hesitate to make the critical investments in them to build long-term sustainable, profitable returns. R&D expenses were $24.8 million in Q4, up 22% year-over-year, largely due to acquisitions and related headcount and development costs. We continue to invest in innovation to maintain our technological leadership. For example, we continued building our agentic AI solutions, leveraging our vast data to further improve our Polaris Foundation model, and are expanding our in-house real-time audio-to-audio and embedded vertical API integration into production environments. We also continue to differentiate across the entire voice AI stack, including via best-in-class text-to-speech built on modern architectures for differentiated speed, accuracy, prosody, and with code-switching multilingual capability for an increasingly diverse and integrated world. Sales and marketing expenses were $17.4 million in Q4, reflecting an 82% year-over-year increase, primarily driven by acquisitions. We continue to invest in go-to-market efforts via direct and indirect sales, as well as customer success to increase retention. In addition, we continue to elevate our brand and market presence to drive demand and lead generation. G&A expenses were $21.2 million in Q4, reflecting a 29% year-over-year increase, primarily driven by various legal, advisory, and other costs related to our acquisitions. We also continue to drive operational efficiencies throughout the organization and improve our global control environment. We had non-cash employee stock compensation of $20.8 million and depreciation and amortization, including the amortization of intangibles of $10 million in Q4, all of which are included in our GAAP results. Adjusted EBITDA was a loss of $7.4 million, an improvement of 56% year-over-year. GAAP net income of $40.1 million and GAAP net earnings per share of $0.10 were positively impacted by the change in fair value of contingent liabilities of approximately $85 million. This relates to the acquisitions we have completed and is a non-operating and non-cash expense, and primarily reflects the quarter-on-quarter fluctuation in our stock price. As such, this item has been excluded in our non-GAAP results. Non-GAAP net loss was $7.3 million, and non-GAAP net loss per share was $0.02 in the quarter. This adjusts for items such as non-cash depreciation and amortization, M&A transaction costs, and stock-based compensation. Our balance sheet remains strong, with cash and equivalents at quarter end of $248 million with no debt. With that, let me discuss our financial outlook. We are starting 2026 with strong momentum. As Keyvan mentioned, we broke a record in Q4 with over 100 customer deals across every industry we operate in. Our pipeline continues to build across several verticals. We have a strong foundational customer base to expand upon through full portfolio upsell and cross-sell, and we continue to aggressively release new agentic and voice AI capabilities to dramatically improve customer outcomes. With the greater scale achieved in 2025, we have increased visibility in the near term and expect to continue to grow rapidly over the long term. For 2026, we expect our revenue to be in a range of $225 million-$260 million. As in prior years, there will be a ramp in revenue through the year, given the nature of our customer base, underlying seasonality, and expected large deal timing, both for renewals and new deals. That said, we expect this seasonality to improve as our recurring mix of business continues to grow. Overall, this outlook affirms our expectation of another year of very strong growth. We remain committed to delivering accelerated growth while being mindful of the journey to profitability. Our strong cash position and debt-free balance sheet gives us the capacity to remain prudent in appropriately balancing growth with profit maximization. We will continue to drive scale through targeted investments. Last quarter, I mentioned that we see additional acquisition cost synergies of $20 million on an annualized basis, and in Q1, we have already executed most of that, the effect of which we expect to appear in future quarters. I also noted last quarter that we are entering our break-even phase after many years in heavy investment mode. This transition won't be linear or uniform. We expect it should be progressive and ultimately compounding. Our long-term expectation is that we can operate this business at scale with 70%+ gross margins and 30%+ EBIT margins. For the near term, though, we expect to calibrate the investments based on the opportunities in front of us and their expected returns, and we will continue to balance the importance of delivering profitability in the near term with fueling sustainable, profitable growth over the long term. With that, we will now move to Q&A. Thank you. At this time, we'll have the question and answer session. As a reminder, to ask a question, you'll need to press star one one on your telephone and wait for your name to be announced. To withdraw your question, please press star one one again. Please stand by while we compile our Q&A roster. Your first question comes from the line of Scott Buck from Wainwright Company. Your line is now open. Good afternoon, guys. Thanks for taking my questions. As we went through the 4Q highlights, clearly a lot of balls in the air. I'm curious, how are you handling from a deployment and customer service capacity standpoint? Are you starting to feel a little constrained? Thanks for the question. We are definitely doing a lot, and I've been saying for the past few quarters that this is the time for us to do more, partly because, yes, we are in many industries, but the ingredients we are using to power these experiences is the same. The decades of work we've done to build, you know, the best-in-class speech recognition, conversational AI, agentic orchestration, all of that is the same regardless of whether we are in automotive or if we are providing customer service for a healthcare company or insurance company. We are, because of the advances in AI, we are actually able to deploy faster, go live faster, develop faster, and we are able to keep up with the demands with, you know, fewer people and less resources. You know, demand is going up and what we need to do to deliver to these customers, the resources requirement is actually going down. We expect that to be a further tailwind for us. Great. That's helpful. I wanted to ask, you know, you called a number of renewals. Can you talk a little bit about any changes in pricing or upselling you're seeing as you go through the re-renewal process with customers? Yeah. In, we have customers that we've had for a while, for example, some of the automotive logos that we've had for a number of years. These renewals are actually an upsell moment because we bring them the Agentic solution. You know, the GenAI solution that we developed three years ago, that was an upsell moment. Now we have the Agentic solution, that's another upsell moment. It's basically renewal with a price increase and sometimes with a bigger volume commitment. We are seeing the same in customer service, again, especially with the customers we've had for a number of years. The Agentic platform that is an upgrade, partly it could come at a higher price, and for deals that are based on containment rates, we expect to generate more revenue because we contain more of the incoming calls. For example, if, you know, on the... I'm gonna use some numbers, but, you know, in the industry there's no, like, one number for containment rate because it depends on the use case. We've seen, you know, for example, in a use case a 30% containment go to, you know, 70%, 80%, sometimes over 90%. That means we handle more than 90% of the incoming calls without kicking to a human, and we get paid more as we contain more calls. Some of the increase in revenue is just gonna come from upgrading our existing customers to the agentic solution. Even without a renewal, and even without increasing the price, it's gonna generate more revenue for us. Great. That's very helpful. That's all I had, guys. I appreciate it and, congrats on the quarter. Thank you. Thanks, Scott. Thank you. Your next question comes from the line of Brian Schwartz with Oppenheimer. Your line is now open. Yeah, hi. Thanks for taking my questions this afternoon. Congratulations on a very good year. Keyvan, I wanted to start with you and, you know, your enterprise AI business clearly has strong momentum, especially in the higher regulated industries that you pointed out. You're building deeper entrenchment. You know, but in the market, certainly over the last like three, four, five months, there's been a lot of fear about software companies' long-term growth, that these larger LLM providers are gonna be able to just build workflows above software companies' platforms and bypass them and it's gonna be much more challenging for companies to grow. I was hoping you could address that, how you see the durability of the enterprise AI business as we enter this agentic era. I have a follow-up for Nitesh. Sure. That's a great question. I think there are two flavors of that question. One is what's happening to software and services companies. Not necessarily SoundHound. That has been a tailwind for us for the past 3-plus years because of GenAI. The concept of that is there's automation is coming, and that is going to disrupt services companies and SaaS companies. Everything's gonna get automated and more and more automated. That's not a new thing. We've been benefiting from that for three years and these companies that want to automate basically come to SoundHound to help them automate. There is maybe a second flavor of that question, which is what happens to companies like SoundHound with the latest advances in AI where, you know, software development is becoming easier. We think of that as another tailwind. You know, a really good analogy that has resonated with me is, you know, imagine the internet companies when we had connections with dial-up modems. You know, good internet companies were there and they were delivering their websites to their visitors. Then dial-up modem went-- became broadband internet, so bandwidths went up in orders of magnitude. That was a great thing for internet companies. Some didn't maybe reinvent themselves quickly, but the services that these internet companies could provide became a lot more richer and powerful. We feel the same way, that we can move faster. Like the earlier question that was asked. You know, we have so many customers, how quickly can we deliver? We use AI to build AI to deliver to the customers that want AI. We think that pace is going to be better for us, the quality is gonna be higher because we are utilizing these advances in AI. Thank you. I just wanted to ask you that question, Keyvan, 'cause you're such a pioneer in terms of technology in this industry. I appreciate you sharing your perspective. The question I have for Natasha is just thinking about how you're thinking about planning the progression of the efficiency of the business. So maybe asking it in terms of the operating profile here in 2026. Clearly, the business is accelerating. I think you're gaining efficiency in your development as Keyvan talked about, with your own agentic and AI. How do you think about the rest of the investment profile? You know, are you looking to accelerate your investments? Are you looking to keep your margin stable where they are today? Are you looking to show improvement in terms of the efficiency and the EBITDA margin 2026? Thank you. Thanks, Brian. I'll take that from a couple of different angles. First, with respect to continuing that AI efficiency play, I think there's a multitude of ways that that plays out here. Number 1, our efficiency in product development is better. Certainly, we're seeing that. I think our efficiency in deployment and delivery is better. We're seeing that. Then even just operationally, we're all, you know, across the company utilizing tools that may not be core to what SoundHound develops. Certainly in my G&A function, there's definitely a number of areas that we're driving efficiencies, and I think that's a responsibility that all of us take to leverage the latest and greatest to be responsible with our costs. Number 2 to your question on just the profile. I'll go back to my prepared remarks a little bit. We are now shifting, you know, from an era, I'd say from the origins of SoundHound of where we were heavily investing primarily in our innovation, but maybe more recently in building up the go-to-market capabilities, to now this era of break even. You know, we're not trying to be super precise on one quarter delivering one specific number, but more importantly, we start with the premise that we are in the very early innings of massive transformational shift, whether that's the LLM-driven capabilities that we're seeing with these amazing engines to the voice AI era of how we're able to engage with consumers and customers in really unique, more efficient, seamless ways to get all sorts of transactions done or, obviously now to Agentic and how we can deliver great platforms and capabilities to enhance customer capabilities and solutions predominantly, I think, for us in the customer service space, and rewrite how those traditional sort of ways that people get their billing inquiries resolved or they book travel or they order food or whatnot, or get healthcare appointments, all that's getting rewritten, and we're just in the early innings of it. We need to be focused because we know that the outsized returns are there for us to go after. We're gonna keep fueling in getting the hypergrowth that we've been delivering over the last couple of years. It's our view that that level of growth very strong growth, you know, should continue for the foreseeable future. With that, you know, to every incremental dollar point, that should go into fueling growth, but we need to be mindful that we're gonna do it efficiently. To your point, as we continue to scale, we absolutely expect efficiencies on our operating leverage. I think from an EBITDA basis, you know, we'll continue to see year-over-year improvements in EBITDA. We'll continue to see leverage on the P&L. I think our R&D in particular, I think we'll be able to drive efficiencies. I think it's a matter of go to market kind of We are investing both in direct and indirect channel. I think, you know, the indirect channel has been great for us. We highlighted it briefly in the prepared remarks of just the additional scale we can get through indirect channel partners. Across R&D, across sales and marketing, and across G&A, we think there's efficiency and ultimately that'll land towards what I characterized in the prepared remarks as us moving into this era of break-even zone. Thank you for taking my questions. Thank you, Brian. Thank you. Thank you. Your next question comes from the line of Gil Luria with D.A. Davidson. Your line is now open. Great. This is Lucky on for Gil Luria. Thanks for taking the questions. You know, you guys have pretty strong traction, it sounds like, with auto OEMs, especially on net new in the quarter, despite, you know, previous headwinds from tariffs impacting that industry. I guess, is there anything to call out as to why, you know, you had particularly prominent success in that vertical this quarter? Yeah. It's actually was a great year in automotive for us. Earlier in the year, we closed with a big Chinese OEM, also with multiple millions of units committed. We had a robot maker in China, and then we had more deals in India. We're very proud that we have won a prominent logo in Japan. I think it's because of the great solutions we've created. We've been in automotive for a number of years. We are well known for having, you know, best solution, and we partner with our customers to, you know, achieve their vision and ambition. Our pillar three vision is paying off. It's the, you know, we predicted a flywheel effect from pillar three. To summarize it quickly, you know, we power cars and TVs and devices in pillar one, and then we power customer service for merchants in pillar two, and then we connect them in pillar three together. While you're driving, you can order coffee, you can book appointments, you can reserve tables. That's a monetizable moment. We call it the voice commerce. Just the concept of being able to deliver value to the drivers while generating revenue for us and share that revenue with the OEM is creating a flywheel for us. A lot of OEMs are choosing to work with us. The combination of, you know, being a great partner, having the best technology, and the concept of monetization with our agentic AI in the cars. Hopefully, Lucky, you're also noticing that, you know, we're seeing this growth in the fastest-growing markets too. Oftentimes in the fastest-growing markets, it's sort of where they want the best-of-breed technology, and I think that's what's playing out here as well. I think that makes a lot of sense. Maybe the last question from me. You know, as you enter your next phase of growth here, you touched on it already, but can you kind of stack rank the top investment priorities to capture the opportunity in front of you? Any update on your M&A strategy in light of the broad decline in valuations across software here recently? Yeah, maybe I'll take some of it, and Nitesh can add. Our agentic platform is an area we are heavily investing in. It delivers a much better user experience, it has a higher containment rate. The latest version of our platform, it uses AI to create AI. A lot of the experiences that it used to take us, maybe a large team of developers, you know, weeks and months to deliver, you just tell it what you need to do, and it just does it for you. That is going to allow us to move faster, deliver better quality, have a higher containment rate, win more customers. That's one area of focus for us, and that is going to be everywhere. It's gonna be in automotive, it's gonna be in customer service, pillar one, pillar two, pillar three. The next area that I would highlight is voice commerce. We've been, it's a vision that we pioneered. We are ahead of others in this space. It's a great idea, but it will take time for people to catch up because we have the largest number of merchants that are using our voice AI, like we are the largest number of restaurants, and we have a huge footprint in cars and TVs and devices. We are in a very good position to bring this to market. Yeah, I can add on the M&A part of your question. I think two years in, I'll just say I think the M&A approach we're taking seems right to us. I think we'll keep being mindful about what's in the marketplace and potential partnerships, being aware of opportunities to combine. You know, so far they've been companies that have had really amazing customer relationships we've been able to harness together and bring our innovation jointly to expand those relationships, use some of those landing points to expand broader in the relevant industries. I think we'll continue to seek some of those opportunities. The because we've done a few, I'd say there's a lot more inbound also interest. We have a pretty strict and disciplined formula or methodology we go through in assessing if one may make sense, and we'll just keep that discipline. You know, there's plenty that we look at that don't make sense for us, and I think we put a lot of scrutiny into when it might. Again, since things are moving really fast, we've said before, and I'll just repeat that, you know, we know we could do a lot of good things with what we've built here, but we don't wanna be insular, we wanna be aware of all the great things and partnerships that we can build. I think M&A, certainly thinking out the next few years, will continue to be a really important part of our muscle. Makes a lot of sense. Appreciate the color there. Thanks for taking my questions. Thanks, Lucky. Thank you. Your next question comes from the line of Mike Latimore with Northland Capital Markets. Your line is now open. Hey, hi, this is Vijay Devar for Mike Latimore. A couple of questions. One, how many Amelia customers are live on your agentic AI version 7.3 and are likely to go live this year? Yeah. Hey, Vijay. We said last time, and I think we're just continuing to make progress, that we had early last year the sort of early adopter program where we piloted with, I think at the time we said 15 or so customers, and that ramped through the summer. We've been on this pathway of migration where we assumed we kind of are on pathway to get the majority, vast majority, I think over 75% migrated over by the middle of this year. We're continuing to be on that pathway, making incremental progress, every quarter that we go by, and we continue to see that in Q4, and we're already continuing to see acceleration in Q1. One of the good things with our new agentic platform that we highlighted at the Consumer Electronics Show that we talked about in the prepared remarks is, you know, that's something that we're getting a lot of early traction from customers on. I'd say that I'd channel our head of sales there in saying that the customer feedback has been superb. One of the great things we've been trying to deploy is sort of automated migration paths to allow people to migrate from prior version to Amelia seven three onto the new version that we're rolling out. We are excited that our migration path, and especially going back to one of the earlier questions about the efficiency now with delivery and AI and what it's allowing us, it is allowing for more rapid migration patterns. Got it. When the customer moves to 7.3, is there incremental revenue to SoundHound AI? Yeah. As I mentioned, just a pure higher containment rate is expected to increase our revenue. In, you know, in many of our deals we get paid when we successfully avoid a caller to go to a human. By going to agentic, we've seen, you know, just as example numbers going from like a 30% containment to over 90% containment. In some cases, we also get paid more for the upgrading to agentic, so it's a mix of both, but either way it's directionally positive for revenue. The other thing we've seen with, the recent versions is sort of, interactions that previously fell outside or would have to get escalated or things we can capture now at much greater rate. All of that is incremental revenue for us. Perfect. Thank you. Thank you. Thank you. As a reminder, to ask a question, please press star one one on your telephone and wait for your name to be announced. Your next question comes from the line of James Fish with Piper Sandler. Your line is now open. Hey, guys. Appreciate the time here. Just on the, on the CX side of things, how is Amelia effectively winning new customers versus, you know, the contact center pure plays, the CRM offerings and even some of the other standalone AI solutions out there. Really what's making them different that's resonating with customers? Then I've got a follow-up. Yeah. First of all, SoundHound AI, you know, with the acquisitions we've made, we are a combination of teams and companies with several decades of collective experience in customer service. We've been at this for a long time. We have deep technology, and we have data. We are also very deep in a lot of these industries like healthcare, insurance, banking, and so on. You know, the reputation, the experience, the relationships all help us. If you zoom out, this might answer an earlier question that maybe I didn't quite answer from Scott was, if a customer chooses to work with a big tech, that's a very high risk decision because when you choose a company like Google or OpenAI as your vendor, and by the way, these companies are not really deep into customer service. They provide tools for others like SoundHound. If they just go deep with one big tech, they are going to miss out on innovations that might come out of other big tech. If you're, for example, you're betting on Google models, and then if OpenAI creates an ecosystem that benefits the world, you might miss out on it or vice versa. SoundHound provides our philosophy is we provide the best tech-technology, the best models to our customers no matter where it comes from. Most of the time it comes from us 'cause we have our own models that we've created over a long period of time with a lot of data, and we compare it with the big tech models, and we beat them in accuracy, speed and cost. But if for some edge cases or use cases or scenarios a big tech model is better, we bring it to our platform, and we use it for our customers. By choosing SoundHound, they are more guaranteed to get the best as soon as it becomes available, no matter where it comes from. Versus when they bid on a big tech, it's a very expensive risk. Beyond the big tech, there are some new players. Most of those are maybe two years old. Some are doing better than others. The way we think about them, they are LEGO players. They, because of the nature of how old they are, you know, one or two years, they don't have their own tech, so they are scrambling and building, you know, getting one API from for speech recognition from one source and then for text-to-speech from another source for LLMs from another source. They are basically putting it together like Legos, and they're only at it for a couple of years. That puts SoundHound at a much bigger advantage because we've been at this for, again, decades. We have our own models, and we have proven success in enterprise. You know, we are in 7 of the top 10 banks. We process billions of queries. You know, in terms of quality of service and the reputation, we are in a very good position. Maybe I can add one thing, Jim, and I said this in the prepared remarks, but it's salient to your question. I think fundamentally legacy, this goes back to the earlier question on, I think for Brian on disruption in software. In models that were built, seat-based pricing, that value was on let's get more users using our tool, and it wasn't as directly tied to customer outcomes. That is at risk because the tools are getting so good, and we're building those. Our solutions are directly, our economic model, our pricing model is directly tied to customers to you know, achieving or seeing real value. Did a prescription get refilled? Did appointment get booked? Did, you know, food get ordered? So I think just architecturally we're better to Keyvan's point. I'd say also the economic incentive alignment is also an advantage for us. Got a very, very detailed answer, guys. Appreciate that. Maybe a question for you. I'm getting it asked here after hours, just to hammer home a fine point. Is there much-Further M&A included in the annual guide? Obviously, you guys have a ton of opportunity. You guys have a strategic sense of doing acquisitions and folding them in. Just trying to understand if there's further M&A contemplated in guide. Given the environment, there's a lot of sensitivity to stock-based comp. You guys are a bit of an outlier here, I guess. How are you handling your stock comp going forward and the dilution we've seen historically? Thanks, guys. Sure. Thanks, Jim. For the first part of that, to be very direct, no. Our guidance does not contemplate, you know, M&A that we haven't done or, you know, that is not baked into the outlook. Our outlook reflects the base of business, the pipeline of deals we have in motion, the existing customer activity that's recurring, and we're upselling and expanding, and that's what's reflected in the outlook range. As I mentioned in an earlier call, certainly there are M&A ideas out there and conversations we have from time to time and inbounds we receive that if they happen, you know, we will. If they're meaningful and material, and we need to update an outlook, we will certainly do that like we have in the past. Your second question on stock-based comp. Yeah. I'll start with this general point at SoundHound, which I think a lot of us internally have a lot of pride around, and I give all credit to Keyvan and the culture he's built. Like, this is a company where we want all employees to participate in the full contribution. We do distribute equity to our entire company, and I don't think that's the same as every other company. So we feel pride because everybody here is an owner. We've also seen historically a lot of volatility that makes in some of the math on our P&L, especially with the acquisitions, you get mark-to-market activity that when you have a stock that's so volatile, you'll distribute a grant. By the time it gets valued for P&L purposes, it's at $20, and then that amortizes over 4 years. That is something that's a little different because we're such a high vol stock. I take the general element of your question. We do think of the economic impact, certainly of dilution and certainly of where, you know, stock comp fits in our overall compensation profile. We wanna be competitive. We wanna attract all the right talent and make sure we have the right people. To an earlier question, though, we are always vigilantly looking at our cost structure and can we do things more efficiently. We have historically, you know, taken cost actions, including to our people, when we needed to. I'm mindful of the element of your question. I think we do try to be equitable in our distribution of stock comp. We are mindful of the dilution impact. We are mindful to your point on, you know, it is probably a higher% of revenue than you might see elsewhere. I think as we scale, you will see that normalize certainly, as you will with some of the other operating lines. Again, I'll close with what I started with, which is I think we generally do feel a sense of pride that we do distribute equity to everybody at this company, and that makes us all combined owners in the outcome and success of what we build. Thanks, guys. Thanks, Jim. Thank you. I'm showing no further questions at this time. Thank you for your participation in today's conference. This does conclude the program, and you may now disconnect.