AI NewsExclusive: Runway launches $10M fund, Builders program to support early stage AI startups

Exclusive: Runway launches $10M fund, Builders program to support early stage AI startups

9:33 PM IST · March 31, 2026

Exclusive: Runway launches $10M fund, Builders program to support early stage AI startups

Runway is moving beyond buildingAI video modelsand into shaping what gets built on top of them. The AI video generation startup has launched a $10 million venture fund to invest in early-stage companies building across AI, media, and world simulation, the company’s founders told TechCrunch. It’s also rolling out a Builders program offering seed to series C startups free API credits, a move that suggests Runway wants to create an ecosystem around what it calls “video intelligence.” Runway has become one of the leading players in AI video generation, with its tools used across film, advertising, and marketing. But with thelaunch of its “general world models”last December, the company is now pushing beyond creative tooling into broader applications. And it’s looking to tap startups as a way to explore use cases it can’t pursue alone. “We think that through video, we’re going to get to video intelligence, and it’s going to open a wider set of use cases in different industries that we can’t double down on today, but that maybe we can support with our research,” Alejandro Matamala-Ortiz, Runway’s co-founder and chief innovation officer, told TechCrunch. Runway’s thesis for the fund is divided into three buckets: For the past year and a half, Runway has quietly backed a handful of early-stage founders and companies, Matamala-Ortiz said. Those includeLanceDB, which builds databases for AI applications, andTamarind Bio, which uses AI to design new proteins for drug discovery. Some startups, like real-time audio generation firmCartesia, are working on products that complement its own. “The next generation of AI models will be built on multimodal data – video, audio, images, text together,” Chang She, co-founder and CEO of LanceDB, told TechCrunch in a statement. “LanceDB is building the infrastructure layer that makes that possible, and Runway is one of the few investors who understands why that matters.” Runway has raised close to $860 million to date from backers like Nvidia and Qatar Investment Authority, and is valued at around$5.3 billion post-money. It seeded the $10 million fund with existing investors and close partners, with plans to write checks of up to $500,000 for pre-seed and seed-stage startups. Runway isn’t the only AI startup that’s turning around to invest in companies just starting out on their journeys. OpenAI is the OG with its Startup Fund, and AI search startup Perplexity launched its own$50 million venture fundlast year for seed-stage startups. CoreWeave also launchedCoreWeave Venturesin September to back AI companies. “Many companies like ours are investing heavily on the primitives that will unlock a new set of applications or new types of companies,” Matamala-Ortiz said. “Companies like ours that are still fairly small with only 150 people can’t focus on everything. But we do see opportunities in partnering very early with new teams that can benefit from what we’re doing.” That same philosophy is what is driving Runway’s new program for builders. Eligible early-stage startups can startapplyingfor the program to get 500,000 API credits and access toCharacters, Runway’s recently released real-time video agent API that’s powered by its new family of general world models. Characters lets users interact with generative AI agents in real time, giving them a face and a voice that can range from cartoonish to photorealistic. The Builders program is designed, in part, to see what startups build with the technology. “Until [recently], we didn’t have the possibilities of talking to a real-time video agent, so we are really trying to see which teams see the potential and positive impacts of this technology,” Matamala-Ortiz said. The program is already live, with a founding cohort that includes Cartesia, MSCHF, Oasys Health, Spara, Subject, and Supersonik. They’re using Characters to power things like AI customer support agents, interactive brand characters, personalized onboarding experiences, real-time sales assistants, and synthetic media tools. Matamala-Ortiz said he’s excited about the potential for telemedicine and education. And since entertainment is Runway’s bread and butter, Matamala-Ortiz said he expects Characters to be used in gaming and new kinds of entertainment experiences. “This is part of our general world models, which is what we’re pushing for next: a set of models that are interactive, real-time, and immersive,” Matamala-Ortiz said. “When you start combining all of these pieces, you can imagine that you will be able to generate and simulate entire environments, and participate and have conversations with the characters in these worlds.” Other startups likeInworldandCharismaare also building interactive AI characters for games and storytelling, while companies likeStoReelare experimenting with AI-generated shows users can engage with directly. Some, likeCharacter AI, are already popular for their AI characters you can talk to. “We do really believe that there’s a new kind of internet that’s going to be more personalized, more immersive, and in real-time,” Matamala-Ortiz said. Correction: An earlier version of this article misstated the title and surname of Alejandro Matamala-Ortiz. He is the Chief Innovation Officer, not the Chief Design Officer. Additionally, his last name is hyphenated; he should be referred to as Matamala-Ortiz, not Ortiz.

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We’re feeling cynical about xAI’s big deal with Anthropic

We’re feeling cynical about xAI’s big deal with Anthropic

Anthropic and xAIannounced a big partnershipthis week, with Anthropic buying all the compute capacity at xAI’s Colossus 1 data center in Tennessee. On the latest episode ofTechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I discussed what the deal might mean for xAI’s parent company SpaceX, as SpaceX prepares to go public andapparently plans to dissolve xAIas a separate organization. Kirsten did her best to offer “a positive view” on the partnership — after all, it’s a new way for xAI to make money. But she also noted that this also suggests xAI isn’t doing much when it comes to training its own frontier AI models, and it’s harder for the company to position itself as a “forward-looking, innovative” business when that’s the case. Then Sean asked: “Why be positive when you can be cynical?” In his view, this seems like “a major heat check before the IPO.” Yes,becoming a neocloudmight be “a more believable business in the near term,” but it’s less likely to get outside investors excited in the long term. (And then there’sthe environmental lawsuitthat xAI is facing over Colossus 1.) Keep reading for a preview of our conversation, edited for length and clarity. Sean O’Kane:I always love a surprise, especially when everybody’s eyes [are] on another ball,a major trialthat’s happening. Seemingly out of nowhere this week, SpaceX and therefore its AI subsidiary xAI — which apparently no longer exists now, or is imminently not about to exist, which we can get to — struck a deal with Anthropic. Basically, the real version of the deal is that Anthropic’s essentially taking over all of the compute at the data center known as Colossus 1 in Memphis, Tennessee, to focus on Anthropic’s more enterprise-focused AI products. There’s been a lot of reporting about how [Anthropic’s] been looking for more compute […] and it seems like an escape valve for them to be able to strike this deal and get access to all this compute. In the near term, for xAI and for SpaceX, yes, they are a neocloud now, in the sense that they had to do something with all this compute that they were building, because it certainly seems like they were not going to need it for Grok — which, outside of X, is not burning up the world as far as becoming the new hot consumer chat bot. Kirsten Korosec:And we should say that in terms of what a neocloud is, for those who don’t know, this is the idea of buying GPUs from Nvidia and the like, and renting those out as opposed to using those for their own AI, training their own AI models. So this is a different kind of business, andthe point that our AI editor, Russell Brandom, makesis that a lot of companies are building out data centers, but if given a choice between, do they rent them out [or using them to train their own models], they are still prioritizing using this compute for their own internal AI model training. I think that’s an important point and one that suggests that maybe xAI isn’t doing so much on the AI model training [side] Anthony Ha:Right, and as Sean was alluding to, most people would not necessarily think of Grok as — not only that it’s known for some pretty unpleasant, if notdownright illegal, content, but also it’s not necessarily super cutting edge. Especially if we start talking about enterprise AI, which I know we’re gonna be getting into later in this episode, you don’t hear a lot about people using Grok for work-critical tasks. And so the question becomes: How can xAI actually make money? And apparently just selling the infrastructure could be one of the main ways to do it. Kirsten:And you could take a positive view on that, right? They figured out a way to make money. But I think that when you are positioning your company — in this case, SpaceX-slash-xAI — as a forward-looking, innovative company, that’s tougher to sell if you are simply just renting out your GPUs and not using them for that innovation. Sean:But why be positive when you can be cynical? Which is to say that this seems like a major heat check before the IPO that we’re about to see get rammed into the markets with SpaceX. Anthony, you mentioned not only is Grok not being used for big enterprise tasks, there’s been reporting that xAI employees wereusing other models, they weren’t even using [Grok] internally, and that caused this big shakeup inside of xAI, postacquisition from SpaceX, that involved essentiallyall the co-founders leaving other than Elon Musk, [and] him basically saying he’s starting from scratch on xAI, despite the fact that SpaceX paid $250 billion for it in the run up to this mega-IPO. And now he’s saying thatthey’re going to dissolve xAIas a separate entity inside SpaceX altogether. He’s starting to call the whole thing SpaceXAI, because this man loves nothing but to ruin a brand that has some value to it — see Twitter. This may be a more believable business in the near term, and so on some level, I could see this being maybe more attractive to investors come IPO time, because it’s like a bit more reliable and certainly more real than them being a frontier lab developer. But it’s also not the kind of business that’s going to draw the same — at least, in a normal environment — outside investment that we’re seeing go into all the frontier labs. That’s maybe one of the biggest tension points we’ve seen develop during this IPO process. Loading the player…

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‘We Have Swarms of Agents’: Yasmeen Ahmad on Google’s Future of Enterprise AI

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How to Use Netflix's New AI Voice Search Feature: A Step-by-Step Guide

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Netflix recently began rolling out a new way for viewers to search for shows and movies on its platform. While we can search for content online via voice dictation, it merely presents results based on keywords. However, the new native AI-based voice search tool will provide contextual search results, taking the intent of the user's query into account. Currently available to a small set of users in beta, the content streaming company is asking users to test the new functionality and provide feedback on how it can be refined, while also pointing out the bugs and issues. The company has yet to announce when the stable version of the AI search tool will be rolled out to a wider global user base.

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Voice AI in India is hard. Wispr Flow is betting on it anyway.

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India’s internet users already rely heavily on voice notes, voice search, and multilingual messaging. Turning those habits into a scalable AI business, however, remains difficult because of the country’s linguistic complexity, mixed-language usage, and uneven monetization patterns.Wispr Flowis betting the opportunity is worth the challenge. The Bay Area-headquartered startup, which builds AI-powered voice input software, says India is now its fastest-growing market, even though voice-based AI products remain early and fragmented in the South Asian nation. That growth has pushed Wispr Flow to expand more aggressively for Indian users,beginning with Hinglish— a hybrid mix of Hindi and English commonly spoken by locals. The startup is also planning broader multilingual voice support, a local hiring push, and, eventually, lower pricing as it looks to expand beyond white-collar users and into Indian households. Earlier waves of voice technology in India —from digital assistantstoWhatsApp voice notes— largely revolved around convenience. AI startups such as Wispr Flow are now betting that generative AI can turn those habits into a broader computing layer. To make the product more relevant for Indian users, Wispr Flow began beta testing a Hinglish voice model earlier this year andlaunched on Android— India’sdominant mobile operating system— after initially debuting on Mac and Windows beforeexpanding to iOSin 2025. Co-founder and CEO Tanay Kothari told TechCrunch that the startup initially saw adoption in India largely among white-collar professionals such as managers and engineers, but it’s increasingly seeing broader usage patterns emerge, including among students and older users being onboarded by younger family members. India has emerged as Wispr Flow’s second-largest market after the U.S. in terms of both users and revenue, Kothari said, with growth accelerating following the startup’s recent India-focused push. The startup has seen faster growth following the rollout of Hinglish support, benefiting from the widespread habit among Indian users of mixing Hindi and English in everyday conversations, particularly as users began expanding beyond work-focused use cases into more personal communication. “The biggest thing is people are starting to use it more in personal apps,” Kothari said, pointing to messaging platforms such as WhatsApp and social media apps where users frequently switch between Hindi and English while speaking. Wispr Flow, Kothari said, was growing about 60% month over month in India earlier this year, but growth accelerated to around 100% following its recent India launch campaign. The startup last month rolled out abroader marketing pushin the country, including a launch video from Kothari and offline campaigns in Bengaluru aimed at introducing the product to more mainstream users. Kothari told TechCrunch that Wispr Flow plans to expand its multilingual voice support over the next 12 months, allowing users to switch between English and other Indian languages beyond Hindi while speaking. In December, the startupintroduced India-specific pricingat ₹320 (around $3.4) per month for annual plans, significantly lower than its standard $12 monthly pricing globally. 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