Netflix paid $587M for Ben Affleck’s AI filmmaking startup

Elon Musk’s tunneling startup The Boring Company is in talks to raise a $4 billion funding round at a valuation of $20 billion, according to The Wall Street Journal. The deal hasn’t closed and the terms could change, the WSJ says. At $20 billion, the valuation would be a significant increase from The Boring Company’s $5.7 billion valuation in 2022. The startup has already built a network of tunnels under Las Vegas, through which Teslas shuttle customers to different stations. But tunnel workers have suffered serious injuries, and Nevada regulators said last year that The Boring Company violated environmental regulations nearly 800 times. The Boring Company has announced plans to build tunnel networks under Nashville and Dubai. The WSJ says the startup has also pitched projects in Baltimore, Chicago, and Los Angeles. The startup spun out of SpaceX in 2018. SpaceX recently had the largest IPO ever, but its stock price has taken a significant dip since then.

Prediction market Kalshi sent Netflix a cease-and-desist letter on Friday demanding that the streaming service take down the trailer for an upcoming documentary. In the letter, Kalshi claimed the trailer is “defamatory” and contains “both fabricated documents and false and misleading statements.” “Instadocs: The Prediction Games” is a documentary about the rise of prediction markets. According to Netflix, the film — part of the streamer’s “Instadoc” series of fast-turnaround documentaries — features interviews with both Polymarket CEO Shayne Coplan and Kalshi CEO Tarek Mansour. The trailer, however, focuses on a recent party in Las Vegas, where men who have “made millions of dollars on prediction markets, probably eight figures, just over the course of the World Cup” have gathered to watch the World Cup final. One of the guests declares, “I like betting on Kalshi,” while another shows off an apparent $5,000 bet on their phone. However, Kalshi is currently banned from operating in Nevada due to a court order. In its cease-and-desist letter, Kalshi said the bet shown on the phone is actually a screenshot of a bet made on May 16, 2025 — long before the ban. But the company argued that in the trailer, Netflix “misled its millions of customers into believing this individual was able to successfully trade sport event contracts in Nevada on July 19, 2026.” In its letter, Kalshi also said that it recently spoke to a Netflix employee who “agreed not to feature the receipt in the documentary when it is released” on Sunday, July 26. “However — despite Kalshi demonstrating to this employee that the claims in the video were demonstrably false — Netflix inexplicably refused to remove the receipt from the trailer currently circulating on the homepage of the Netflix app,” the company said. Netflix doesn’t dispute that the screenshot is of a bet from 2025, but a spokesperson told The Hollywood Reporter that none of the documentary footage was fabricated. “The footage was filmed at the Winible World Cup Watch Weekend in Las Vegas on July 17, 2026,” the spokesperson said. “The featured trader with the trade on Spain showed us a screenshot of his bet, that was made in May 2025 prior to any Nevada court order. Any specific trades or bets referenced during that weekend are between the individual and the app in which they placed the trades.” When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence. Anthony Ha is TechCrunch’s weekend editor. Previously, he worked as a tech reporter at Adweek, a senior editor at VentureBeat, a local government reporter at the Hollister Free Lance, and vice president of content at a VC firm. He lives in New York City. You can contact or verify outreach from Anthony by emailing anthony.ha@techcrunch.com. View Bio

Prentis, a new AI research lab focused on computer use models, co-founded by serial entrepreneur Ritankar Das, and tech heavyweights Reid Hoffman and Marc Pincus, is in talks to raise $100 million at a $1 billion valuation, according to two people familiar with the discussions. Launched in April, Prentis is training models to learn how office workers navigate routine workflows across documents and systems, with the goal of building AI agents that can control computers to automate those tasks. Prentis will ostensibly develop agents tailored to these customers’ needs, such as handling insurance claims and automating customs duty refund exceptions without needing a human to hunt down paperwork. The startup has already signed contracts worth up to $50 million with several customers, including healthcare management service organization, a manufacturer, and goods and clothing manufactures, the two people familiar with the discussions tell TechCrunch, echoing investor materials obtained by TechCrunch that predict an estimated $75 million annualized run rate by the third quarter of this year. (Prentis’s pitch deck notes those figures reflect estimated annualized value based on a contracted fee equal to 20% of savings realized, not recognized revenue, and are “performance-dependent and subject to final execution.”) By its own account, Prentis says its Hive-32B model outperforms rivals, including OpenAI’s GPT-5.4 and Anthropic’s Claude Opus 4.6, on two computer-use benchmarks: WindowsAgentArena, which measures end-to-end task completion on real Windows applications; and ScreenSpot-v2, which tests a model’s ability to locate the right on-screen control. In its pitch deck, the company argues its edge comes from running a much smaller, cheaper model. In fact, it claims roughly 10 times lower cost per task than frontier APIs, saying it’s more economical to deploy across everyday workflows. TechCrunch hasn’t independently verified the company’s benchmark results. The startup is betting that automating everyday office tasks will soon outpace coding as AI’s biggest use case, but it’s a crowded market. Anthropic, Open AI, and Mira Murati’s Thinking Machines are also working on developing AI agents for computer use, one of sources said. Anthropic has also been acquiring talent in the category directly — it bought the Seattle computer-use startup Vercept earlier this year, folding in its founders and shutting down its product. Prentis didn’t respond to TechCrunch’s request for comment. Ritankar Das, CEO of Prantis, is also the founder of Titan, a holding company that builds and operates AI companies. Das, now 31, was UC Berkeley’s youngest University Medalist in more than a century, graduating at 18 with a double major in bioengineering and chemical biology before earning a master’s in biomedical engineering at Oxford. He founded Titan in 2014 after dropping out of an AI PhD program at Cambridge, where he’d been a Gates Cambridge Scholar. Das has described Titan as an intentional throwback to an old-fashioned holding-company model like Berkshire Hathaway, one that’s funded by its own exits rather than outside limited partners. Other businesses launched and operated by Titan include AI-powered virtual care provider Tala Health, which raised a $100 million seed round last year, and Forta Health, an autism care startup that raised $55 million led by Insight Partners in 2024. Titan-founded disease prediction company Dascena was acquired by CirrusDx in 2022. Prentis is a side project of sorts for its two other co-founders. Hoffman, the LinkedIn co-founder and Greylock partner, said last month that he was stepping down from Microsoft’s board after nearly a decade to go “founder mode” on Manas AI, an AI drug-discovery startup he’s also backing; he was an early OpenAI investor and co-founded Inflection AI with Mustafa Suleyman before Microsoft absorbed most of that team in 2024. Pincus, the Zynga founder, now runs the investment firm Reinvent

Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth as a unicorn, betting that artificial intelligence is reshaping how enterprises secure employee devices. The Palo Alto-headquartered startup on Wednesday said it raised $180 million in an all-equity Series A funding round that valued it at $1.2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The investment made Glow one of the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics. As more enterprises deploy AI tools and attackers increasingly use generative AI to automate phishing, develop malware, and launch more sophisticated cyberattacks, companies are rethinking how they secure endpoints — from employee laptops to servers and other connected devices. Concerns have intensified since Anthropic unveiled its Mythos AI model, which the company said demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, prompting broader debate over AI-assisted cyberattacks. Glow is betting that this shift requires a new approach to endpoint security. Founded in 2025, Glow is building an endpoint security platform that helps enterprises monitor and control the software, AI agents, and developer tools running on employee devices. The startup said the platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies. “If you think of the past decade, everything was moving to the cloud and SaaS. Suddenly, AI lands on the endpoint in a way we’ve never seen,” co-founder and chief executive Roi Tiger (pictured above, center) said in an interview. Tiger, a former Meta vice president of engineering, co-founded Glow alongside former Snowflake cybersecurity strategy head Omer Singer (pictured above, left), former Claroty vice president of research and development Ophir Arie (pictured above, right), and former Meta engineering leader Arnon Joseph. The startup’s leadership team also includes chief operating officer Emily Heath, a former chief information security officer at United Airlines and DocuSign who served on the board of Wiz through its $32 billion acquisition by Google and was previously a partner at Cyberstarts. Even though it has only just emerged from stealth, Glow said it already has paying customers across industries including healthcare, retail, and financial services. However, it declined to disclose customer names and numbers. The startup’s typical deployments, Tiger said, span tens of thousands of employee devices across global organizations. To power the platform, Glow uses AI models from Anthropic and Google’s Gemini through Amazon Bedrock, while building its own software to provide the models with enterprise context and improve their reliability for security tasks, Tiger told TechCrunch. Glow’s platform, Tiger said, has already prevented malicious npm packages, third-party software components used to build applications, from being installed in customer environments, identified AI agents attempting to pull in such software, and detected employee devices where endpoint detection and response tools were missing or operating with reduced functionality. Glow enters a crowded endpoint security market dominated by companies including CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger said existing endpoint detection and response products focus primarily on detecting threats after they emerge, whereas Glow is designed to prevent risky software, AI agents, and developer tools from entering enterprise environments in the first place. The startup employs nearly 100 people, about 70% of whom are in Israel and the remainder in the U.S. Whether AI-native endpoint security platforms become a distinct category remains to be

In a new regulatory filing, Netflix revealed that it paid $587 million in cash for InterPositive, a startup co-founded by actor and director Ben Affleck. The streaming company announced the acquisition in March, with a statement from Affleck saying he wanted to “protect the power of human creativity.” According to Affleck, InterPublic’s AI tools help filmmakers improve their footage in post-production, particularly when it comes to making up for “real-world production challenges such as missing shots, background replacements or incorrect lighting.” At the time, Netflix announced that the entire InterPositive team would be joining the company, with Affleck joining as a senior advisor, but it didn’t disclose the financial terms of the deal. A subsequent report in Bloomberg suggested that the deal could be worth up to $600 million. In its most recent earnings report, Netflix said that around 300 of its titles have already used generative AI.