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AI News4 days left to exhibit at TechCrunch Disrupt 2026

4 days left to exhibit at TechCrunch Disrupt 2026

10:20 PM IST · September 15, 2026

4 days left to exhibit at TechCrunch Disrupt 2026

Book your exhibit table by Friday, September 18 at 11:59 p.m. PT.Tables are limited and first-come, first-served. From October 13-15 at San Francisco’s Moscone West,10,000+ founders, investors, operators, and tech leaderswill walk intoTechCrunch Disrupt 2026looking for companies to invest in, products to use, partners to work with, and technologies worth paying attention to. Your startup can be one of the companies they discover. The DisruptExpo Hallis the highest-traffic part of the event, giving your team three days to put your company directly in front of the people you want to reach. Book an exhibit table and use it to: The package also includes access to the TechCrunch Disrupt press list, Silver Tier sponsor branding, and additional event recognition. And you don’t need to fit a specific startup profile to exhibit. Startups at any stage or in any industry can put their company on the Expo Hall floor. Don’t wait until the deadline to decide.Tables can sell out first. 4 days left.Book your exhibit table nowfor $12,500 before Friday’s 11:59 p.m. PT deadline. TechCrunch Disrupt 2026brings 250+ top-tier tech leaders across 200+ sessions on six industry stages, plus interactive sessions and AI-powered matchmaking designed to help you make more relevant connections. You’ll also discover 300+ startups and the Startup Battlefield 200 while connecting with the founders, investors, and operators shaping what’s next.Regular ticket pricing ends September 25.

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Early Anthropic hire, former METR COO have found a way to rein in rogue AI agents

Early Anthropic hire, former METR COO have found a way to rein in rogue AI agents

A day after Anthropic researcher Jacob Coxon quit his job over concerns that AI could kill us all by the end of the decade, I met with founders and brothers-in-law Rune Kvist and Rajiv Dattani. They think they have a solution that could save us all, or at least help prevent AI agents from going rogue inside enterprises. “AI is getting smarter at an increasingly rapid rate. The surprising thing about AI is that it becomes harder to adopt and harder to control as AI gets smarter, not easier,” said Kvist, an early Anthropic employee who is also married to Dattani’s sister). Dattani is the former COO of the AI safety research organization METR. The pair launched a startup called Artificial Intelligence Underwriting Company (AIUC) that hopes to bring AI safety to enterprises and companies building AI models and agents. The startup names Cursor, Lovable, Harvey, and ElevenLabs as customers. On Tuesday, AIUC announced a $40 million Series A led by Ribbit Capital, with participation from First Harmonic. It previously closed a $15 million seed round from Nat Friedman through his fund NFDG, along with Emergence, Terrain, and Anthropic co-founder Ben Mann, among others, bringing its total funding to $55 million. What caught the attention of this A-list group of investors is AIUC’s attempt to apply a familiar cybersecurity model to a new set of AI risks. The company has built a third-party audit and certification layer for AI agents. “Banks, hospitals, governments and militaries no longer decline to deploy AI because a model isn’t smart enough,” Kvist said. “They decline because they’ve made commitments to their own customers about what a system will and won’t do, and nobody can currently guarantee that.” Using the widely adopted cybersecurity standard SOC 2 as its muse, AIUC has developed a standard called AIUC-1 and a testing service to validate agents against the standard. To build the standard, AIUC assembled a consortium of about 250 security and risk leaders — the buyers of agents. “These are the people who we meet with on a monthly basis, and the question we ask them is: When you’re buying agents from someone, what would you look for? What are the questions you’d want to ask, and what would you want to see addressed?” Dattani told TechCrunch. That feedback shapes the tests. The startup then runs an agent through a suite of some 5,000 tests to see how it behaves in scenarios involving jailbreaks, hallucinations, and data leaks. The results produce a roughly 100-page report detailing where an agent performs safely and reliably — and where it doesn’t. Interestingly, AIUC uses AI agents to run the tests and AI to analyze the data. Humans, however, verify the final audit, Kvist said. If this sounds a bit familiar, it is. Dattani’s former employer METR, where he was COO from 2024 to 2025 and remains a board member, does similar testing for the frontier labs, though its work until recently has focused mostly on performance (whether agents can reliably complete tasks). METR was one of the independent research orgsOpenAI used to investigate its Hugging Face incident. Anthropic CEO Dario Amodei has also recentlycalled for the AI industry to pace frontier development, citing a rapid increasein bad-behavior incidents. In his post, Amodei floated the idea of requiring frontier labs to use embedded third-party evaluators to observe and verify safety, and named METR as one possibility. While AIUC isn’t proposing to embed itself at customer sites, the overall idea is similar: give enterprises an independent assessment of how safe their AI agents are. “Here’s where it passes and where you can trust it. And here’s where there’s concerns. You should be aware of those references before you make the decision to buy,” Dattani said.

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4 days left to exhibit at TechCrunch Disrupt 2026

4 days left to exhibit at TechCrunch Disrupt 2026

Book your exhibit table by Friday, September 18 at 11:59 p.m. PT.Tables are limited and first-come, first-served. From October 13-15 at San Francisco’s Moscone West,10,000+ founders, investors, operators, and tech leaderswill walk intoTechCrunch Disrupt 2026looking for companies to invest in, products to use, partners to work with, and technologies worth paying attention to. Your startup can be one of the companies they discover. The DisruptExpo Hallis the highest-traffic part of the event, giving your team three days to put your company directly in front of the people you want to reach. Book an exhibit table and use it to: The package also includes access to the TechCrunch Disrupt press list, Silver Tier sponsor branding, and additional event recognition. And you don’t need to fit a specific startup profile to exhibit. Startups at any stage or in any industry can put their company on the Expo Hall floor. Don’t wait until the deadline to decide.Tables can sell out first. 4 days left.Book your exhibit table nowfor $12,500 before Friday’s 11:59 p.m. PT deadline. TechCrunch Disrupt 2026brings 250+ top-tier tech leaders across 200+ sessions on six industry stages, plus interactive sessions and AI-powered matchmaking designed to help you make more relevant connections. You’ll also discover 300+ startups and the Startup Battlefield 200 while connecting with the founders, investors, and operators shaping what’s next.Regular ticket pricing ends September 25.

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Discover how to take your startup from prototype to production at TechCrunch Disrupt 2026

Discover how to take your startup from prototype to production at TechCrunch Disrupt 2026

AI has dramatically lowered the barrier to building impressive prototypes. Getting those prototypes into production is a different story. Every founder hopes their breakthrough becomes a product customers can rely on. Yet the path from prototype to production rarely follows a straight line. Manufacturing challenges emerge. Infrastructure has to support growth. Autonomous systems have to perform outside controlled environments. The problems change quickly once technology leaves the lab. That’s the focus of “From Prototype to Production: Can It Scale in Reality,” taking place on theReal World AI StageatTechCrunch Disrupt 2026. Leaders in space communications, autonomous systems, and AI infrastructure will share how they’ve navigated that transition, from promising innovation to production-ready deployment. Although every industry follows its own path, all three speakers have faced the same reality: A successful prototype is only the beginning. Disrupt returns to Moscone Westin San Francisco, October 13–15, bringing together 10,000+ founders, investors, and operators for 250+ sessions exploring the technologies and market forces shaping what’s next.Secure your Disrupt passto hear how today’s innovators are moving breakthrough technologies into production. A working prototype answers one question: “Can it be done?” Production raises dozens more. Building optical communications hardware has little in common with deploying autonomous vehicles or autonomous construction equipment. Yet each requires the technology to perform consistently outside controlled environments, where reliability, manufacturing, infrastructure, and day-to-day operations become integral to the product itself. ThisReal World AI Stage sessiondoesn’t promise a single blueprint. Instead, it brings together founders who have tackled production from very different angles, offering a rare opportunity to compare what scaling looks like across industries. Explore the Real World AI Stageand register for Disrupt with up to $200 savings. No two production stories look the same. That’s what makes this discussion compelling. Each foundertaking the Real World AI stagehas navigated a different path from prototype to production, offering lessons startups can apply to their own journey. Moving beyond the prototype often means building manufacturing capability alongside the technology itself. As co-founder and CEO ofMBRYONICS,John Mackeyhas transformed a specialized photonics spinout into a leader in space-based optical communications, expanding high-volume manufacturing while helping build the infrastructure behind next-generation space networks. His insights will help startups understand what changes when your company shifts from building prototypes to building products. Before co-foundingBedrock Robotics,Boris Sofmanhelped lead autonomous trucking and core technologies at Waymo, where fully driverless vehicles logged more than 100 million driverless miles. His experience reflects what happens when autonomous systems leave controlled testing and begin operating in environments where consistency and reliability matter every day. He’ll shed light on how to scale production while ensuring safety and reliability. Before co-foundingFoxglove,Adrian Macneilled infrastructure engineering at Cruise, developing the data platform that supported autonomous vehicles at scale. His work demonstrates that production depends on the engineering systems surrounding it. His talk will underscore the systems and infrastructure that allow complex technologies to move beyond experimentation and into everyday use. Together, they bring three different perspectives to the same milestone every ambitious technology company eventually reaches: moving from a successful prototype to something customers can trust in the real world. Hear how these founders approached production and what they learned along the way.Choose your Disrupt ticket type and save up to $200 by September 25. Sooner or later, every promising technology has to prove itself outside the lab. That’s where this Disrupt conversation begins. Rather than focusing on what’s possible in theory, these founders will discuss what happens when manufacturing, deployment, infrastructure, and day-to-day operations become part of the product. Regardless of the innovation you’re building, this session offers the opportunity to hear from founders who’ve already navigated the move from prototype to production — and the lessons they learned along the way. Secure your pass to Disruptand hear how leaders are making the leap from prototype to production. Save up to $200 before prices increase on September 25.

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Former TikTok execs built an app that uses AI to teach you how to pose for a photo

Former TikTok execs built an app that uses AI to teach you how to pose for a photo

Companies have been increasingly using AI’s image generation chops to teach people photography skills. Google last year released a feature calledCamera Coach on Pixel phonesto guide users about framing and composition, and in July, Adobe released a new feature in its experimental camera app to use AI tocritique photos and suggest changes for capture. On the same slant, two former TikTok employees, Melody Chu and Jing Liu, are launching a new iOS app calledSuperposethat uses an AI guide to teach people how to pose for pictures. Superpose essentially is a camera app. Users can take a selfie or photo of a friend, and the app will generate four potential poses using AI. Some of the poses are extravagant, and, at times, the generation seems uncanny. Users can save generated poses, or use the match-pose feature to try to place themselves in the frame based on its suggestions. Prior to founding Superpose, Chu worked in various product roles in companies like Meta, Nextdoor, Roblox, TikTok, and Slack. Meanwhile, Liu was a founding engineer at a 3D face-scanning startup, and later worked on image and video models at TikTok. Chu said that the idea for the app stemmed from a personal problem: her husband wasn’t able to take good photos of her. “My husband just takes awful photos of me. It was a true pain point in our marriage where I don’t understand how he gets me to look just so terrible all the time. And I thought to myself, there has to be a way to solve this problem with advancements in computer vision and generative AI. And I decided to set out on my own,” Chu told TechCrunch. Superpose was launched in July, and has been downloaded over 22,000 times so far. The company says its users have generated more than 190,000 poses. The app gives users five generations for free every day, but they can buy a pack of five additional generations for $2.99, or 20 generations for $9.99. Loading the player… While Chu acknowledged that other companies are also entering the AI-guided photography space, she said Superpose wants to focus on becoming the best camera to take portrait photos by following directions from AI. The startup doesn’t want to get into creating AI backgrounds and images, and wants to focus on real-life photographs, she added. “We want to lean into the core of memory capture versus, say, putting you in a fantastical place that you’ve never been. I think there are so many apps that do that well already, but we really wanna focus on actually capturing the lived moment and experience,” Chu said. She also acknowledged that some of the pose suggestions might seem uncanny, and the company is working on improving that. The startup says it is working on improving its generation styles, personalization, and ways to better coach users directly from the viewfinder. Superpose has raised $2.2 million in funding from Khosla Ventures, Chinese smartphone and selfie app maker Meitu, and OVTR VC.

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