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AI News2 days left to save up to $190: Join 1,000+ founders and investors at TechCrunch Founder Summit

2 days left to save up to $190: Join 1,000+ founders and investors at TechCrunch Founder Summit

8:11 PM IST · June 25, 2026

2 days left to save up to $190: Join 1,000+ founders and investors at TechCrunch Founder Summit

With just 2 days left, now is the time to lock in your spot atTechCrunch Founder Summit 2026and save up to $190 before Early Bird rates expire on June 26 at 11:59 p.m. PT. Founders rarely scale alone. The fastest path to growth comes from learning from those who have already done it, connecting with peers facing similar challenges, and building relationships with investors who can help accelerate the next stage of your company. On November 4 in Boston, more than 1,000 founders and investors will come together for a highly curated day of tactical learning, candid conversations, and meaningful networking designed to help founders move faster and make smarter decisions. Early Bird pricing ends in 2 days. You can also save up to 30% with group discounts for teams of four or more.Register now before rates increase June 26. TechCrunch Founder Summitis designed specifically for founders. Every session, discussion, and networking opportunity is built around the challenges of starting, scaling, and funding a company. You’ll connect with: Whether you’re preparing to raise capital, refining your go-to-market strategy, or working toward your next growth milestone, Founder Summit creates opportunities for conversations that can change the trajectory of your business. Founder Summitfocuses on the decisions and inflection points that shape a company’s future. Through breakout sessions and roundtable discussions, you’ll gain practical guidance on topics such as: These founder-led conversations are designed to deliver actionable takeaways you can apply right away. Past speakers have shared candid lessons on scaling companies, raising capital, and navigating growth, including: Additional speakers have included leaders from Sequoia Capital, NFX, Underscore VC, Glasswing Ventures, Wing Venture Capital, Construct Capital, Greylock, and Precursor Ventures. The 2026 agenda is currently taking shape, with more founders, operators, and investorsto be announced on the event page soon. Interested in leading a discussion?Submit a roundtable or breakout session topicfor a chance to be voted onto the agenda by the TechCrunch audience. The opportunity to save up to $190 forTechCrunch Founder Summitends tomorrow, June 26, 11:59 p.m. PT. Join the founders, operators, and investors shaping the next generation of startups. Gain practical insights, expand your network, and build relationships that support long-term growth. Early Bird rates end June 26 at 11:59 p.m. PT. Save up to $190 on your pass and up to 30% when registering as a group.Register now before prices increase in two days. Interested in exhibiting at TechCrunch Founder Summit 2026?Reserve your exhibit tableand connect directly with founders, investors, and startup decision-makers.

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Google Launches Gemini 3.6 Flash and Gemini 3.5 Flash-Lite, Reveals Gemini 4 to Be in Training

Google Launches Gemini 3.6 Flash and Gemini 3.5 Flash-Lite, Reveals Gemini 4 to Be in Training

Google on Wednesday expanded its Gemini family with the launch of Gemini 3.6 Flash and Gemini 3.5 Flash-Lite. As per the Mountain View-based tech giant, its latest models are aimed at executing high-volume AI and agentic workloads more efficiently. Gemini 3.6 Flash is claimed to use 17 percent fewer output tokens than Gemini 3.5 Flash on the Artificial Analysis Index. Meanwhile, Gemini 3.5 Flash-Lite is positioned as the fastest model in the 3.5 series, generating up to 350 output tokens per second.

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Synthesia’s AI training platform is moving beyond videos into live coaching

Synthesia’s AI training platform is moving beyond videos into live coaching

For years,Synthesia’spitch was to use AI to help enterprises create interactive training videos, in minutes, for a fraction of the cost normally associated with developing corporate educational materials. The startup’s newest product is making a different bet — that the real moat in enterprise AI isn’t just generating content, but in proving that it worked. On Wednesday, the British startup launchedRoleplay Sessions, an interactive training product where employees can practice high-stakes conversations like sales pitches, performance reviews, and customer complaints with an AI avatar that talks back, pushes back, and then scores them against a rubric. Roleplay is the first release under a broader “Sessions” platform Synthesia plans to expand into other formats, including job interviews and candidate screening, TechCrunch has exclusively learned. The launch comes as enterprises take a harder look at whether their AI spend is paying off. Citing ameta-analysis of learning research, Synthesia argues that most corporate training — including, implicitly, its own core video product — stops short of actually changing behavior. The trainings tend to inform and demonstrate, but what really pushes someone into actually learning something is doing that thing, along with feedback. “Video performs way better than text or sending out a document,” Synthesia CEO and co-founder Victor Riparbelli told TechCrunch. “But for most things, we learn the best by actually practicing something rather than just reading it.” Roleplay also moves Synthesia into a more defensible position. The company’s avatar and voice technology are proprietary, but the underlying reasoning intelligence is OpenAI’s. By tacking on a layer that includes rubrics, performance data, and analytics, Synthesia is positioning itself less as an AI avatar company and more as a performance-management platform with a video front end. “From a managerial executive layer, we’re seeing huge interest in mapping out the talent in their company in a way that’s been really difficult to do before,” Riparbelli said. “If you have your entire sales team practice with an AI role player, you can get very granular data on how your sales force is doing overall.” Synthesia already has a few early Roleplay customers with scaled commercial rollouts, including “one of the top three companies by market cap in Europe, one of the top five Fortune 100, and one of the biggest recruitment companies in the world,” per a company spokesperson. The two most popular use cases involve training sales teams and leadership — programs like practicing how to sell a product or have a difficult conversation. Much of it is soft skills training, Riparbelli said. As with Synthesia’s main product, customers can either create their own training programs on the platform or enlist the help of Synthesia’s consultants to build a bespoke solution that relies in part on whatever training documents and context the company already has. Roleplay is an enterprise offering for now, but the goal is to offer it more widely to small businesses, prosumers, and potentially educational institutions in the next few months as inference costs continue to fall. Riparbelli believes products like Roleplay represent the next phase of enterprise AI adoption, where companies care less about whether AI looks good in a social media demo and more about proving it generates measurable business outcomes.

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Glow emerges from stealth at $1.2B valuation to challenge endpoint security in the AI era

Glow emerges from stealth at $1.2B valuation to challenge endpoint security in the AI era

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 haveintensifiedsince Anthropicunveiled 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 seen, as enterprises are only beginning to grapple with the security implications of increasingly capable AI models.

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