AI funding heats up as crypto awaits its regulatory green light. This week overview (july 20 - july 24, 2026): - Meshy raised nearly $400M Series B at a $1.5B valuation, the largest round to date for a company built specifically on AI-powered 3D generation, led by IDG Capital, Matrix Partners China, and Monolith Management. - Augustus raised $180M Series B led by Tiger Global at a $1B valuation to build a federally chartered "Global Dollar Bank" giving international fintechs stablecoin-and-SWIFT access to USD, on the back of a fresh OCC conditional national bank charter - total raised now $210M. - Glow emerged from stealth with $180M Series A (Sequoia, Cyberstarts, Greenoaks, Redpoint, Index) at a $1.2B valuation, building AI-native endpoint security for a world where AI agents sit on the corporate laptop. - Movement Labs, the team behind the Movement Layer-2 network, filed for Chapter 11 bankruptcy, reported this week, after its MOVE token collapsed roughly 94-99% following a market-maker token-distribution scandal that got it delisted from major exchanges. Meshy: the largest check AI 3D generation has ever seen. Three-dimensional content has been the industry's obvious-but-unsolved AI application for years: every other modality (text, image, video, voice) got its foundation-model moment, and 3D lagged because the data, the tooling, and the use cases were messier. This week that gap closed with the single largest funding event AI 3D generation has recorded. Meshy closed nearly $400M in Series B funding at a $1.5B valuation, its first publicly disclosed number, led by IDG Capital, Matrix Partners China, and Monolith Management, with existing shareholders Granite Asia, HongShan, BAI Capital, and Source Code Capital all returning. The company builds foundation models that generate print-ready, game-ready 3D assets directly from text, images, or sketches - collapsing what used to be a multi-day modeling workflow requiring specialized software and specialized humans into a prompt. The traction numbers explain why investors leaned in at this size: annual recurring revenue is growing roughly 12x year over year, the platform has more than 12 million registered users, and users have generated over 100 million models to date. Those aren't hobbyist numbers - they describe a tool already embedded in real production pipelines across gaming, e-commerce, and manufacturing, categories where a usable 3D asset has direct, measurable economic value the moment it's produced instead of weeks later. Alongside the round, Meshy shipped the "Meshy 3D Agent" - an agentic workflow that takes a rougher input (a sketch, a reference photo, a text description) and autonomously handles the multi-step process of turning it into a finished, usable model, rather than a single-shot generation the user has to iterate on by hand. Text and image generation got their infrastructure-scale rounds years ago; video followed. 3D was the modality everyone assumed would eventually get its moment once the underlying models were good enough - and this week's round is the market declaring that the technology has crossed that threshold, with real revenue and real usage to back the price tag rather than pure narrative. Augustus: a bank charter as the moat, stablecoins as the product. If Meshy is this week's proof that a new AI category just became investable, Augustus is proof that the oldest financial category - dollar banking - is being rebuilt with crypto-native rails underneath a very traditional wrapper. Augustus closed a $180M Series B led by Tiger Global, with Hummingbird, QED, and the founders of Nubank, Ramp, Circle, and Deel all participating, at a $1B valuation, bringing its total raised to $210M. The company is building what it calls the "Global Dollar Bank": a federally chartered U.S. bank giving international fintechs and banks direct USD account access and payment rails spanning SWIFT, ACH, SEPA, and stablecoin settlement. The real asset isn't the round size, it's the charter. In May, the Office of the Comptroller of the Currency granted Augustus preliminary conditional approval for a full national bank charter, making it only the eighth company since 2010 to receive that approval. Fintechs have spent a decade routing around the need for a charter through sponsor-bank partnerships; Augustus chose to become the bank instead, which lets it offer dollar access on its own terms. The use of funds tells you where the demand actually lives: expansion into Latin America, Southeast Asia, the Middle East, and Africa, regions where local fintechs and banks have the hardest time getting reliable, affordable USD rails, and where a stablecoin-backed dollar account solves an expensive, everyday problem rather than a speculative one. Augustus is the least "crypto-native"-looking story in this roundup, wrapping a stablecoin settlement layer inside the most conservative possible institution - and arguably the clearest evidence yet of what stablecoins are actually being used for in 2026. Glow: securing the endpoint now that AI agents live there too. Cybersecurity spending follows wherever the attack surface just moved, and this week the attack surface moved onto the AI agents now running on employee laptops. Glow emerged from stealth with a $180M Series A at a $1.2B valuation, an unusually large debut round backed by Sequoia Capital, Cyberstarts, Greenoaks, Redpoint Ventures, Index Ventures, and Lux Capital, among others. Founders Roi Tiger (former Meta VP of Engineering), Omer Singer (former Snowflake cybersecurity strategy lead), Ophir Arie (former Claroty VP of R&D), and Arnon Joseph (former Meta engineering leader) built the company around a single premise: endpoint security, as a category, was designed for a world where humans and static software occupied a device - not autonomous AI agents holding standing permissions and the ability to act on their own. "If you think of the past decade, everything was moving to the cloud and SaaS. Suddenly, AI lands on the endpoint" - Roi Tiger, Glow co-founder That prevention-first posture matters because the threat model flipped in both directions at once: AI tools give attackers a faster way to craft convincing, adaptive attacks, and AI agents given broad device permissions are themselves a new kind of insider risk if compromised or simply misconfigured. Traditional endpoint detection, built to flag known malware signatures, was never built to reason about an autonomous process with legitimate credentials doing something it was technically allowed to do. Glow already has paying customers in healthcare, retail, and financial services, sectors with the least tolerance for a security model built for the last decade's threats, and employs close to 100 people, 70% based in Israel. A $1.2B valuation on a stealth debut says Sequoia and company think "AI on the endpoint"; it's the default problem every enterprise is about to have. Movement Labs: what happens when a token scandal actually reaches bankruptcy court. Not every story in a VC roundup is a raise, some are the other end of the cycle, and this week crypto got a reminder of what that looks like when it goes all the way to bankruptcy court. MVMT Labs, the development team behind the Movement Layer-2 blockchain network, filed for Chapter 11 bankruptcy protection in the U.S. Bankruptcy Court for the District of Delaware, according to reporting this week. The filing reported liabilities of up to $10M against roughly $500K in assets, a startling gap for a project that had raised a $38M Series A led by Polychain Capital in 2024 and a roughly $100M Series B in early 2025 at a valuation near $3B. The collapse traces back to a controversial market-maker agreement around the initial distribution of 66 million MOVE tokens, which triggered mass liquidations and got the token banned from major exchanges including Binance. MOVE has since traded down as much as 94-99% from its highs, and the largest creditor in the bankruptcy filing is co-founder Rushi Manche himself, with a claim exceeding $1.6M. The court has set September 14, 2026 as the deadline for creditors to file claims, with a formal restructuring plan due by October 13, 2026. Why this belongs in a roundup alongside four funding rounds: Movement Labs raised from serious, credible investors (Polychain led its seed round) at a serious valuation, and still ended up in bankruptcy court within roughly two years - not because the underlying technology failed, but because of a token-distribution and market-making structure that blew up the community's trust before the product ever got a fair test.

Ex-Meta VP behind a controversial surveillance tool launches Glow, a 1.2 billion dollar cybersecurity AI unicorn. Editorial Team July 23, 2026 at 4:23 AM UTC Cybersecurity startup Glow has emerged from stealth with 180 million dollars in an all equity Series A round at a 1.2 billion dollar valuation, betting that artificial intelligence is fundamentally changing how enterprises need to secure employee devices, from laptops to servers and other connected endpoints. The round was led by Sequoia Capital, Cyberstarts, Greenoaks and Redpoint Ventures, with additional participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective and Holly Ventures. The investment places Glow among a growing group of cybersecurity startups, Wiz among them, that have crossed the billion dollar valuation mark before publicly disclosing any revenue figures, a sequencing that has become increasingly common within Israeli cybersecurity funding circles. A founding team with deep roots in enterprise security. Glow was founded in 2025 and is based across Tel Aviv and Palo Alto, built by chief executive Roi Tiger, chief technology officer Omer Singer and vice president of research and development Ophir Arie. Singer previously led cybersecurity strategy at Snowflake, while Arie ran research and development at industrial security firm Claroty. Chief product officer Arnon Joseph spent eight years at Meta as a senior product director, and chief operating officer Emily Heath previously served as chief information security officer at United Airlines and DocuSign, while also sitting on the board of Wiz through its reported 32 billion dollar acquisition by Google. Tiger's own background in the industry stretches back roughly fifteen years, when he co-founded Onavo alongside Guy Rosen in Tel Aviv, building a mobile app designed to help users compress and monitor their mobile data usage. Meta acquired Onavo in 2013 for a reported figure between 120 million and 200 million dollars, and Tiger remained with the company for nine years, eventually rising to vice president of engineering. The history that follows Glow into its launch. Court documents unsealed in 2024 revealed that Meta chief executive Mark Zuckerberg had directed staff in 2016 to find ways to gather analytics on competing platforms, including Snapchat, using Onavo's underlying technology. Apple removed Onavo from its app store in 2018 over data collection concerns, and Meta shut the app down entirely in 2019. Tiger has not publicly addressed his role in that chapter of the company's history, and Glow's launch materials do not reference it directly. Glow's current pitch stands in notable contrast to that history. Rather than covertly monitoring device activity to gather intelligence, the company's platform is built to give enterprise security teams direct, transparent control over what software and AI tools are permitted to run on employee devices in the first place. Shifting from detection to prevention. Glow's central argument is that traditional endpoint security tools were built primarily to detect and respond to threats after they occur, an approach the company argues is no longer sufficient as employees increasingly connect AI assistants, autonomous agents and third party AI applications to corporate systems, often faster than security teams can properly evaluate them. According to Glow's own data, unauthorized AI use on corporate devices has climbed from roughly 15 percent to 45 percent over the past year alone. The company's AI agents are designed to map what software is currently running on a given device, assess the associated risk in real time, and block unapproved applications before they are ever installed, rather than flagging problems only after a compromise has already taken place. Targeting an increasingly ai-driven threat landscape. Glow frames its platform as a response to attackers who are increasingly using generative AI themselves to automate phishing campaigns, develop malware more efficiently and launch more sophisticated attacks at a pace traditional security tooling was not designed to match. That shift has prompted many enterprises to reconsider how they approach endpoint security more broadly, moving away from purely reactive detection models toward proactive prevention systems built around continuous, automated risk assessment. The company has named no specific customers publicly, describing its early traction only in terms of broad sectors including healthcare, retail and financial services, a common pattern among early stage cybersecurity companies still building out named reference customers ahead of a fuller public launch. What the funding will support. Glow plans to use its new capital to expand its presence in the United States, grow a newly established research arm called Glow Labs, and continue building out the AI native capabilities of its endpoint security platform. The company already employs close to 100 people across its Tel Aviv and Palo Alto offices, a relatively large team for a company still in its first full year of operation, reflecting the seniority and experience level of its founding group. Whether enterprises are ultimately willing to hand over decisions about what software runs on their systems to an AI agent remains an open question, one that will likely shape how quickly Glow can convert its early funding momentum and experienced leadership team into the kind of measurable customer traction that has so far been notably absent from its public launch.

Enterprise AI bets: ServiceNow's banking play, Glow's security unicorn. Published · Jul 23, 2026 Why This is Noise Two different funding stories, same underlying signal: enterprise AI investment keeps flowing into both vertical software and the security tooling needed to govern it safely. Key Takeaways * ServiceNow invested $40 million in Indian banking software firm BusinessNext at a $700 million valuation, taking a roughly 5% stake. * BusinessNext serves more than 70 banks including the Reserve Bank of India, State Bank of India, and HDFC Bank, with AI agents automating banking workflows on private infrastructure. * Separately, cybersecurity startup Glow emerged from stealth with $180 million in Series A funding at a $1.2 billion valuation. * Glow's platform uses specialized AI agents to map, analyze, and enforce security policy on enterprise endpoints in real time. * Glow already has paying customers in healthcare, retail, and financial services, despite just emerging from stealth. What happened. ServiceNow invested $40 million in Indian banking software specialist BusinessNext at a $700 million valuation, TechCrunch reported, taking a roughly 5% stake. BusinessNext serves more than 70 banks across India, Southeast Asia, the Middle East, and the US, including the Reserve Bank of India, State Bank of India, and HDFC Bank. Founder and CEO Nishant Singh said the company chose ServiceNow over financial investors specifically to tap its global sales network in markets where BusinessNext has limited presence, describing it as a strategic partnership formalized through funding. BusinessNext uses AI agents to automate customer-facing banking workflows while keeping sensitive data on private AI infrastructure for regulatory compliance. Separately, cybersecurity startup Glow emerged from stealth Wednesday with $180 million in Series A funding at a $1.2 billion valuation, led by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures. Founded by former Meta and Snowflake executives, Glow uses specialized AI agents to continuously map an enterprise's endpoint environment, analyze risk in real time, and automatically enforce which software and AI agents are allowed to run. Glow said it already has paying customers across healthcare, retail, and financial services, though it declined to disclose revenue. The funding will expand its US go-to-market team and its research arm, Glow Labs. Why it matters. Both deals point to the same underlying shift: AI is moving from experimental pilots to infrastructure enterprises are willing to pay premium valuations for, whether that's vertical banking workflows or the security layer needed to govern AI agents running on company devices. ServiceNow's investment strategy shows established enterprise software vendors buying AI-native expertise rather than building every vertical capability in-house. Glow's thesis is especially timely. This week's incident, where a misconfigured test sandbox let an OpenAI model escape into real infrastructure, is close to the exact risk category Glow is raising money to solve: AI agents doing things on a device or network that no one explicitly authorized. A billion-dollar valuation before public revenue disclosure reflects real investor urgency around that problem, not just hype. "Think of it as a strategic partnership, which is cemented with funding." Nishant Singh, Founder and CEO, BusinessNext Bottom line. Watch whether BusinessNext's overseas revenue grows as fast as ServiceNow's sales network gives it access, and whether Glow converts its early enterprise customers into disclosed, referenceable case studies. Both would confirm these valuations reflect real traction rather than momentum-driven pricing. For SaaS founders, the pairing is instructive: AI vertical software and AI security tooling are being funded as complementary bets, not competing priorities. If your team is deploying AI agents anywhere near production systems, endpoint-level governance is becoming a real category, not a hypothetical one. Neelam Khan. Lead Editor Neelam Khan is a Lead Editor at Relve, covering AI news, tools, product updates, search trends, and business use cases. She filters noise from useful signals for founders and teams, drawing on her previous work in AI SEO, content strategy, and tool research with Wellows and AllAboutAI.