Chamath Palihapitiya raises $135M for an 'AI-native software factory' — aimed squarely at healthcare, finance and government
8090 Labs closed a $135M Series A led by Salesforce Ventures in late June, with Chamath Palihapitiya taking his first operating role since leaving Facebook to run it — a bet that regulated industries need a fundamentally different AI software delivery model than the consumer 'vibe coding' tools search interest has been climbing for.
14 July 2026
8090 Labs closed a $135 million Series A led by Salesforce Ventures, with Chamath Palihapitiya stepping away from the board to take the CEO seat — his first operating role since leaving Facebook in 2011. The company calls itself an “AI-native software factory”: teams of people and AI agents building and maintaining enterprise software together, with the pipeline aimed specifically at healthcare, finance and government clients — sectors where compliance, auditability and regulatory sign-off aren’t optional extras.
That positioning is the interesting part. Most of the AI-build conversation this year has been about consumer-facing “vibe coding” — describe an app, get a working prototype in a weekend, the Bolt/Lovable/v0 category search interest has been climbing toward steadily. 8090 is explicitly not chasing that market. Its pitch is a direct challenge to the traditional IT-services model — the Accenture/Infosys/Wipro world that regulated enterprises have relied on for decades — arguing that AI agents plus human engineers, inside a governed pipeline, can do that work faster without dropping the compliance and audit trail regulated buyers can’t do without.
So what
This is a useful data point if you’ve been wondering whether the AI-build wave applies to your project or not. The honest answer has always been: it depends heavily on what you’re building and who’s regulating it. A landing page or an internal tool can tolerate a prototype-first, AI-generated approach. A patient-facing healthcare product, a financial platform, or anything touching regulated data needs the AI speed-up wrapped in the same governance, testing and audit discipline a regulated build has always required — which is exactly the gap a well-funded new entrant is now betting real money exists. If you’re weighing how much of your build AI tooling should touch versus where you need proper engineering discipline baked in from day one, our healthcare software development and custom software development pages cover how we draw that line, or get in touch to talk through your specific case.