Chamath Palihapitiya raises $135M for AI coding startup 8090 Labs, takes CEO role himself

Chamath Palihapitiya Returns to Full-Time Operations with Major Funding

Chamath Palihapitiya, the venture capitalist behind Social Capital and co-host of the All-In podcast, has secured $135 million in Series A funding for his AI coding startup 8090 Labs 1

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. Salesforce Ventures led the round, with participation from prominent investors including Jeffrey Katzenberg's WndrCo, David Sacks' Craft Ventures, David Friedberg's The Production Board, and Jason Calacanis' Launch 1

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. Angel investors include Palo Alto Networks CEO Nikesh Arora and Quora CEO Adam D'Angelo 2

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Palihapitiya announced he will take on the CEO role himself, marking his first full-time operating position since leaving Facebook. "Since I left Facebook, I was waiting for a moment like this to return to a full-time operating role," he wrote, comparing the current AI rush to the rise of social media during his tenure at the company 1

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Software Factory Targets Enterprise Software Development Challenges

8090 Labs, founded in January 2024, offers an AI coding agent specifically designed for corporate programming teams 1

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. The company's product, Software Factory, positions itself as a governed workspace for AI where people and AI agents collaborate to build and modify enterprise software 2

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. Unlike tools that generate quick prototypes, 8090 Labs focuses on production-quality software with enterprise-grade controls including audit trails that track changes from business requirements through architecture, coding, testing, and deployment 1

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The selling point centers on control rather than speed. The platform promises leaders visibility and accountability, addressing what makes large companies nervous about AI-generated code: whether anyone can track what changed and why 2

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. This governance-first approach aims to solve the problem of enterprise software stability as dozens of agents and engineers modify systems weekly 2

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Tackling Legacy Systems in Regulated Industries

8090 Labs also operates a delivery arm that designs, builds, hosts, and maintains custom systems for clients in regulated industries including healthcare, insurance, life sciences, manufacturing, financial services, and government 2

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. The company claims significant results with existing customers, though these figures come from the company itself. According to 8090 Labs, it converted over 18 million lines of COBOL and Assembly code into plain English for a healthcare billing engine, producing more than 300,000 readable rules in 40 days 2

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A listed health insurer reportedly cut claims sent to a pay-per-catch vendor by 80 percent, avoiding more than $20 million over four years 2

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. A life sciences customer reduced a diagnostic's time to market from five years to four, while a manufacturer brought more than 10,000 parts under real-time validation 2

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. If these results hold beyond the announcement, they suggest the real opportunity lies not in greenfield applications but in the expensive, brittle legacy systems that large firms struggle to replace 2

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Navigating a Crowded and Costly Market

The Series A funding arrives amid intense competition in AI coding tools. Investors continue pouring money into AI coding and agent startups even as operational costs climb 2

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. Major enterprises feel the pressure, with Amazon among those searching for more cost-effective alternatives. Meta has restricted its engineers' use of Anthropic's Claude Code and OpenAI's Codex while developing its own internal tool 2

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8090 Labs positions itself one layer above the models, selling orchestration and oversight rather than the underlying AI technology 2

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. The capital from this round will fund hiring and the compute resources needed to scale the product 2

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. The company bets that the unglamorous but critical aspects—governance, audit trails, and legacy system integration—represent the durable business opportunity. With Palihapitiya now committing his time fully to the venture, 8090 Labs will attract attention, though it must prove whether its "factory for agents" concept delivers sustained value beyond the initial narrative 2

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