Two brothers who worked at Dropbox and Palantir raised $15M because AI writes code faster than anyone can check it

[ECWAlex98]

London based Meticulous has raised $15 million in a Series A led by Chemistry, with Menlo Ventures and a stacked angel bench including Guillermo Rauch, Arash Ferdowsi and Scott Belsky joining in. The company's pitch is blunt, AI coding agents now generate software faster than any human team can review it, so Meticulous automatically tests every code change before it ships rather than relying on developers to write and maintain thousands of brittle manual tests

Founders Gabriel and Quentin Spencer-Harper are brothers who each independently ran into the same wall at very different companies. Gabriel was a software engineer at Dropbox, Quentin spent a decade leading frontend engineering on Palantir's Foundry product, and both kept seeing the same lesson play out, you can test code exhaustively and it still breaks the moment real users actually touch it. Meticulous works by scanning an application's codebase, identifying the edge cases a given change could break, and simulating real user sessions against the update both before and after, handing developers a visual diff instead of a wall of raw test output. It's frontend only for now, with backend and full stack validation planned next

The company says its annual recurring revenue is up fivefold over the past year, with customers including Notion, ElevenLabs, Dropbox, Wiz and LaunchDarkly. It's a genuinely crowded fight though, Harness has pushed into AI powered testing at a valuation above $3.7 billion, Diffblue has raised over $50 million automating Java unit tests specifically, and CodeRabbit and Qodo are baking AI directly into code review itself. What differentiates Meticulous is scope, it isn't trying to write the code or review the pull request, just verify whether the thing actually works before it goes live, positioning itself as a trust layer sitting between AI generated code and production

The new funding goes toward R&D, backend and performance testing, and growing the team from around 20 people to somewhere between 30 and 40 over the next year, bringing the company's total raised to $19 million. As AI agents write an increasing share of production software, the underlying bet here is that developers will spend less time writing code and more time deciding whether they can actually trust it, meaning the companies verifying AI generated software could end up mattering just as much as the ones generating it in the first place

AI writes code faster than developers can review it. These ex-Dropbox and Palantir brothers raised $15M to fix that - TFNtechfundingnews.com

[Firewall Stephen]

Both founders independently hitting the same wall at completely different companies, Dropbox and Palantir, before teaming up is a genuinely strong origin story for exactly this problem