Million

Million Software, Inc. tackles the hardest problem in AI coding: proving the code actually works. The company builds tooling for agent verification, ensuring that code produced by AI agents is correct, safe, and reliable. Founded by a small team with a track record of mass-adopted open-source projects like React Scan, React Doctor, and Million.js (which outperforms React's virtual DOM), Million is backed by Y Combinator (W24) and notable investors including Scott Wu, Amjad Masad, Evan You, and David Cramer. Million's primary offering is a suite of verification tools designed for developers and teams using AI coding agents. These tools integrate into existing workflows to validate that AI-generated code meets correctness and security standards before deployment. The exact mechanisms—whether static analysis, runtime checks, or formal verification—are not fully detailed on the homepage, but the focus is on moving beyond code generation to ensuring generated code works. The target audience includes engineering teams adopting AI-assisted development, agent builders, and companies deploying AI-generated code in production. Million differentiates itself by addressing the verification gap left by other AI coding tools, which often generate code without robust guarantees. By building on the team's experience with high-performance open-source tools, Million aims to deliver production-ready solutions that scale. In a landscape where AI coding speed is ahead of quality assurance, Million positions itself as the missing verification layer. The company's emphasis on 'proving the code actually works' suggests a rigorous, testing-oriented approach that could appeal to safety-critical or regulated industries, though the current evidence is limited to the homepage's high-level positioning.