Antithesis, a startup developing AI-powered simulation platforms for software testing, has raised $105 million in Series A funding led by quantitative trading firm Jane Street. The platform uses AI to autonomously find bugs by simulating millions of scenarios that human testers might miss.
Unlike traditional testing tools, Antithesis creates a complete simulation environment where software runs in virtual time, allowing the AI to test months of runtime in hours. The system can automatically detect race conditions, edge cases, and security vulnerabilities that would be nearly impossible to find manually.
Funding and Technology
- $105 million Series A led by Jane Street
- AI-powered autonomous bug detection
- Time-accelerated simulation testing
- Used by companies including Palantir and MongoDB
- Plans to expand to embedded systems and IoT
The large Series A round reflects investor confidence in AI’s potential to transform software development workflows. Antithesis plans to use the funding to expand its engineering team and develop testing solutions for new domains like automotive and aerospace software.
