Testmachine

Testmachine is an AI-driven blockchain security platform that validates vulnerabilities through dynamic execution rather than static analysis. Its core business involves deploying reinforcement learning agents that operate on forked mainnet environments, executing real transactions to verify whether suspected vulnerabilities are actually exploitable. This approach generates proof-of-concept exploits for confirmed issues, reducing false positives.

The platform's core differentiator lies in its execution-based verification model. Traditional audits rely on static code review, which can miss composability risks that emerge after deployment. Testmachine instead tests protocols in simulated live environments, capturing how governance changes, oracle updates, and cross-protocol interactions affect security over time.

Market pain points include the prevalence of false positives in AI-generated audit reports, the inability of point-in-time audits to address post-deployment risks, and the slow pace of manual auditing. Testmachine addresses these by providing continuous, automated exploit validation with higher precision.

In the past six months, Testmachine publicly competed on AgentArena, a platform where AI audit agents face off on real smart contract challenges. The company also reported that its Azimuth tool achieved 86.3% recall on the EVMBench benchmark, outperforming other models, and validated 20 out of 22 findings (91% success rate). Additionally, Testmachine uncovered a critical vulnerability in the Virtuals AI Agent protocol that could allow attackers to artificially inflate token balances to near-maximum values.