We’re building a platform that audits large language model (LLM) prompts to uncover safety vulnerabilities, red-teaming exploits, and compliance risks. Users can submit prompts for real-time testing against known and emerging threats. Our system flags unsafe behaviors and identifies patterns that may bypass existing safeguards. By crowdsourcing prompt evaluations at scale, we’re enabling continuous safety monitoring—and working toward a scalable alternative or complement to reinforcement learning from human feedback (RLHF).

intersafety lab

Org chart

Teams

Offices