Direct Approach to AI Safety

We go straight at the system. Through red-teaming, adversarial prompts, stress tests, and transparency checks, we map where control holds—and where it breaks. The goal is simple: surface failure modes early, quantify risk clearly, and turn findings into concrete guardrails.

Can we test it until it breaks—to make it safer?