Safety & Alignment

Building safety directly into the foundation.

As AI systems advance in capability, maintaining verifiable safety, alignment, and robust user safeguards is our highest imperative.

We develop rigorous mathematical guardrails, automated red-teaming harnesses, and policy distillation to ensure models act predictably and safely.

Zero data retention on enterprise APIs. Customer data is strictly never used for training foundation models without explicit contractual permission.

We regularly publish system cards, safety evaluations, vulnerability disclosure programs, and third-party independent audit findings.

Hardware-isolated sandboxing, human-in-the-loop approvals for sensitive actions, and continuous permission boundaries.

Review our System Cards

Detailed technical reports on training mitigations, bias benchmarks, and safety evaluation suites across our model family.