model-v3.7-rc
Launch readiness
48h to launchHold
- Red-team pass0%
- Safety evals0/20
- Open incidents0
- Adversarial sweep
- Customer abuse pathways
- Policy ops sign-off
- Bio/cyber red-team
YOUR MODEL SHOULD BEHAVE THE WAY YOU BUILT IT TO.
Cinder continuously evaluates, red-teams, and refines foundation model behavior so you can defend every output to regulators, partners, and the press. From pre-launch testing to ongoing safeguards.
Data labeling
Accurate, AI-ready training data with real-time evaluation and faster turnaround. Labeled by operators with deep domain expertise in the harms your model needs to handle.
AI red teaming
Test your model against the full range of real-world adversarial inputs before launch. CSAM, NCII, extremism, prompt injection, jailbreaks, and the long tail of platform-specific harms.
Quality assurance
Confusion matrices, precision/recall metrics, and side-by-side model benchmarking built in. Every performance gap traced back to a policy, a label, or a decision your team can act on.
Custom vertical agents
Deploy agents trained on your model's specific policies and your team's validated decisions. Every human review sharpens the agents. Every retraining cycle compounds accuracy.
“Cinder provided rigorous adversarial testing that matched our release velocity. Their team found important edge cases and helped us address them before launch.”
Ben Brooks, Head of Public PolicyBlack Forest Labs