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 helps foundation model teams test failure modes before launch, turn red-team findings into safeguards, and keep improving behavior after release. From evals and release gates to QA, escalation, and retraining, Cinder gives your team an operating loop for safer deployment.
Data labeling
High-quality safety data for the harms your model needs to handle. Cinder pairs expert labeling with evaluation workflows so teams can measure, compare, and improve model behavior over time.
AI red teaming
Test your model against real-world adversarial inputs before launch, including CSAM, NCII, extremism, prompt injection, jailbreaks, and platform-specific harms. Turn findings into safeguards your team can act on.
Quality assurance
Confusion matrices, precision/recall metrics, side-by-side model benchmarking, and reviewer QA built in. Every performance gap traces back to a policy, label, eval, or workflow your team can improve.
Custom vertical agents
Deploy agents trained on your model's policies, evals, and validated decisions. Clear cases move faster, hard calls escalate with context, and every review feeds the next improvement cycle.
“What Synthesia needs now is infrastructure that can keep pace with how quickly the product and the threat landscape are moving, which is why Synthesia is combining its know-how with Cinder's technological capabilities.”
Synthesia