Cinder helps generative AI teams test before launch, screen prompts and outputs in production, and keep safeguards improving as products scale. Red teaming, policy agents, QA, escalation, and retraining work together so safety becomes part of the operating loop.
Probe your models and products against real-world abuse patterns before they ship. Test jailbreaks, prompt injection, harmful content, child-safety risks, multimodal abuse, and policy edge cases at the cadence of modern AI releases.
Screen prompts, outputs, generated media, and user interactions before they create product risk. Cinder supports policy-grounded review across text, image, audio, video, and API or headless workflows.
Benchmark models, agents, and human reviewers against the same policy-grounded data. Catch policy drift, monitor quality, surface retraining needs, and keep safety controls measurable as your product evolves.
Build agents around the specific risks your AI product faces: prompts, outputs, chats, uploads, reports, appeals, and high-risk escalations. Trained on your policies, evals, and validated decisions.
“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
