Cinder

Cinder is trust and safety infrastructure for online platforms and AI companies. It turns a company's content policies into agentic workflows that review user content, prompts, model outputs and reports, decide what breaks the rules, and escalate the cases that need a person. The goal is to protect a product and its users from abuse, fraud and manipulation at the volume modern platforms generate. It serves trust and safety, policy and AI safety teams, including companies shipping generative AI products and open weight models. For generative AI, Cinder offers red teaming against jailbreaks, prompt injection, harmful content, child safety risks and multimodal abuse before launch; screening of prompts, responses, tool calls and generated media in production across text, image, audio, video and headless API workflows; quality assurance that benchmarks models, agents and human reviewers against the same policy grounded data; and custom safety agents trained on a customer's own policies, evaluations and validated decisions. For established platforms it handles high volume content decisions, review queues, enforcement history and regulatory reporting considerations, and the agents improve from each review the human team makes. The site also offers wellness tools for moderators. Cinder does not publish pricing. There is no pricing page, and access is arranged through a demo, so costs are quoted per customer. The founders previously worked on counterterrorism, child safety and nation state threats at Meta and in government, and the company announced a Series B funding round of $41 million. It combines software, custom agents and services rather than selling a standalone moderation API.