Problem

Cinder addresses the operational problem of keeping fast-growing digital platforms safe as abuse becomes higher-volume, more sophisticated, and increasingly AI-powered. Trust and Safety teams must detect and investigate harmful content, fraud, coordinated abuse, copyright violations, and account takeovers while translating company-specific policies into consistent decisions. The stakes are particularly high for deepfake imagery, child sexual abuse material, non-consensual intimate imagery, and AI-enabled attacks, where failures can create immediate user, regulatory, reputational, and legal exposure.

The economics are substantial. Inefficient moderation systems can cost companies many millions of dollars annually through reviewer and BPO fees, engineering work to connect fragmented tools, and the operational cost of maintaining humans in the loop. The core use case is therefore real-time, policy-specific moderation and investigation at internet scale: automatically identifying and taking down severe abuse while reserving ambiguous, high-risk cases for human experts.

Product / Service

Cinder provides an AI-native Trust and Safety operations platform. Its AI agents are trained on a company’s values, policies, and data structures, then detect threats, investigate cases, and enforce policies in real time across content moderation, copyright and IP, user fraud, account takeover, and custom workflows. The platform can operate standalone or connect existing models and tools, including IWF, Salesforce, and StopNCII, while centralizing policies, data, review teams, enforcement paths, and AI systems in one operational surface.

The model is human-in-the-loop rather than fully autonomous: agents escalate edge cases with context and recommended actions, while reviewers can audit, challenge, or override decisions. Cinder also offers AI red teaming, data labeling, managed operations, and applicant-fraud detection. The intended benefit is lower review volume and BPO spend without sacrificing control; Cinder reports that its customers have automated 94% of human review, saved more than 100,000 hours, and processed more than 400 million events daily.

Market

Cinder competes in the Trust and Safety operations, AI content moderation, digital safety, and abuse-prevention software market. It sits in a growing vendor ecosystem that includes end-to-end moderation and policy-enforcement platforms such as ActiveFence and Checkstep, while third-party market research also names Moonbounce, Chatterbox Labs, Intrinsic, and VerifyMy among Cinder’s competitors. Cinder’s differentiation is its broader operating-system approach: policy-aligned agents, investigation workflows, integrations, human oversight, and managed services rather than only an off-the-shelf content classifier.

The company has clear commercial traction rather than appearing pre-revenue. Its cited customers include OpenAI, Spotify, Depop, Black Forest Labs, Synthesia, Character.AI, and Zello, and its case studies report outcomes such as more than 50% queue reduction, more than 90% reduction in CSAM and NCII vulnerability, and three times more repeat-offender accounts taken down. Cinder announced a $41 million Series B on May 12, 2026; the available materials do not provide a revenue figure, but the customer deployments, operating volumes, reported outcomes, and financing indicate an actively commercializing company.