Synthesia leads in enterprise AI video because we innovate incredibly fast. We needed a trust and safety partner that can power that speed so we chose Cinder because we wanted the best moderation system in the industry.
Deploy AI to Fight Abuse
Cinder is mission-critical infrastructure that protects platforms from abuse, fraud, and manipulation.
AI Aligned with your mission
Cinder transforms policies into agentic workflows that consistently make accurate decisions at scale.
Agents that protect your product and users
Cinder agents enforce your standards and policies across millions of decisions to protect your brand, product, and users from abuse.
Proactively detect and takedown adult content, extremism, CSAM, and other forms of policy-violating content in real time.
Learn moreTurn every incident into intelligence
Cinder agents work alongside your team and get sharper with every review your team makes.
Continuous learning from every interaction
Real-time feedback fine-tunes the agents, so enforcement and intelligence constantly improve.
Real-time detection
Agents monitor against your policies and alert your team the moment something anomalous surfaces.
Context-aware decisions
Permissioned agents can be given appropriate access to the information available in the Cinder platform and can consider content type, user history, and the precedent you've established.
Human-in-the-loop triage
Agents escalate edge cases to the right person, with context and a recommended action. You can audit, challenge, or override anything the agents do.
Control and oversight
Every decision logged, all reasoning stored. Every authoritative decision benchmarks your Agents. Evals made simple.
“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
Services
Expert services for the most important problems
Software, policy, operations, and AI support in one implementation.
AI Red teaming and evaluation
Our experts and adversarial agents test your models against real-world attacks.
Data Labeling
Get accurate, AI-ready training data at a better price with real-time evaluation and faster turnaround.
Managed operations
A BPO with incentives actually aligned to yours, and real-time oversight via the Cinder platform.
applicant fraud detection
Vet candidates for sensitive roles with the same intelligence we bring to abuse detection, integrated directly into your ATS.
A single command center for every safety workflow and tool.
Backed by enterprise-grade security and compliance
- SOC2
- GDPR
- HIPAA
Connect your policies, review teams, enforcement paths, vendors, and AI systems in one operational surface.
Your System of Record
Centralize policies, data consolidation, and AI-backed automations to improve alignment and efficiency.
DIY configuration
Empower your ops team with AI workflow builders and integrated LLMs.
Access management
Role-based permissions, SSO support, and encrypted data give teams handling sensitive content the control they need.
Third-party Integrations
Deploy Cinder standalone or connect your existing models and third-party tools such as IWF, Salesforce, StopNCII, and others.
Explainability and audit trails
Compliance documentation builds itself as you work. Track decisions, volumes, and team actions and audit at any time.
Quality assurance
Benchmark human reviewers and agents against the same labeled data. Catch policy drift before it compounds.
FAQs(6)
Yes. Cinder offers custom AI agents, hash-matching, and a configurable rules engine. Unlike off-the-shelf classifiers, Cinder's AI agents adapt to your specific policies and learn continuously from both their mistakes and successes. AI agents also adapt to your schema, so you can have them examine analytical units that actually make sense: an image, an entire conversation, a full user profile (with all its history), even a network of related entities.
Cinder's schema is very flexible. You define your schema in our UI, setting up entities, attributes, and the relationships between them. We use that structure to define how we render your entities in review settings and to enable appropriately-permissioned human decision-makers and AI agents to traverse that graph for the context necessary to make accurate decisions.
Yes. Cinder customers improve their Trust & Safety outcomes and improve efficiency at the same time. Our policy-aligned AI agents allow more content to be actioned automatically and produce far fewer false positives than off-the-shelf classifiers. Our integrated platform improves average handle time by 75% over the legacy systems still widely used in industry, and we will serve as your BPO, pricing on outcomes, not by the hour.
No. It's an API call to push data in and, for most customers, a webhook to get data out. Once integration is complete, a non-technical user can configure just about everything on their own: build queues, change policies, adjust workflows, shift actioning thresholds on AI agents, and more. All of that in the UI. The idea is to let your experts configure the system and free up your engineers to work on other problems.
Yes. Cinder orchestrates any agent. Bring your own agent, utilize ours, or a mix. Bring your in-house classifiers, custom LLM workflows, or third-party models, and run them alongside Cinder's pre-built agents in a single platform. You get unified case management, human-in-the-loop review, policy versioning, audit logs, and analytics across every agent, without rebuilding the workflow infrastructure around them every time you want to launch a new agent.
Cinder's AI agents support 100+ languages out of the box, including all major global and regional languages. Such as English, Spanish, Mandarin, Hindi, Arabic, Portuguese, Russian, Japanese, French, German, Korean, Italian, Dutch, Polish, Turkish, Indonesian, Vietnamese, and more. Because Cinder utilizes state of the art large language and vision models, coverage extends to long-tail and low-resource languages that traditional BPO moderation and rules-based systems can't economically staff.














































