Cinder is a unified intelligence platform that centralizes decision-support data for Trust and Safety teams, enabling automated moderation and streamlined case management. By providing real-time insights and customizable AI detection, Cinder addresses the challenges of inconsistent moderation and incomplete data, enhancing operational efficiency and reducing backlog.
Funding
$14M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
JVFounders
Product
Problem
Trust and Safety teams face challenges in maintaining consistent moderation, responding to emerging risks, and demonstrating the business value of their work due to fragmented tooling and incomplete data. Inefficient workflows, manual processes, and a lack of centralized data lead to moderator churn, reactive risk responses, and difficulty in measuring policy effectiveness.
Solution
Cinder is a unified intelligence platform designed to centralize decision-support data for Trust and Safety teams, enabling automated moderation, streamlined case management, and data-driven insights. The platform consolidates valuable decision data into a single location, eliminating the need to toggle between multiple tabs, spreadsheets, and applications. By providing real-time insights and customizable AI detection, Cinder empowers teams to automate workflows, measure performance, develop robust AI models, and proactively address evolving risks. Cinder's graph database and flexible schema streamline operations, empower informed moderation decisions, and drive efficient complex case investigation.
Target Audience
Cinder is designed for Trust and Safety teams at advanced AI labs, marketplaces, and content platforms who need to automate and scale moderation, manage cases and investigations, and supercharge effective AI.
Features
- Centralized platform for managing Trust and Safety operations, eliminating data silos and fragmented workflows
- Customizable AI detection models trained on proprietary data for enhanced accuracy and reduced false positives
- Real-time monitoring of incoming volume and performance metrics for proactive issue identification
- Flexible rules engine for rapidly deploying new policies and workflows without code
- Graph database for efficient complex case investigation and relationship analysis
- Robust access management with SSO integration and customizable permissions
- Audit logs and usage analytics for monitoring team activity and identifying areas for improvement
- API for Trust and Safety data, enabling engineering teams to build new detection models and interventions