SafetyKit delivers purpose-built reviewer tooling powered by AI agents that auto-resolve obvious cases and route complex decisions to your team with full context. Deploy custom fraud detection in hours, and build intelligence that compounds with every decision.



Integrate events, tickets, listings, transactions, or user activity through API or batch feeds. No engineering rewrites required.


Use your existing rules or start with SafetyKit templates. Configure actions, thresholds, and routing in a few clicks.


The system automatically resolves obvious and repeated fraud. High risk or ambiguous cases escalate to human reviewers with full context.


Analysts use the reviewer console to resolve cases, investigate networks, and feed decisions back into the model. Accuracy improves every day as the system learns from real activity.
Ingest data in any format without engineering dependencies or lengthy integration cycles.
Match your exact risk policies instead of forcing your team to adapt to generic detection rules.
Give reviewers all context in one place instead of toggling between multiple tools and databases.
Go live in days instead of months while the system gets smarter with every decision your team makes.
Moderators get AI-recommended next steps on each case and can self-assign work. Full visibility into open, closed, and pending cases improves workload distribution. Audit trails maintain quality without additional oversight.


Merchant insights dashboard shows flags and violations across your entire case history. Identify patterns that individual reviews miss.
Every action is logged with full reporting for compliance needs. Track team performance and identify where fraud prevention can improve.


