See the signal.
Hive returns class-level confidence scores. TokenMead normalizes them into a clear risk model.
Upload images and video. Get structured moderation results, human-review flags and a report your team can defend.
Images and video, scored across sexual content, violence, weapons, drugs, hate and self-harm.
Thresholds route each scan to approved, human review or rejected. No silent black-box decisions.
Export a decision-ready PDF and JSON audit trail for compliance, trust and safety teams.
One focused workflow for the teams responsible for what goes live.
Hive returns class-level confidence scores. TokenMead normalizes them into a clear risk model.
Escalated frames surface timestamps and category labels so a human reviewer can move quickly.
Every scan produces a PDF summary and machine-readable JSON record with threshold and provider metadata.
Automation handles the volume. Your team owns the edge cases.
Open the workspaceJPG, PNG, WebP, GIF, MP4, WebM or M4V. Up to 20 MB per scan.
A server-side request to Hive returns class confidence scores and frame-level detail.
Approve, review or reject with thresholds configured by your administrator.
Reports remain attached to the scan for your audit and appeal workflows.
Provider credentials are encrypted at rest. Platform API keys are hashed. Scan media is private to its owner and the administrator.
The value of moderation is not the score. It is the decision you can explain.
TokenMead product principle