Human Review for Production AI

Tuor gives AI teams a shared workspace to review outputs and capture expert corrections. Turn reviews into structured data for evals and model improvement.

Human review is fragmented today

Production systems need ongoing expert review

Models encounter edge cases that require review by domain experts.

Coordinating reviews takes engineering time

Engineers spend time finding the right traces and collecting expert feedback.

Internal tools need ongoing maintenance

Permissions, audit history, and integrations add to engineering backlogs.

Feedback is hard to use

Expert corrections are scattered across tools and datasets.

Turn human review into model improvements

Route the right traces to reviewers

Send sampled traces and user-reported issues to a shared review workspace.

Give experts a focused workspace

Reviewers can approve, reject, correct, and tag outputs with the context they need.

Build structured datasets

Save corrections and annotations as structured data you can reuse.

Use corrections for model improvement

Reviewed traces become data for evals and training.

Example use cases

Production quality monitoring — Audit live traffic and investigate recurring failures.
Customer support — Review sampled replies, escalations, and user-reported mistakes.
Document extraction — Verify extracted fields against source documents.
Content moderation — Review disputed decisions, false positives, and missed violations.
Fraud and compliance — Review uncertain classifications and policy exceptions.