Review AI outputs, apply structured labels, and build gold-standard datasets — directly from production data. No spreadsheets, no ad-hoc scripts.
Custom labeling schemas. Inter-annotator agreement tracking. One-click export to fine-tuning pipelines.
Purpose-built annotation tools that connect directly to production AI data.
Review outputs with full context
See the AI output alongside the original input, model details, and automated eval scores. No copying into spreadsheets.
Custom labeling schemas
Define categories, rating scales, boolean flags, and free-text fields per project. Schemas are versioned.
Prioritized review queues
Focus on outputs that automated evals flagged as low-quality or uncertain. Don't waste time on the easy cases.
Track inter-annotator agreement
Measure label consistency across reviewers. Identify where guidelines are ambiguous and iterate.
Batch assignment
Assign review batches to annotators. Track progress per person and per queue.
Export labeled datasets
Export annotations with the original data in JSON, JSONL, or CSV — ready for fine-tuning or evaluation pipelines.
Connect labels to evals
Human annotations improve automated evaluators. Build feedback loops between human judgment and model scoring.
No technical skills required
Web-based interface. Annotators review outputs and apply labels using the schema you defined. No code, no terminal.
Quality assurance
Dataset building
Process improvement
From production data to labeled datasets — structured and auditable.
Define your schema
Create labeling categories, rating scales, and fields. Different projects can have different schemas.
→ Structured labeling schema
Build review queues
Filter production outputs by eval score, model, topic, or metadata. Assign batches to annotators.
→ Prioritized review queue
Label and review
Annotators review outputs with full context and apply structured labels. Agreement metrics update in real-time.
→ Labeled production data
Export and improve
Export labeled datasets for fine-tuning or use annotations to refine prompts and evaluation criteria.
→ Training data and improved evals
100%
of outputs available for review
Custom
labeling schemas per project
Built-in
inter-annotator agreement
1-click
export to fine-tuning