Quality & Review
Turn uncertain data
into trusted ground truth.
Validate annotations, resolve ambiguity, surface low-confidence work, and continuously improve dataset quality with expert review, AI-assisted checks, and complete provenance.
Intelligent routing means humans focus on the examples that need actual judgment — everything else moves through automatically.
Intelligent Routing
Human attention goes only where it's needed.
Expert Validation
Specialists judge the cases that need judgment.
Complete Provenance
Every judgment keeps its who, when, and why.
Measurable Quality
Trust is a number you can watch move.
01The Challenge
Quality isn’t binary.
Real-world annotations live on a spectrum: ambiguous boundaries, honest disagreement, occluded and failing sensors, rare edge cases, and calls that only domain expertise can make. A pass/fail gate can’t see any of that.
02Route
Review what matters.
Skip what doesn’t.
Sentious combines confidence, disagreement, quality signals, historical reviewer behavior, and workflow rules to determine which examples require review and where they should go.
03Review
Give reviewers
the context to make
the right decision.
A reviewer never sees a label in isolation. Every modality plays back in sync, annotations sit beside model signals, and the complete history is one click away — so the judgment is informed, not guessed.
- Synchronized multi-camera playback
- Editable timelines and object tracks
- Model predictions and confidence
- Annotation history and diffs
- Reviewer notes and escalation
04Consensus
Turn disagreement
into signal.
Contributor disagreement can reveal ambiguous instructions, hard examples, weak taxonomies, or genuine uncertainty in the underlying data.
05Provenance
Know how every label
became ground truth.
Every annotation is stored with a complete audit trail — from initial model suggestion to final verification.
06Quality
Measure quality
at every layer.
Track accuracy, agreement, sensor completeness, and dataset readiness across your entire program.
07Expert Review
When judgment matters,
bring in the right expert.
Route specialized examples to reviewers who understand the domain, task, hardware, or environment — not simply the next available person.
08Continuous Improvement
Every correction
improves what comes next.
Reviewer insights feed back into better instructions, improved preannotations, contributor training, and more effective data collection.
Build trusted data
Better models start with
ground truth you can trust.
Use Sentious to route, review, validate, and distill real-world AI data — or partner with our expert teams to run the quality program for you.