Validation & Delivery
Gold-standard data, quality-scored and delivered via API
Automated Quality Control
Once all 9 experts submit their corrections (3 per tier), our system automatically compares Tier 2 and Tier 3 submissions against the Tier 1 "Gold Standard."
Delta metric calculation
We measure how much the Tier 1 correction improves the original model's output. This quantifies the value of human verification.
Consensus scoring
When multiple experts agree on a correction, confidence increases. Discrepancies trigger additional review by senior Tier 1 experts.
Quality badges
Each correction receives a quality score (0-100) based on expert consensus, tier agreement, and delta improvement metrics.
Quality Scoring Example
High consensus across all tiers. Ready for production use.
Enterprise API Delivery
Gold-standard data is packaged and delivered via REST API or webhook to your ML infrastructure. Integrate with your existing training pipelines in minutes.
Real-time webhooks
Receive corrections as soon as they're validated. No polling required.
Batch exports
Download full datasets in JSONL, Parquet, or CSV for offline training.
Team dashboard
Monitor data quality, expert performance, and delivery metrics in real-time.
{
"prompt_id": "p_7G4kL2mN",
"original_prompt": "Explain quantum entanglement",
"model_output": "...",
"corrections": [
{
"expert_tier": 1,
"expert_id": "exp_8Kj2pL9",
"corrected_output": "...",
"rubric": "...",
"quality_score": 94
}
],
"delta_improvement": 0.34,
"consensus_level": "high",
"delivered_at": "2026-01-14T10:23:47Z"
}Enterprise Client Dashboard
Recent Deliveries
p_7G4kPhysicsp_8Km2Medicinep_9Lp3Lawp_1Nq4EngineeringWhy validation matters
Without multi-tier validation, you have no way to know if an expert correction is actually better than the original model output. The Delta metric quantifies improvement and ensures you only pay for corrections that genuinely enhance your model.