BrainScore
Data Quality KPI
BrainBrowser, applied inward. Every one of your 520 enterprise connectors receives a BrainScore — the same 6-layer verification pipeline that guards against external hallucinations now scores the quality of your own data. Know exactly which connectors are degrading your525 AI models — and by how much.
Live Connector BrainScore Feed
520 connectors · Last cycle: 3h agoThe 6-Layer Internal Verification Pipeline
Freshness
Detects staleness and timestamp drift. Data older than the configured threshold is penalised proportionally.
Completeness
Measures null rate and schema conformance against the connector's expected data model.
Consistency
Cross-validates values against related connectors to detect contradictions and outliers.
Accuracy
Domain-expert models cross-check key values for plausibility within known business ranges.
Provenance
Verifies the full source chain from origin system through ETL to connector output.
Regulatory
Checks data format and content for GDPR, NIS2, and sector-specific requirements.
The First AI Platform That Tells You Why It's Wrong
Every AI failure traces back to bad data. BrainScore Data Quality is the only enterprise feature that connects connector health to model prediction accuracy — and tells you which connector cost you how many percentage points.
View full BrainPredict architecture →Data Quality Engine — Live Stream
Real-time data validation, anomaly detection, and auto-correction across your AI data fabric