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[Re]train

[Re]train agents that understand your data.

Query accuracy, data interpretation, and citation — scored on your real databases and dashboards. No hallucinated numbers. No fabricated insights.

0.94
+11%
Query correctness
bi-analyst-v2
0.87
+14%
Data citation accuracy
bi-analyst-v2
2%
−78%
Hallucination rate
Down from 9%
0.83
Interpretation quality
Statistical conclusions
[Re]train

Your data team gets answers they can trust.

SQL accuracy is scored against known-correct query results — not just syntax. The trainer evaluates joins, filters, and aggregation logic, then iterates until the agent produces correct answers on unseen questions about your data.

BI agent eval · bi-analyst-v2
Query correct
0.94
Data citation
0.87
Hallucination
0.98
Interpretation
0.83
Weighted 0.90
Training progress
1.0 0.0 iterations
[Re]train

Conclusions your analysts would sign off on.

Data interpretation is scored for statistical validity — proper aggregations, correct trend identification, appropriate confidence intervals. The training curve shows improvement across iterations, measured on questions the agent hasn't seen.

[Re]train

Every number traces back to a source.

No hallucinated data points. Every figure cited with its source table, query, and timestamp. Citation accuracy is scored as F1 against ground truth — and improved with each training iteration.

0.87
+14%
Citation F1 score
0.98
✓ pass
Anti-hallucination score
0.94
+11%
Query correctness
0.83
+9%
Interpretation quality