Now in public beta

Calibrated confidence scores
for LLM outputs

Know when your LLM doesn't know. Better ECE than self-consistency — at a fraction of the cost. Integrate in minutes, not months.

How it works

1

Send your LLM output

POST the statement and the context used to generate it. Add temperature and scaling params if you have them.

2

Get a confidence score

Receive a calibrated score between 0 and 1. Higher = more confident. No hallucination, just honest uncertainty.

3

Build with confidence

Route uncertain outputs to humans, retry, or surface warnings to users. Your LLM, now genuinely self-aware.

Better than self-consistency

Our method achieves lower Expected Calibration Error with fewer inference calls.

Lower ECE
Better calibrated than self-consistency
1 call
vs. 5–20 for self-consistency
Any LLM
Works with any model or context

Built for

AI Platforms

Give your downstream customers reliability guarantees. ConfiScore becomes your calibration layer.

Legal & Compliance

Know when a document review or contract analysis needs human review. Reduce liability, stay compliant.

Financial Services

Underwriting, report QA, regulatory filings. High-stakes outputs need honest uncertainty estimates.

Ready to ship more reliable AI?

Free tier available. No credit card required.