# Brussle

> Calibrate model confidence against recorded outcomes before deciding which judgments to automate.

Brussle helps teams compare a model's stated confidence with the outcomes of its decisions. Developers send judgments and related context through an API, record what actually happened, and use those examples to evaluate whether confidence scores reflect observed performance. Calibrated scores can help separate routine cases from decisions that need human review.

The service keeps decision history and outcome records together so teams can inspect how an automated workflow behaves over time. Its evaluation approach tests corrections on held-out data rather than treating a model's self-reported certainty as sufficient evidence. It is intended for developers adding measured decision steps to business applications and agent workflows.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/brussle
- Official website: https://brussle.com/
- Category: Artificial intelligence / AI models & model access
- Status: Launched
- Topics: AI, API, Analytics, Decision calibration, Evaluation
- Listing updated: 2026-10-30T16:50:07.939Z
- Information source: https://brussle.com/

This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.