Insurance Evidence Studio
Public synthetic demonstration

HIVE INSURANCE EVIDENCE STUDIO

See the evidence behind an AI performance result.

This synthetic example shows how Hive keeps the agreed measurement terms, source observations, measured result, and later corrections connected in one signed evidence record.

Synthetic demonstration only. No customer, insurer, policyholder, or coverage relationship is represented.

01

Synthetic scenario

AI Claims Review Performance Guarantee

Northstar Insurance uses Atlas AI to assist with claims review. For this synthetic example, the parties defined a measurement term requiring Atlas AI's verified output rate to remain at or above 95.00% during the evaluation period.

Hive does not determine whether the model is legally or commercially correct. Hive records the agreed terms, the referenced observations, the resulting calculation, and any later corrections so an authorized reviewer can inspect the evidence later.

TWO DISTINCT PATHS

Review first. Build only when you mean to.

A

Review a signed synthetic case

Walk through an existing signed evidence record. No identity, PIN, or account is required.

B

Advanced demonstration

Build your own synthetic case

Create synthetic terms, observations, and corrections in your browser and sign them with a local demonstration identity.

Related evidence layers

The Studio connects to the existing account workspace, receipted feeds and triggers, the quasi-parametric trigger demonstration, and the separate insurance verifier. These are connected evidence layers, not separate product claims, carrier integrations, accepted pilots, live insurance feeds, or coverage decisions.

A technical measurement does not establish loss, causation, coverage, claim validity, or payment. Actual financial loss is separately required, reviewed, and supported before any coverage or payment question can be considered.

Discuss one bounded workflow