Calvin Risk Enabling AI by quantifying its risk.

Key Features:

Assure safe, transparent, and trustworthy AI

Establish unique risk scores in multiple dimensions

Save time with high-quality test & monitoring standards

Use Cases:

AI governance, risk management, and compliance

Enhancing model performance by assessing technical and business KPIs

Real-life monitoring and tracking of models' behavior

Benefits:

Unmatched transparency in AI management

Establishing unique risk scores for model security

Increasing deployment efficiency and ROI on AI projects