Overview
Distributional's adaptive testing platform
Last updated
Was this helpful?
Distributional's adaptive testing platform
Last updated
Was this helpful?
Distributional is an adaptive testing platform purpose-built for AI applications. It enables you to test AI application data at scale to define, understand, and improve your definition of AI behavior to ensure consistency and stability over time.
For access to the Distributional platform, .
Define Desired Behavior Automatically create a behavioral fingerprint from the app’s runtime logs and any existing development metrics, and generate associated tests to detect changes in that behavior over time.
Understand Changes in Behavior Get alerted when there are , understand what is changing, and pinpoint at any level of depth what is causing the change to quickly take appropriate action.
Improve Based on Changes Easily add, remove, or recalibrate over time so you always have a dynamic representation of desired state that you can use to test new models, roll out new upgrades, or accelerate new app development.
Distributional’s platform is designed to easily with your existing infrastructure, including data stores, orchestrators, alerting tools, and AI platforms. If you are already using a model evaluation framework as part of app development, those can be used as an input to further define behavior in Distributional.
Ready to start using Distributional? Head straight to our to get set up on the platform and start testing your AI application.
