Product
Product
Distributional provides an automated workflow for deeper statistical testing to identify and resolve issues throughout the AI lifecycle so AI teams have greater confidence they can rely on AI in production
Problem
AI applications are non-deterministic, non-stationary and multi-component, which combine to make it hard to rely on AI application behavior
Solution
Consistent, repeatable, complete AI software testing with Distributional to give you confidence in AI reliability
Platform
Fully integrated framework purpose-built for statistical tests. Dashboard to visualize, analyze, resolve and report out on test results. And intelligence to adapt this framework to your specific AI applications
Approach
Test across the AI lifecycle to fill the gap between evaluation and monitoring, and to make both more robust – with your production logs, golden datasets, holdout sets or simulated data
Benefits
Test with depth to boost confidence in AI reliability, automate the testing workflow to boost productivity and standardize testing to increase repeatability
Implementation
Deploy in your environment and fully integrate with your stack
Applicability
Test any AI/ML application using logs, raw data, golden datasets, holdout sets or simulated data