Traditional software testing assumes a predictable system. AI systems are unpredictable, uncertain and unreliable, which creates risk for AI products. To mitigate this risk, we are building a proactive AI testing platform to give AI teams confidence in the reliability of their AI and ML applications. Trust your AI through the entire AI software lifecycle.
Distributional’s framework enables AI application teams to collect and augment data, test on this data, alert on test results, triage these results, and resolve issues. Teams use Distributional’s dashboards to analyze results, triage failures, capture an audit trail, and report outcomes for governance. And Distributional’s intelligence automates data augmentation, test selection, and test calibration in an adaptive preference learning process. This platform can be deployed in your VPC and fully integrates with your stack. We are a passionate team deeply focused on solving the AI testing problem at enterprise scale. And we draw inspiration from our insightful customers, partners, advisors and investors.
Total Funding: $30M
Funding Stage: Series A
Business Stage: Scaling Up
Market: B2B
Company Size: 1 to 25
Founded: 2023
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