Distributional is a modern enterprise platform designed for AI testing and evaluation. It addresses the challenges of unpredictable and unreliable AI systems by providing a proactive testing environment. Key features include:
- Data Collection and Augmentation: Enables teams to gather and enhance data for comprehensive testing.
- Automated Testing: Facilitates automated test selection and calibration using adaptive preference learning.
- Alerting and Triage: Provides alerts on test results and tools for triaging issues.
- Governance and Reporting: Captures an audit trail and reports outcomes for governance purposes.
- Integration: Deploys within your VPC and integrates with your existing tech stack.
Use cases include ensuring the reliability of AI/ML applications, mitigating risks associated with AI deployments, and providing confidence in AI system performance throughout the software lifecycle. It targets AI application teams, risk management, and governance.
