What is Flow AI?
Accelerate AI agent development using continuously evolving, validated test data. Flow AI helps teams create robust test data, addressing challenges like unpredictable real-world scenarios and evolving agent requirements. The platform ingests data from various sources, including datasets, codebases, and documentation, to understand specific use cases.
It then generates synthetic test cases, including edge cases, grounded in this data. Domain experts can validate and refine these test cases through an intuitive interface, ensuring alignment with organizational needs. The generated datasets integrate seamlessly into existing development workflows and CI/CD pipelines for automated regression testing, helping to improve agent performance and reliability in production environments.
Features
- Synthetic Data Generation: Creates comprehensive test cases grounded in your data and production environment, uncovering edge cases.
- Expert-friendly Validation UI: Secure, intuitive interface for domain experts to review, refine, and validate test cases.
- Advanced Agent Workflow Support: Generates scenarios covering APIs, databases, external resources, normal operations, and failure modes.
- Open Language Model Compatibility: Model-agnostic generation, compatible with various LLMs.
- Seamless Integration: Test sets integrate with existing development pipelines, evaluation frameworks, and observability tools.
- Data Source Ingestion: Connects to datasets, code bases, documentation, and more to understand use cases.
Use Cases
- Creating robust test data for AI agents.
- Automating regression testing for AI agent development.
- Validating AI agent performance against real-world scenarios and edge cases.
- Improving AI agent reliability and accuracy in production.
- Testing complex AI agent workflows involving tool calls and multi-step interactions.
- Accelerating the development lifecycle of AI agents.
