Interpretability, evaluation, and control for AI agents
95% of GenAI pilots are failing.
Yet teams struggle to figure out why or how to fix it.
This is because traditional testing and evaluations fall short — AI agents are complex, multi-layered, and unpredictable. Current platforms leave teams stuck with vague insights and endless trial-and-error.
Soren takes a different approach towards evaluation and testing for AI agents.
We use agents to improve agents, but not in the way you might think.
With Soren, you define what’s right and wrong, and Soren’s agents ensure your AI aligns with those standards. Experiment with new workflows and architectures in seconds, and get actionable insights whenever an agent fails—no more guessing what went wrong.
Break down agent workflows to show exactly why an agent failed and what to change next—no opaque scores.
Quickly experiment with different agent architectures, tool configurations, and prompt variations in a safe, isolated environment.
Automatically validate your agents with rigorous evaluations in CI/CD to catch failures early and maintain consistent performance.
When you add an agent, modify a prompt, or even edit a tool, Soren can predict the impact on your workflow and catch failures early.