Building agents is not just an engineering effort.
The knowledge that an agent needs lives in the heads of domain experts across your organization. This context must be compiled, curated, and continuously evaluated.
02
Agent quality is a team sport.
Shipping a reliable agent requires ongoing collaboration between cross-functional teams. Domain experts review evaluation sets and refine the context that the agent leverages. Engineering takes that input to tune prompts, adjust tool definitions, and run evaluations to measure impact. Quality is not a one-time milestone; this feedback loop continues in production as edge cases emerge and policies evolve.
03
Current eval tools were not built for this.
Current solutions focus on simple, single-turn interactions and assume developers work in isolation. Real enterprise agents execute multi-step, multi-tool workflows based on idiosyncratic workflows.
The Solution
A unified platform for agent quality.
Our platform brings cross-functional stakeholders and engineering together in a single workspace to build, evaluate, and refine agents. Stakeholders curate context and label outputs, and engineers develop tools, build prompts, and measure results.
Build labeled sets and review eval results with in-line context.
All relevant context is surfaced alongside the labeled sets and agent's output, so reviewers can quickly identify gaps and provide targeted feedback.
Evaluate complex, multi-turn workflows with one button.
One-click workflows to test complex, multi-turn conversations with tool calls, database lookups, and policy-based judgment.
Compare and optimize.
Run experiments across configurations and compare pass rates, latency, cost, and token usage side-by-side.
