Why Voxeval exists
Voice agents act inside business processes where a missed policy, an incorrect tool call, or an incomplete outcome can matter more than how natural the conversation sounds.
About Voxeval
Voice agents need evidence that matches the work they do.
Voxeval is built around a simple premise: release confidence should come from workflow evidence, not a convincing conversation alone.
Fluency is not correctness
A call can sound smooth while the underlying workflow fails. The evaluation has to inspect what the agent did, what its tools did, and whether the required outcome was reached.
Business evidence over generic scores
Technical teams need findings tied to their workflows, policies, tools, and release criteria, not a score detached from the decision they have to make.
Incidents become regressions
A production failure should sharpen the next release gate. Replaying relevant incidents as repeatable evaluations helps keep the same failure from returning unnoticed.
Built for technical voice-AI teams
Voxeval focuses on the people responsible for agent behavior, integrations, evaluation, and release decisions, and on the evidence they can inspect together.