Voice AI QA for startups
You're shipping fast, and every prompt change is a production risk. Zelto grades every real call, clusters what broke into Findings, and drafts the fix — so nobody on the team spends their nights listening to recordings.
The QA tax on a small team
Every voice AI startup pays it. It just usually doesn't have a name.
Founders listening to recordings
You sample 20 calls out of 2,000 and hope they're representative. The failure costing you customers is in the 1,980 you didn't hear. Zelto grades all of them.
Every prompt change is a gamble
You fix one behavior and quietly break two others, with no regression signal until a customer complains. Zelto grades every call after every change, so regressions surface as Findings within hours.
Scorecards tell you what, not why
Completion rates and latency stay green while the agent gives wrong answers fluently. Zelto grades the conversation itself — against a rubric it learns from your own traffic.
You can't justify QA headcount yet
Hiring reviewers before product-market fit is capital you don't have. Zelto replaces the repetitive 95% of call review, and clusters what it finds so one engineer can act on it.
Built for how startups actually ship
Connect in under 15 minutes
Native integrations with Vapi, Retell, Bland, LiveKit, Pipecat, ElevenLabs, and Telnyx — or one REST call for custom stacks. No SDK, no agent changes.
Get Findings, not call lists
Zelto clusters every call that failed for the same reason into one Finding, ranked by how much traffic it costs you. Ten findings, not ten thousand rows.
Ship the fix the same day
Every Finding comes with a drafted prompt fix and an optional Linear ticket. Hand it to Claude, Codex, or Cursor and close the loop on real production data.
What startup teams ask us
The questions that come up with every early-stage team. Answered honestly.
One week. One agent. Ten findings
Connect one production agent. Zelto listens, then walks you through ten findings with severity, examples, and fixes.
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