Startups · YC S24

Test your voice agent before your users do.

Connect your agent from LiveKit, Pipecat, ElevenLabs, Retell, Vapi, or Bland. Hamming generates the test scenarios, runs hundreds of tests in parallel, and shows you what breaks, all in under 10 minutes.
Setup
Testing in under 10 minutes
Support
A direct Slack channel with the founders
YC companies
A special deal

Hamming works with

All integrations
  • Vapi
  • Retell AI
  • ElevenLabs
  • LiveKit
  • Pipecat
  • OpenAI
  • Synthflow
  • Daily

Your first test run
in under 10 minutes.

One quick call to get started. No implementation project, no waiting.

  • 01

    Connect your voice agent

    Add your API key from LiveKit, Pipecat, ElevenLabs, Retell, Vapi, or Bland and your agents sync automatically. Pipecat agents can also connect directly over Daily WebRTC.
  • 02

    Generate scenarios from your prompt

    Paste your agent's system prompt and Hamming generates hundreds of test scenarios: happy paths, edge cases, accents, interruptions, background noise, and adversarial inputs. No test cases to write by hand.
  • 03

    Run tests in parallel

    Run hundreds of tests at once with simulated accents, background noise, and interruptions, and see results in minutes.
  • 04

    Debug with audio-native evaluation

    Evaluators listen to the audio itself, so they catch tone, hesitation, interruptions, and timing problems that transcript-only tools miss. You see why the agent failed, not only that it did.

Why buy voice agent testing instead of building it.

Building voice testing infrastructure sounds simple until you try. Telephony, realistic voice synthesis, LLM-based evaluation, and concurrent calls are each a project of their own.

Most teams spend months on a basic version that still lacks accents, background noise, and reliable evaluation. Then comes maintenance: every model update, every platform change, every new edge case.

With Hamming you are testing in under 10 minutes, with simulated callers that find the bugs your team would never think to test for. Your engineers stay on your product.

Testing as a sales tool.

Testing is for your buyers too. Enterprise customers evaluating voice AI want proof that your agent works, and they ask hard questions. How does it handle accents? What is the latency? Does it fail gracefully? Can a caller talk it into leaking data?

Share Hamming results that show pass rates across hundreds of scenarios, latency, accent coverage, edge case handling, and red teaming results. “Trust us” becomes “here is the data.”

Startups use Hamming results to show reliability before the pilot instead of promising fixes after it.

What startups
test first.

  • Happy paths

    Check the common calls work, like bookings, inquiries, and transfers, before users make them.
  • Edge cases

    Interruptions, silence, fast speakers, elderly callers, background noise, and unexpected input.
  • Accents and languages

    Indian, British, Southern US, Australian, and many more accents.
  • Prompt regressions

    Run your suite on every PR to catch the prompt change that broke something.
  • Tool calls

    The right tool, with the right parameters, and a graceful recovery when the tool fails.
  • Latency

    Time to first word, response times, and interruption handling across every run.

Trusted by quality-obsessed
startups.

Three voice AI startups that test before their customers do.

  • NextDimensionAI
    Read case study
    production reliability
    99%
    latency reduction
    40%
    concurrent test calls
    200+
  • faster testing cycles
    6x
    less manual testing time
    83%
    full test suite run
    15 min
  • pre-deployment tests
    200+
    testing time
    hours to minutes
    faster deployments
    3x