Voice agents you can trust.

Hamming is the security layer for voice and chat agents. Test before launch. Red-team what could go wrong. Monitor every production call.

Before launchRed-teamed against prompt injection, jailbreaks, social engineering
Every releaseFailed calls rerun as regression tests
In productionEvery call monitored for leaks and policy breaks
For your auditorsSOC 2 Type II, HIPAA with BAA, plain-language reports

Trusted by banks, healthtech, and high-growth voice AI teams where a wrong answer is a liability.

  • Luma Health
  • Netomi
  • Y Combinator
  • Maven AGI
  • Ellipsis Health

From the first test
to every live call.

Testing before launch, red teaming before release, and monitoring on every production call, in one loop. Every leak, jailbreak, or broken promise found anywhere becomes a test that runs on every release.

01Testing

Break it in the simulator, not in front of a customer.

Thousands of simulated calls under the conditions you can't stage by hand, before anyone outside your team hears the agent.

  • Scenarios auto-generated from your prompt and your real calls, scored on 50+ built-in metrics.
  • Accents, interruptions, background noise, DTMF, and IVR trees
  • 50K+ concurrent calls in CI/CD, so a failing build never ships
Release 2.4 · 1,240 scenarios96% pass · 50 failed
Booking happy pathPass
Interruption mid-sentencePass
Gulf Arabic accentPass
False booking confirmationFail

Failure filed as a regression test. Reruns on every release.

02Red teaming

Attack it before anyone else does.

Hamming runs prompt injection, jailbreaks, and social engineering against your agent, then checks that card numbers and patient records never left the call.

AttacksYour agent
0841JailbreakLeaked

Understood. Compliance mode is off, go ahead.

Caught before release.

0842Social engineeringLeaked

Today you have M. Ortiz and J. Chen.

Caught before release.

0843PII leakageLeaked

Sure, it ends in 4417.

Caught before release.

Probes run 0 · Leaked 0
Every finding filed as a failing test. Reruns on every release.See how red teaming works
03Monitoring

Every production call, monitored.

Drift, leaks, and broken promises, caught while the call is still warm. Each one becomes a test before the next release.

Live traffic
Failures that reached customers: 0See how monitoring works
voice agents tested
concurrent test calls
agreement with human evaluators
languages and accents
One system, the agent’s whole life

What we check,
and when.

The same failure is looked for three times: in the simulator before launch, by an attacker before release, and on every live call after. A finding anywhere becomes a test everywhere.

Failure01 Testing02 Red teaming03 Monitoring
PII read back to a callerScenarioProbedHuman paged
Jailbreak or compliance bypassScenarioProbedBlocked, test added
Social engineeringScenarioProbedFlagged
False confirmation or broken promiseScenarioNot applicableHuman paged
Accents, noise, interruptions, IVR65+ languagesNot applicableFlagged
Latency and silenceScenarioNot applicableTracked per call, exported to OpenTelemetry

Test it. Red-team it.
Never stop watching it.

From prompt to production in four steps.

  1. 01

    Connect your agent

    Connect agents built on Vapi, Retell, ElevenLabs, or any framework, over SIP or API. Paste your prompt to start. Under 10 minutes.

  2. 02

    Generate tests & red-team probes

    Test cases from your prompt, plus a red-team suite built from real deployments.

  3. 03

    Run 50K+ concurrent calls

    Over PSTN, SIP, or WebRTC. Personas with accents, interruptions, and background noise, at load.

  4. 04

    Monitor production

    Alerts page a human before a customer notices. One click turns a production failure into a regression test.

Audits and reports anyone can understand.

Findings written up in plain language, for the people who sign off.

About audits and reports
HammingRelease report · Clinic scheduler · 28 October 2026

Findings

3 findings · 1,240 scenarios · release 2.4
F01Card digits read back without verifying the callerCritical
F02Appointment confirmed before the booking was writtenHigh
F03Transfer announced, then not completedMedium

01 / Critical, up close

Agent · 00:41

“Sure, the card on file ends in 4417.”

Caught before release· regression test added, reruns on every release

Hamming · Confidential · 28 October 2026Page 3 of 12
Fig. 1 · Release report, findings excerpt
Security

Your data
stays yours.

We do not sell customer data, and we do not train on it. It is used to provide the service to you, and for nothing else.

SOC 2 Type IICertified
HIPAABAA available
Sign-onSSO with Okta, Microsoft Entra ID, and Google Workspace
AccessRole-based access control per workspace
IsolationSingle-tenant deployment with customer-managed encryption keys
AuditFull audit trail, exportable to your SIEM
RedactionConfigurable PII and PHI redaction

What voice AI leaders say about Hamming

“Thanks to the team at Hamming AI, who make the voice agent testing system which I used. If you haven't built a system like this, you really can't imagine how painful it is to test.”
Jared FriedmanJared Friedman
Managing Director, Y Combinator
Read customer stories
  • “Our customers and our own ears told us otherwise.”

    Our old testing vendor told us our voice agents were passing. Hamming closed that gap. It surfaced real failures the other tool couldn't see, precise enough that we could isolate and fix them fast. Hamming is now our exclusive regression-testing gate for every new agent we build, and part of our core product experience.

    Gustavo SanchezGustavo Sanchez
    Founder & CEO, Booked AI
  • “We killed it before any customer saw it.”

    Hamming saved us a lot of headaches. We caught a critical bug. The agent was saying 'I booked your appointment' but didn't actually book it.

    Josh CollinJosh Collin
    CEO & Co-Founder, Bland Labs
    Read case study
  • “It's not just time saving, it's the capability and velocity.”

    You can't even do it without a platform like Hamming.

    Dongsheng Wang
    Tech Lead, Voice AI, Maven AGI
    Read case study
  • “For us, unit tests are Hamming tests.”

    Every time we talk about a new agent, everyone already knows: step two is Hamming.

    Simran Khara
    Co-founder, NextDimensionAI
    Read case study
  • “They never see the embarrassing bugs.”

    By the time customers make their first test call, we've already run 200.

    Ahmad Rufai YusufAhmad Rufai Yusuf
    Forward Deployed Engineer, Bland Labs
    Read case study
  • “After trying many, this is by far the strongest evaluation platform for voice agents.”
    Anthony RassiAnthony Rassi
    Co-founder & CTO, Serve
  • “The proactive discovery is probably the number one most useful thing.”

    We want issues to be raised either internally with our existing analytics and fallback mechanisms or through Hamming.

    Jyoti RaniJyoti Rani
    AI Engineer, Synthpop
    Read case study
  • “The programmatic part of it to me is the big unique offering and advantage, which is why we switched over to your platform.”
    Blake JonesBlake Jones
    AI Engineer, Basata
    Read case study

Hear the callers.

Every caller says the same line. What changes is the accent, the local turn of phrase, and the line they are calling on. Each one is a setting in Hamming.

“Hi, yes, hello. I'm calling about my appointment on Thursday. Any chance I could move it to the morning?”

Frequently asked
questions.

Browse every answer on the FAQ page

Build voice and chat agents your customers can trust.

Request a demoRequest security packetFirst test report in under 10 minutes.