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Hamming AI

Also known as: Hamming

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Agent infrastructureindependentVerified 2026-06-30

Voice and chat agent QA platform that simulates thousands of test calls and monitors production calls with 50 plus voice specific metrics.

Hamming AI is a quality assurance platform built specifically for voice agents, covering the full lifecycle from pre launch testing to production monitoring. Its starting premise is that voice agents fail in ways text systems do not, through interruptions, accents, background noise, latency, and audio quality, so testing only call transcripts misses a large share of real failures. Rather than analyzing text alone, Hamming evaluates the whole audio pipeline. Its own AI voice agents place thousands of concurrent simulated calls to your agent to surface bugs before customers do, and it also handles chat agents through the same evaluation framework.

The platform auto generates test scenarios from an agent's prompts and documentation, a capability the company says it pioneered, and simulates realistic caller behavior including barge ins, long silences, emotional callers, and fast or slow speakers across more than sixty five languages and many regional accents. From there teams run concurrency and load testing, IVR testing, red teaming, and A/B tests on prompt and model changes, scoring results against more than fifty built in metrics and custom templates. Hamming reports roughly 95 percent agreement with human evaluators using a two step evaluation pipeline, and it connects to voice stacks like LiveKit, Pipecat, Retell, Vapi, and Twilio over SIP or WebRTC.

In production, Hamming monitors every call, tags and flags cases in real time, surfaces issues with LLM judges, and sends alerts before customers notice, alongside call quality and compliance reports and full transcript and trace logging. It is API first, with REST endpoints and webhooks that let teams trigger tests on every deploy and block bad prompts from reaching production through CI pipelines like GitHub Actions and Jenkins. The company emphasizes fast onboarding, with a first test call running in about ten to fifteen minutes rather than a multi month implementation, and it is SOC 2 Type II certified and HIPAA compliant.

Hamming was founded in 2024 by Sumanyu Sharma, previously Head of Data at Citizen and a Senior Staff Data Scientist at Tesla, and is a Y Combinator Summer 2024 company with offices in San Francisco, Austin, and London. It reports testing more than four million calls across over ten thousand agents and counts Podium, CallRail, Synthflow, and 11x among its customers. Pricing is organized into Startup, Agency, and Enterprise plans that are all quoted on request, with usage based scaling and free interactive demos to start.

Vendor details

Canonical URL

https://hamming.ai

Category

Agent infrastructure

Subcategory

Voice agent testing and evaluation

Funding status

Founded in 2024 by Sumanyu Sharma (CEO), previously Head of Data at Citizen and a Senior Staff Data Scientist at Tesla. A Y Combinator Summer 2024 company, with offices in San Francisco, Austin, and London (legal entity Forward Inc.). Reports testing more than four million calls across over ten thousand agents. Customers include Podium, CallRail, Synthflow, and 11x. Independent.

Company status

independent

Use cases & customers

Primary use cases

voice agent testingcall simulationproduction call monitoringvoice agent evaluationregression and compliance testing

Target customers

voice AI teamsenterprise

Deployment options

SaaS

Integrations

API first with REST APIs and webhooks for CI/CD integration through GitHub Actions, Jenkins, and other pipelines. Connects to voice stacks including LiveKit, Pipecat, Retell, Vapi, Twilio, and Webex via SIP or WebRTC, and tests agents across 65 plus languages and regional accents.

In practice

Your voice agent passes transcript tests but real callers hit failures from interruptions and accents. Hamming places thousands of simulated calls with realistic caller behavior and audio metrics to catch the failures text testing misses.

You change a prompt and worry it will regress your contact center agent. You wire Hamming into CI so every deploy runs a regression suite and blocks bad prompts from reaching production.

Your voice agents handle regulated calls and you need proof they stay on script. Hamming monitors every production call, flags compliance issues in real time, and generates the call quality and compliance reports auditors expect.

Capability coverage

5.5 / 14 capabilities · 39%

Integrations & Tool CallingConnects to voice stacks like LiveKit, Pipecat, Retell, Vapi, Twilio, and Webex over SIP or WebRTC, and integrates with CI/CD via REST APIs and webhooks, but it is a testing layer rather than a tool calling hub. Partial
Workflow OrchestrationOrchestrates test suites and simulated call campaigns but does not orchestrate production agent execution, sequencing, or branching. Unable to verify
Knowledge Grounding & RAGTests and monitors voice agents but does not provide retrieval or knowledge grounding. Unable to verify
Human Oversight & GuardrailsCompliance and trust and safety reporting, red teaming, on script enforcement, and human review through real time call tagging and flagging, but it monitors and reports rather than blocking agent actions at runtime. Partial
Security, Identity & GovernanceSOC 2 Type II certified and HIPAA compliant with compliance reporting, a solid security and compliance posture for regulated voice, though it is a testing platform rather than an identity or access governance system. Partial
Observability & AuditabilityCore product. Real time production monitoring of every call with more than fifty metrics, automatic tagging and flagging, LLM judges, alerts, call quality and compliance reports, and full transcript and trace logging. Full
Memory & State PersistencePersists call transcripts, traces, and test results, but does not provide an agent memory or state persistence layer. Unable to verify
Deployment & Data ResidencyDelivered as a hosted SaaS testing and monitoring service with no self hosted, VPC, or on premises option; data handling is addressed through SOC 2 and HIPAA compliance rather than deployment flexibility. Unable to verify
Prebuilt Agents, Templates & PacksAuto generates test scenarios and ships simulated caller personas that act as prebuilt test agents, plus custom scoring templates, though these are testing assets rather than prebuilt production agents. Partial
Triggers & Channel CoverageOperates over voice and chat channels via SIP and WebRTC, triggers tests through CI/CD and webhooks, and runs scheduled health checks with alerts, though as a testing and monitoring layer rather than an agent invocation runtime. Partial
Model Flexibility & RoutingTests agents regardless of the underlying model and supports A/B testing across prompt and model variants, but it is not a routing gateway for production model traffic. Partial
APIs, SDKs & MCP ExtensibilityAPI first with comprehensive REST endpoints and webhooks and CI/CD integration through GitHub Actions and Jenkins, though SDK breadth is less detailed and there is no MCP server. Partial
Testing, Debugging & OptimizationCore product. Automated voice agent testing via thousands of simulated calls, auto generated scenarios, concurrency and load testing, red teaming, A/B testing, prompt optimization, experiment tracking, and more than fifty evaluation metrics. Full
Browser & Computer UseNot applicable. Hamming places automated voice calls for testing and does not provide browser automation or computer use. Unable to verify

Recent platform changes

No recent material changes tracked yet.

Pricing

All plans contact sales · free demos to start

Usage based, scaling with test and monitored call volume; exact rates not publicly disclosed

Contact onlyMedium variable costTrial available

Included quota

Three plans, Startup, Agency, and Enterprise, all quoted on request. Pricing scales with usage; exact included volumes are not listed.

What is public

Hamming publishes its plan structure (Startup, Agency, Enterprise) and what each includes, but not dollar figures; all plans are quoted on request.

Billing mechanics

Usage based pricing that scales with test and monitored call volume, quoted per customer. Exact per call rates, included volumes, and seat costs are not disclosed.

Cost watchouts

Test call volume and monitored production call volume are the main cost drivers and grow with usage; exact rates are not published.

Variable cost rationale

Pricing scales with the volume of test calls and monitored production calls, so cost grows directly with how much you test and how many live calls you monitor, but exact rates are not public.

Additional watchouts

Cost scales with test and production call volume, so heavy continuous testing and high call monitoring volumes raise the bill. Plans are sales quoted, so compare total cost by test volume, monitored call volume, and seats.

Overage / add-ons

Pricing scales with usage so you pay for what you test; exact per call rates and overage terms are not disclosed.

Sales call required

Yes — required for paid access

Free / trial

Free interactive demos and signup at app.hamming.ai; Retell customers get 100 free test calls. No published free tier.

Lowest paid plan

Startup plan; pricing quoted on request

Commercial notes

Self service onboarding with a first test call in minutes, but paid plans are arranged by booking a call. Startup and Agency tiers target early stage and agency teams; Enterprise adds compliance, SLAs, and a dedicated engineer. Trusted by banks, healthtech, and high growth voice teams.

Key ambiguities

Where each plan's included volumes sit and how usage based pricing scales are not public.

Cancellation / refund

Not publicly disclosed; arranged with the vendor.

Support SLA / resale

Founder and 7 day support on Startup, priority support on Agency, and support SLAs with a dedicated support engineer on Enterprise.

Missing data

All dollar pricing, included call volumes, per call rates, and seat costs are quoted on request and not public.

Verified 2026-06-30

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Researched from public vendor sources. See Methodology.