At-scale testing &
production monitoring
for AI voice agents
Simulate thousands of calls before launch, audit every live conversation, and catch regressions instantly with always-on heartbeat checks.
Trusted by industry leading teams

Backed by leading investors
Supported by industry-leading partners who champion innovation and long-term value.
Learn about our Seed Funding RoundHow Hamming works
Effortlessly test, optimize, and monitor your AI voice agents with real-world simulations and AI-driven insights.

Easy integration
Dial your SIP number or call our number to load-test, or connect straight to LiveKit / Pipecat—no SIP required. One-click import for Synthflow, Retell, VAPI, and Bland.
One-click prod → test
Convert any live conversation into a replayable test case with caller audio, ASR text, and expected intent in one click.
Auto-generated tests & scoring
We auto-generate test cases and evaluate how your voice agent performs—no manual setup or rules required.
Red-teaming suite
Run a curated set of safety tests built from patterns across many production deployments—no custom prompts required.
DTMF & IVR emulation
Simulate IVR trees, send DTMF tones, and verify your agent navigates legacy systems without human help.
Detailed reports
Receive rich PDF test reports to share results across teams—ideal for QA signoff, compliance, or stakeholder reviews.
All-in-one experimentation platform for AI voice agents
AI voice agents are hard to get right. Small changes in prompts or function call definitions can cause large changes in voice agent call quality.
Edge-case & stress testing
We simulate users with diverse accents, speaking styles, interruptions, or unexpected intents to test how your agents handle real-world variability. Identify failure points early and improve resilience before going live.

Seamless voice infra integration
We provide platform-agnostic hooks that integrate with any AI voice or chat system, so you can simulate real-world conversations at scale. Analyze conversation quality, flag issues, and logs traces for in-depth review.

Voice agent performance benchmarking
We automatically benchmark your AI agent’s performance against production calls and industry-wide standards. Track trends over time, surface weak spots, and use continuous feedback loops to drive better outcomes and agent reliability.

Trusted by AI-forward
enterprises
AI Sales Agents

“Hamming's continuous heartbeat monitoring catches regressions in production before our customers notice.”

11x - AI Sales Agents
Prabhav Jain, CEO / CTO at 11x
Clinical Trials

“Participant engagement is critical in clinical trials. Hamming's call analytics helped us identify areas where Grace was falling short, allowing us to improve faster than we imagined.”

Grove AI
Sohit Gatiganti, Co-Founder and CPO, Grove AI
Customer Support

“We rely on our AI agents to drive revenue, and Hamming ensures they perform without errors. Hamming's load testing gives us the confidence to deploy our voice agents even during high-traffic campaigns.”

Podium
Jordan Farnworth, Director of Engineering, Podium
High Volume Recruiting

“Hamming didn't just help us test our AI faster — its call quality reports highlighted subtle flaws in how we screened candidates, making our process much more robust, engaging and fair.”

PurpleFish
Martin Kess, Co-Founder and CTO, PurpleFish
AI Receptionists
“Hamming transformed how we ensure our AI receptionists handle complex calls. We can now test thousands of scenarios - from appointment scheduling to emergency escalations - giving us confidence that our 3,500+ clients receive flawless service 24/7.”

Smith.ai
Ben Clark, CTO, Smith.ai
We mimic your customers
Our voice agents are trained to mimic human conversations, including accents, background noise, and pauses.
In any language
Our AI voice agents can call your agents in any language, including English, French, German, Hindi, Spanish, Italian, and more.
English
French
German
Hindi
Spanish
Italian
and more
Listen to a sample from our collection
Experience a voice agent capable of conversing in various languages, ensuring accurate and efficient communication with users from diverse backgrounds.
Avery
Kunal
Ava
Isabella
Claude
Klaus
Built for cross-functional teams
Empower every team member to build reliable voice AI agents. Hamming unifies your entire organization around voice agent quality and performance.

Daniel
ML Engineer
I can simulate thousands of voice conversations with different accents, background noise levels, and user scenarios in minutes.

Julia
Data Scientist
I can understand exactly why certain voice conversations score poorly and quickly iterate on our conversation design to improve quality.

Carson
Product Engineer
This is like Optimizely for building AI voice agents. I can quickly test new ideas and iterate on my voice agent design.

Valentina
DevOps Engineer
We catch regressions before they reach users by automatically testing our voice agents.
Alex
QA Lead
I can systematically test voice agents against thousands of real-world scenarios to ensure 99.5% reliability before production deployment.
Helena
Test Automation Engineer
Our regression suite automatically tests every agent update against 500+ conversation paths, catching issues before they reach production.
Jitendra
QA Engineer
I can simulate challenging edge cases like background noise, interruptions, and accents that would be nearly impossible to test manually.
Kristen
Voice Experience Tester
Hamming gives me quantifiable metrics on voice agent performance, helping us maintain consistent quality standards across releases.
Sonia
Product Manager
Hamming gives me clear metrics on voice agent accuracy and user satisfaction, helping us track improvements over time.
Darryl
UX Designer
I can rapidly test new voice interaction patterns and conversation flows with real performance data.
Gustaf
Growth
By measuring voice agent reliability, we can identify and fix drop-off points in our user journey.
June
Product Manager
I can see exactly where our voice agents excel and struggle, helping me prioritize improvements that matter most to users.
Gaffney
CEO
I have the confidence to deploy voice agents knowing they've been thoroughly tested across all critical scenarios.
Lucy
CTO
I can measure voice agent performance against our quality standards and know exactly when we're ready for production.
Chloe
Head of Ops
Our voice agents improve continuously as we incorporate real conversation data and human feedback into our testing.
Chris
Head of Sales
Hamming's testing ensures our voice agents handle objections naturally and never miss qualifying questions during discovery calls.
AI Engineer

Daniel
ML Engineer
I can simulate thousands of voice conversations with different accents, background noise levels, and user scenarios in minutes.

Julia
Data Scientist
I can understand exactly why certain voice conversations score poorly and quickly iterate on our conversation design to improve quality.

Carson
Product Engineer
This is like Optimizely for building AI voice agents. I can quickly test new ideas and iterate on my voice agent design.

Valentina
DevOps Engineer
We catch regressions before they reach users by automatically testing our voice agents.
QA
Alex
QA Lead
I can systematically test voice agents against thousands of real-world scenarios to ensure 99.5% reliability before production deployment.
Helena
Test Automation Engineer
Our regression suite automatically tests every agent update against 500+ conversation paths, catching issues before they reach production.
Jitendra
QA Engineer
I can simulate challenging edge cases like background noise, interruptions, and accents that would be nearly impossible to test manually.
Kristen
Voice Experience Tester
Hamming gives me quantifiable metrics on voice agent performance, helping us maintain consistent quality standards across releases.
Product
Sonia
Product Manager
Hamming gives me clear metrics on voice agent accuracy and user satisfaction, helping us track improvements over time.
Darryl
UX Designer
I can rapidly test new voice interaction patterns and conversation flows with real performance data.
Gustaf
Growth
By measuring voice agent reliability, we can identify and fix drop-off points in our user journey.
June
Product Manager
I can see exactly where our voice agents excel and struggle, helping me prioritize improvements that matter most to users.
Domain Expert
Gaffney
CEO
I have the confidence to deploy voice agents knowing they've been thoroughly tested across all critical scenarios.
Lucy
CTO
I can measure voice agent performance against our quality standards and know exactly when we're ready for production.
Chloe
Head of Ops
Our voice agents improve continuously as we incorporate real conversation data and human feedback into our testing.
Chris
Head of Sales
Hamming's testing ensures our voice agents handle objections naturally and never miss qualifying questions during discovery calls.
Cross-industry expertise in AI voice agent testing
We're experts in supporting companies tackling high-stakes domains where making mistakes leads to high churn or regulatory consequences.
Appointment Scheduling
Handle scheduling, cancellations, and re-scheduling with confidence.
Manage multiple time zones
Verify appointment details with accuracy
Handle complex calendar conflicts
Drive-thrus
Deploy trustworthy drive-thru agents that handle complex orders with precision.
Dietary restrictions and allergies
Background noise and accent variations
High volume rush hour conditions
Customer Support
Launch 24/7 agents that consistently deliver high-quality customer service.
Maintain compliance standards
Escalate appropriately to human agents
Handle emotional conversations
Phone Follow-Ups
Deliver critical healthcare information accurately and empathetically.
HIPAA-compliant communication
Prescription reminders and instructions
Emergency escalation protocols
Personal Assistant
Manage diverse task requests effectively and reliably.
Manage flights and travel itineraries
Adapt to user preferences and workflow
Schedule and organize appointments
Coaching and Tutoring
Effectively teach and guide students towards their goals with clarity.
Simulate diverse learning scenarios
Track engagement and responsiveness
Assess clarity of explanations