Hamming AI Partners with Retell AI for Enhanced Voice Agent Testing

Sumanyu Sharma
Sumanyu Sharma
Founder & CEO
, Voice AI QA Pioneer

Has stress-tested 1M+ voice agent calls to find where they break.

November 4, 20242 min read
Hamming AI Partners with Retell AI for Enhanced Voice Agent Testing

Strengthening Voice Agent Testing with Retell AI Partnership

We partnered with Retell AI. If you're building voice agents on their platform, you can now add testing and monitoring without cobbling together extra tools yourself.

Quick filter: If you use Retell and care about production quality, this integration is for you.

What This Actually Means

A lot of Retell customers were asking us about testing. They'd build something that worked great in development, ship it, and then spend the next week finding edge cases they'd missed. Sound familiar?

This partnership makes that easier. You get 100 free automated test calls to start. The integration takes about 5 minutes if you follow the setup guide—it's SDK-based, not some complicated webhook dance.

Once you're set up: automated bug detection, real-time monitoring when things go sideways, and alerts when your agent makes mistakes or starts hallucinating. The stuff you'd build yourself if you had unlimited engineering time.

For Retell Customers

You get:

  • 100 free test calls to run your first regression suite
  • Real-time monitoring on production calls
  • Instant alerts when something breaks (mistakes, hallucinations, weird interaction patterns)
  • 5-minute setup through the SDK

The goal is catching problems before your users do.

Getting Started

  1. Check out the partnership page
  2. Reach out to claim your free test calls
  3. Run through the 5-minute integration
  4. Start seeing production monitoring data

If you're already on Retell and spending time manually testing, this should save you hours. If you're shipping to production without testing, well... this is probably overdue.

Frequently Asked Questions

Retell customers can add automated testing and production monitoring to their voice agents with a fast setup, including alerts for mistakes, hallucinations, and interaction issues. The goal is to make “ship → monitor → catch regressions early” the default workflow.

Even with a strong agent platform, reliability breaks when prompts change, upstream vendors drift, or edge-case audio and interruptions appear at scale. A dedicated QA and monitoring layer turns those failures into measurable signals and replayable tests so reliability improves over time.

Hamming helps teams track outcome and quality signals like completion and transfer rates by flow, fallback or clarification spikes, and turn-level latency percentiles, then links changes back to replayable call traces for fast root-cause analysis.

Start with your top customer journeys and test them end to end with variations for noise, accents, and interruptions. Add a regression test whenever you see a real production failure, and use canary releases plus monitoring to catch vendor or model drift quickly.

Sumanyu Sharma

Sumanyu Sharma

Founder & CEO

Previously Head of Data at Citizen, where he helped quadruple the user base. As Senior Staff Data Scientist at Tesla, grew AI-powered sales program to 100s of millions in revenue per year.

Researched AI-powered medical image search at the University of Waterloo, where he graduated with Engineering honors on dean's list.

“At Hamming, we're taking all of our learnings from Tesla and Citizen to build the future of trustworthy, safe and reliable voice AI agents.”