Hamming AI

What does Hamming AI do?

Hamming AI automates voice and chat agent QA by turning an agent prompt into test scenarios, then replaying real production calls with preserved audio and timing. Teams use it to run pre-launch simulation, score conversations with 50+ built-in metrics, and add custom evaluators for compliance, accuracy, and field-specific checks. The same workflow also supports red-teaming, DTMF and IVR emulation, and latency benchmarking, so quality checks cover both conversational behavior and telephony edge cases. At scale, the platform is built for heavy test volume: it can generate 100s of tests, handle 1,000+ calls per minute, and support 1,000+ concurrent test calls. Hamming positions itself as first to market with automated voice agent QA and says it delivers a first test report in under 10 minutes. Customers include Augment, Lorikeet, Luma Health, Netomi, Maven AGI, and Synthpop, and the product is designed for regulated environments with SOC 2 Type II and HIPAA controls.

Why use Hamming AI?

• It covers the full voice-agent lifecycle, so teams can use one workflow from pre-launch simulation to production monitoring.
• Prompt-based scenario generation turns agent instructions into hundreds of tests, reducing manual case writing.
• Production call replay preserves audio and timing, which helps teams debug real failures instead of synthetic approximations.
• Native OpenTelemetry observability keeps traces, spans, and logs unified with existing monitoring workflows.
• 1,000+ concurrent test calls and 1,000+ calls per minute support enterprise-scale load and regression testing.

Who is Hamming AI for?

• QA and test engineering teams who need repeatable regression coverage for voice agents.
• Voice AI product teams who want prompt-to-test generation and faster release validation.
• Operations teams who need continuous production monitoring for call quality and drift.
• Compliance-focused teams who need security red-teaming and audit-ready evaluation signals.
• Platform engineers who need scalable, integrated testing across voice and chat workflows.

What are Hamming AI's key features?

What does Hamming AI integrate with?

• Vapi
• Retell
• 11Labs
• LiveKit
• Pipecat
• ElevenLabs
• Hopper
• GitHub Actions
• Jenkins
• Calendly
• Datadog
• Slack
• Synthflow
• Retell AI
• OpenAI
• Daily
• 11 Labs

What are Hamming AI's use cases?

How does Hamming AI work?

1. Connect your first voice or chat workflow, then use Easy integration to bring Hamming AI into your existing stack without reworking the agent setup.
2. Generate coverage from the agent prompt with Auto-generated scenarios or Auto-generate scenarios from agent prompt, then refine the cases you want to validate.
3. Replay live conversations with Production call replay or One-click prod → test to turn real calls into repeatable regression tests.
4. Run evaluations with 50+ built-in evaluation metrics, Custom evaluation metrics, and Latency & quality benchmarking to catch quality, speed, and routing issues.
5. Wire checks into CI/CD & REST API integration, then review Detailed reports and keep monitoring with continuous monitoring as the agent changes.

Frequently asked questions