Hamming AI

Overview

Hamming AI is an enterprise-grade quality assurance and production monitoring platform purpose-built for voice and chat agents. It provides a unified environment to test conversational AI before launch and continuously observe it in production, reducing the risk of regressions, hallucinations, and broken task execution. The platform is SOC 2 Type II certified and can support HIPAA-compliant workflows via Business Associate Agreements, making it a fit for banks, healthcare providers, and high-growth startups where reliability and compliance are non-negotiable. Teams can obtain their first test report in under 10 minutes and monitor more than 10,000 agents across deployments.

The core testing workflow spans from prompt to production in four steps. Users first connect existing agents from orchestration frameworks such as Vapi, Retell, ElevenLabs, LiveKit, Pipecat, and Hopper, or integrate a custom stack through the REST API. Hamming AI then auto-generates 15-20 test cases directly from the agent prompt, covering edge cases that are difficult to anticipate manually. Tests can be executed as 50,000+ concurrent calls over PSTN, SIP, or WebRTC, with realistic caller personas that include accents, background noise, and interruptions. The Voice Agent Simulation Engine, inspired by Tesla’s Shadow Mode, tests new prompts against recorded production calls and automatically converts production failures into new test scenarios, achieving a reported prediction accuracy of over 95%. A built-in red-teaming suite runs curated safety tests without requiring custom prompts, and DTMF/IVR emulation verifies that agents can navigate legacy phone trees and send touch-tone inputs autonomously.

In production, Hamming AI acts as an always-on observability layer. It reviews live calls to identify issues, performs 24/7 health checks, and sends alerts on important call metrics so teams can catch regressions before customers notice. The platform includes 50+ built-in metrics covering latency, hallucinations, sentiment, compliance, and custom evaluators. Component-level breakdowns—separating STT, LLM, and TTS performance—allow engineers to pinpoint exactly where delay or quality issues originate. Production conversations can be converted into replayable test cases in one click, including caller audio, ASR text, and expected intent, closing the loop between real-world failures and automated regression suites. REST APIs and CI/CD integrations, including GitHub Actions and Jenkins, let teams run tests on every deploy and block bad prompts from reaching production automatically.

Hamming AI is built for cross-functional teams: engineers can programmatically trigger tests and fetch results, QA teams can run thousands of scenarios in parallel without manual phone calls, product managers can review aggregate quality reports, and security or compliance officers can rely on detailed PDF test reports for signoff and audits. With testing available in 65+ languages and regional accents—from Gulf Arabic and South Indian accents to UK English and Latin American Spanish—the platform reflects the diversity of real customer conversations. It is used across appointment scheduling, drive-thrus, customer support, phone follow-ups, personal assistants, tutoring, clinical trials, and AI receptionist operations, delivering the velocity and confidence needed to ship voice agents that actually work.

Core capabilities

Auto-Generated Test Scenarios

Hamming AI generates 15-20 test cases automatically from your agent prompt, covering edge cases you might not think to test.

Large-Scale Load Testing

Run 50,000+ concurrent test calls over PSTN, SIP, or WebRTC, with simulated accents, background noise, and interruptions.

Production Monitoring & Alerts

Replay production calls, run 24/7 health checks, and receive metric-based alerts to catch regressions before customers notice.

50+ Built-in Metrics

Track latency, hallucinations, sentiment, compliance, and custom evaluators, with component-level STT, LLM, and TTS breakdowns.

Voice Agent Simulation Engine

Test new prompts against real production calls and automatically convert failures into replayable test scenarios—reportedly 95%+ predictive accuracy.

Red-Teaming & Safety Suite

Run a curated set of safety tests built from production patterns to identify risky behavior before launch.

DTMF & IVR Emulation

Simulate IVR trees and send DTMF tones to verify agents can navigate legacy telephony systems without human assistance.

API-First & CI/CD Integration

Use REST APIs to trigger tests, fetch results, and integrate with GitHub Actions or Jenkins to block bad prompts on every deployment.

Enterprise Security & Compliance

SOC 2 Type II certified with HIPAA Business Associate Agreements available for regulated industries.

Use cases

Pre-launch regression testing of voice and chat agents

Load testing with 50K+ concurrent simulated calls

Red-teaming conversational AI for safety and risky behavior

Production observability and 24/7 health monitoring

CI/CD prompt validation to block bad deployments

Testing IVR and DTMF navigation in legacy telephony systems

Compliance-sensitive healthcare call monitoring and HIPAA-aligned QA