Hamming AI

What Hamming AI does

Hamming AI is the category leader in voice agent QA, providing a trust platform for conversational agents. It allows users to test agents before launch, monitor them in production, and red-team risky behavior before it reaches customers. Built for teams shipping trustworthy voice and chat AI in high-stakes environments, Hamming automates call simulation and evaluation for pre-deployment QA, combined with production call analytics and monitoring to detect drift after launch. The platform helps teams validate agents, continuously monitor quality, and measure accuracy, safety, compliance, and latency, ensuring reliability improves with every release. It is built for regulated environments and offers SOC 2 Type II and HIPAA compliance.

Key capabilities

• Enterprise-grade testing with startup speed
• AI generates test scenarios from agent prompt
• Concurrent test calls across inbound, outbound, and WebRTC
• Built-in metrics (latency, hallucinations, sentiment, compliance, custom evaluators)
• Easy integration with voice platforms (SIP, LiveKit, Pipecat)
• One-click production to test conversion for replayable test cases
• Auto-generated tests and scoring
• Red-teaming suite for safety tests
• DTMF & IVR emulation
• Detailed PDF test reports
• Voice Agent Simulation Engine (like Tesla's Shadow Mode)
• Native integrations with LiveKit, Pipecat, ElevenLabs, Retell, Vapi, Hopper
• Latency & quality benchmarking (time-to-first-word, turn-taking latency, interruption handling, monologue detection)
• Component-level breakdowns (STT, LLM, TTS)
• CI/CD & REST API integration (GitHub Actions, Jenkins)
• Automated AI voice agent testing
• Call analytics
• Automated call simulation
• Evaluation for pre-deployment QA
• Production call analytics and monitoring
• Automated compliance dashboards
• Proactive failure-mode discovery

Use cases

• Test before launch
• Monitor in production
• Red-team risky behavior
• Catch regressions
• Benchmark performance
• Iterate faster on voice agents
• Ship voice agents with confidence
• Test new prompts against real production calls without risk
• Import production calls
• Auto-analyze failures across call sets
• Recommend prompt improvements
• Convert failures into test cases
• Run tests on every deploy
• Block bad prompts from reaching production
• Get instant feedback on regressions
• Automated AI voice agent testing
• Call analytics
• Ensure AI voice agents perform reliably in real-world conditions
• Automated call simulation
• Evaluation for pre-deployment QA
• Production call analytics and monitoring to detect drift after launch
• Validate agents before launch
• Continuously monitor quality in production
• Measure accuracy, safety, compliance, and latency
• Automate voice agent QA
• Production call analytics
• Governance
• Catch issues before they impact users
• Clinical trial participant screening
• HIPAA-compliant voice interactions
• Multi-language patient engagement
• Real-time call quality monitoring
• Monitor call quality and maintain high standards of patient care
• Maintain HIPAA compliance while delivering accurate information to patients
• Validate handling of complex medical terminology and patient interactions
• Catch compliance issues before they reach production
• Pre-deployment voice agent testing
• Multilingual agent validation
• Healthcare guardrail testing
• Behavioral persona testing
• Run 100-200 test calls before customers even start
• Test Spanish and other languages without hiring native speakers
• Catch healthcare guardrail violations before deployment
• Give every engineer the same testing standard, automatically
• Automating healthcare voice QA agentically
• Self-sustaining test suites grounded in real call data
• Agentic MCP-driven test infrastructure setup
• Cross-account insurance, patient, and clinic flow validation
• Proactive discovery of failure modes before they become customer-visible incidents
• Cross-account learning so new flows inherit institutional knowledge

AI approach

Hamming AI provides a trust platform for voice and chat agents, offering enterprise-grade testing and production monitoring. It auto-generates test scenarios from agent prompts, runs thousands of concurrent test calls, and provides detailed metrics for latency, hallucinations, sentiment, and compliance. The platform uses a Voice Agent Simulation Engine to turn production failures into test scenarios, predicting reality with high accuracy. It also offers a red-teaming suite for safety tests and integrates with various voice AI platforms.

Tech named: STT, LLM, TTS, telephony, Voice Agent Simulation Engine

Industries served

• High-growth startups
• Banks
• Healthtech companies
• Clinical Trials
• Customer Support
• Healthcare AI
• High Volume Recruiting
• Financial institutions
• Hospitals
• Healthcare
• Enterprise QA & governance
• Insurance
• Legal
• Home services

What it says sets it apart

• Built by ex-Tesla AI engineers
• First test report in under 10 mins
• SOC 2 Type II compliant
• HIPAA compliant (BAA available)
• AI generates test scenarios from agent prompt
• 50K+ concurrent test calls
• 50+ built-in metrics
• One-click prod → test conversion
• Auto-generated tests & scoring, no manual setup or rules required
• Curated safety tests built from patterns across many production deployments
• The flight simulator for voice agents (like Tesla's Shadow Mode)
• Voice Agent Simulation Engine turns every production failure into a test scenario automatically
• Simulations predict reality with 95%+ accuracy
• Run 50K+ concurrent test calls with real-world conditions (accents, background noise, interruptions, edge cases)
• Component-level breakdowns (STT, LLM, TTS) to pinpoint delays
• Category leader in voice agent QA
• First to market with a platform dedicated to voice agent QA
• Automated call simulation plus evaluation for pre-deployment QA, combined with production call analytics and monitoring
• Built for regulated environments where trust, privacy, and audit readiness are non-negotiable
• Programmatic test generation
• Proactive discovery of issues
• 100% HIPAA compliant testing
• Automated QA coverage of 100% of calls
• Real-time alerts for compliance issues
• 1,000+ automated test scenarios
• Standardized QA across teams
• Self-sustaining test suite grounded in real production failure data
• Agentic test infrastructure setup driven by Hamming's MCP server
• Cross-account learning for institutional knowledge transfer

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.