Hamming AI has raised $3.8M in Seed funding to make AI voice agents more reliable.
Concurrency Load Testing
Simulate real-world usage patterns and stress test your voice and text agents at scale.
Hamming works with
Podium - 24/7 AI Employees
Jordan Farnworth, Director of Engineering, Podium
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.
Concurrent Load Testing & Simulation
- Test agent performance with hundreds or thousands of simultaneous conversations
- Identify bottlenecks and performance degradation under load
- Measure response latency across different concurrency levels
- Validate system stability during peak usage periods
Voice Agent Performance Benchmarking
- Benchmark response times across different providers and configurations
- Compare success rates between agent versions under load
- Measure cost efficiency at different scale levels
- Identify optimal configurations for your use case
Voice Agent Stress Testing
- Determine maximum concurrent conversation capacity
- Test recovery from overload conditions
- Validate error handling under extreme load
- Measure resource utilization at system limits