Build & scale your
voice agents with confidence

Evaluate every component of your voice agent, identify where it fails and rapidly improve performance with an automated testing process

Benchmark providers to find the best fit for your use case

Go beyond simplistic rule-based metrics towards accurate evaluations by comparing the meaning of the transcriptions with the reference texts

Feature preview 1
Feature preview 2

Works with any
voice agent stack

Python SDK and CLI for seamless integration,
supports all major STT, TTS, and LLM providers
with more coming soon

Integration overview→Request new integration→
Deepgram
ElevenLabs
OpenAI
Google
Cartesia
Anthropic
Groq
DeepSeek
Smallest AI
Claude
Gemini
Qwen
Meta
Mistral
Cohere
Sarvam
AI21
Baidu
NVIDIA
Amazon

Proudly open source

Calibrate is committed to open source.
You can either use the hosted version or run it locally

artpark-sahai-org/calibrate★

Join the community

Talk to the team building Calibrate to get your questions answered and shape our roadmap

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Start testing with Calibrate today

Choose your path to start building better voice agents

Evaluate your agent

Speech to Text
Compare accuracy across providers on your dataset
→
LLM Evaluation
Test tool calling and response quality across models
→
Text to Speech
Automatically evaluate generated voices across providers
→
Run simulations
Simulate conversations with user personas and scenarios
→

Learn more

Watch the demo
See Calibrate in action with a guided walkthrough
→
Read documentation
Understand the core concepts underpinning Calibrate
→
Book a demo
Get a personalized walkthrough with our team
→
Guide to voice agents
Learn to build production-ready voice AI applications
→

Ready to get started?

Become a team that ships reliable voice agents beyond vibe checks