Simulation and evaluation
studio for voice agents

Run simulations with realistic user personas for key scenarios and evaluate every component of your voice agent to ship with confidence

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

Speech to text preview 1
Speech to text preview 2

Choose the best LLM by evaluating multi-turn conversations

Test the agent's tool calling and response quality by defining specific edge cases and benchmark them across multiple models, proprietary or open source

LLM Evaluation preview 1
LLM Evaluation preview 2

Select the perfect voice for your agent

Automated evaluations using models that compare the reference texts with the generated audio samples without an intermediate transcription step help you select the right provider

Text to speech preview 1
Text to speech preview 2

Simulate realistic conversations to catch bugs before deployment

Define user personas and scenarios your agent should handle to run simulated conversations with automated evaluations based on metrics defined by you

Simulations preview 1

Works with any
voice agent stack

Supports all major STT, TTS, and LLM providers with more coming soon

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

Start testing with Calibrate today

Choose your path to start building better voice agents

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Become a team that ships reliable voice agents beyond vibe checks

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