Vattara enables teams to see what happens in every AI voice call before and after launch, exposing latency, cost, and failure signals across the full lifecycle.
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Features
Large Scale Call Simulation
Perform large scale AI voice call simulations to assess latency, cost, and failure patterns through a structured two-step validation workflow
Agent Definition & Configuration
Define and configure AI voice agents with clear behaviour, prompts, and system constraints before testing.
Automated Test Scenario Generation
Automatically generate realistic voice call scenarios to validate agent behaviour across edge cases and workflows.
Integrations
Platform Integrations & Ecosystem
Vattara integrates with your existing voice and AI stack to capture, test, and analyze AI voice interactions without changing production workflows.
Everything you need to test your voice agent
The complete toolkit for building production-ready voice agents
Scalable Execution
Run large-scale test simulations and analyses without impacting production systems.
Developer-First Architecture
Designed for engineering teams with APIs, flexible integrations, and workflow-friendly tooling.
Comprehensive Metrics Coverage
Track a wide range of voice, LLM, and system metrics across pre-call testing and post-call analysis.
Enterprise-Grade Security
Built with enterprise security controls to protect voice data, models, and execution metadata across environments.
Business Impact
Enable consistent efficiency across the full AI voice lifecycle
09
Minutes to first test
75%
Reduction in manual efforts
Contact us
Get in touch
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