Provides an observability platform for testing and debugging AI-powered voice agents by generating automated test cases from system prompts. It identifies and analyzes errors in both development and production environments, offering actionable recommendations to improve prompt accuracy and reduce failures. This streamlines the maintenance and optimization of voice AI systems, ensuring reliable performance in customer interactions.
Funding
Funding not disclosed
Founders
Product
Problem
AI-powered voice agents often suffer from unpredictable errors in both development and production, leading to unreliable performance and degraded customer experiences. Identifying and resolving these errors requires extensive manual testing and analysis, which is time-consuming and inefficient. Current methods lack automated tools to systematically test voice agents and provide actionable insights for improvement.
Solution
Fixa provides an observability platform designed to automate the testing and debugging of AI voice agents. The platform automatically generates test cases from system prompts, enabling comprehensive testing across various scenarios. Fixa identifies the precise location of errors in both development and production environments, offering suggested changes to the prompt to mitigate these issues. By streamlining the testing and optimization process, Fixa ensures more reliable and accurate voice AI systems.
Target Audience
The primary target audience includes developers, product managers, and quality assurance teams working on AI-powered voice agents and conversational AI systems.
Features
- Automated test case generation from system prompts
- Test agents that simulate user calls to evaluate voice agent performance
- Error pinpointing in development and production environments
- Actionable prompt change recommendations to reduce errors
- Performance analysis across various test scenarios