open-source testing and observability for voice agents

Fixa is an open-source platform designed to provide extensive tools for testing and monitoring AI voice agents. It helps developers ensure their voice applications are efficient and reliable. Fixa''s features are specifically made for voice agent development, making it easy to catch issues and boost performance.

Key Features

Automated Testing: Fixa''s AI voice agents mimic calls to your system. They spot potential problems before they affect your users.

Monitor Production Calls: Keep an eye on real-time data like latency, interruptions, and call success rates to keep operations running well.

Advanced Bug Detection: Find the exact spot and cause of failures in your voice agents with detailed diagnostics.

Flexible Pricing: Pick from pay as you go options or enterprise plans with custom integrations and volume discounts.

Benefits

Fixa handles the traditional challenges of bug detection in voice agents. Instead of hiring teams to review transcripts, which is costly and inefficient, Fixa automatically finds bugs in tests and production. It offers precise and actionable insights when things go wrong, identifying issues like LLM hallucinations, interruptions, transcription errors, and sentiment errors. This helps developers make prompt changes accordingly.

Use Cases

A growing customer service company can use Fixa to run automated tests and catch potential issues before going live. This ensures a good user experience from day one.

A healthcare company can use Fixa''s monitoring tools to track production calls and detect any interruptions or failures. This ensures patients can always schedule appointments without issues.

An e-commerce company can use Fixa to pinpoint and resolve bugs, improving customer service efficiency and reducing customer wait times.

Cost/Price

Fixa offers flexible pricing options. Users can choose from pay as you go plans or enterprise plans with custom integrations and volume discounts.

Funding

The funding details of the product are not provided in the article.