Voker

Voker is an analytics platform designed specifically for teams building and managing AI agents. It takes the raw data from conversations between your AI agents and users and turns it into structured, understandable metrics. Instead of manually sifting through chat logs, you get a dashboard that shows things like what users are trying to accomplish (intents), when the agent makes a mistake (corrections), and when it successfully solves a problem (resolutions). This gives you a clear picture of whether your agents are genuinely helpful.

The platform works by integrating a lightweight SDK into your existing AI agent setup, supporting popular frameworks like OpenAI, Anthropic, Gemini, Langchain, and CrewAI. Once connected, it automatically collects and analyzes conversational data. What makes Voker stand out is its focus on self-service analytics, allowing product managers and business teams to access insights without constantly needing help from engineers. It provides performance intelligence by tracking trends over time and helps you connect agent performance to key business outcomes like user retention and conversion.

Voker is built for product teams that run AI agents handling a high volume of complex, multi-turn conversations. It's particularly useful for companies that need to prove the return on investment of their AI initiatives and quickly identify when an agent update has improved or degraded the user experience. Use cases include monitoring a customer support agent to reduce error rates, analyzing a travel booking agent to understand common user frustrations, or tracking the success of an internal productivity assistant.