Voker

Voker provides an analytics platform for AI agents. It helps product, engineering, data science, and leadership teams understand how agents interact with users, identify issues, and measure impact. The tool focuses on turning conversations and outcomes into structured data that teams can query and act on. It emphasizes access for non-technical stakeholders while retaining ownership of data.

Voker integrates with common LLM providers and SDKs, enabling rapid instrumentation of agent interactions. The setup guides users to install an SDK, connect agents, and start analyzing events.

Voker emphasizes building better agents through observed corrections and outcomes. It highlights capabilities like tracking intents, corrections, and resolutions, and tying these signals to costs and ROI. The platform supports a dashboard that surfaces session volume, resolution rates, token usage, and cost to give a high-level view of agent performance.

Voker outlines plans around integration and hosting options, indicating compatibility with multiple providers and data ownership. It presents a lightweight integration approach that starts with a small installation and scales as teams grow, while offering self-hosting and enterprise-oriented features.

Use cases

• Correlate agent behavior with business outcomes like retention or revenue.