Voker

What is Voker?

Voker is analytics for the agentic era — helping AI product teams understand what their agents are actually doing in production, and what users asking of agents.

The problem we solve

Most teams building conversational AI have no reliable way to know if their agents are helpful, accurate, or hitting walls — until customers complain. Getting usage insights requires engineers to come through endless logs and traces. Proving agent ROI to stakeholders is guesswork.

What Voker does

• Queryable conversation timelines — search and filter agent conversations by topic, intent, and issue across your entire user base
• Agent performance tracking — quantify improvements when you update your agent; know when to roll back
• User behavior insights — detect when users are frustrated, correcting the agent, or dropping off before it impacts the business
• Self-serve analytics — PMs and business teams get answers without pulling engineers off their work

Who it's for

Teams running high-volume conversational AI: 1,000+ chat sessions/month, complex multi-turn conversations, and cross-functional stakeholders who need visibility into agent performance.

Technical details

Works with any LLM framework or model — OpenAI, Anthropic, and Gemini supported out of the box. Lightweight SDK setup (Python & Typescript). Self-hosted deployment available. You own your data.

Backed by Y Combinator

Advised by Dalton Caldwell, Founder of Standard Capital.