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Voker

Analytics for AI agents so you can build the best agents possible.

Data & Analyticsai-agentsanalyticsllm-observabilityconversation-analyticsai-monitoringagent-performancesdk
Voker screenshot

About

Voker is an analytics platform designed to monitor and improve AI agents in production. It transforms agent-user conversations into structured analytics, enabling teams to track intents, detect failures, measure resolution rates, and connect agent performance to business outcomes. It integrates via a lightweight Python or TypeScript SDK with no infrastructure changes required.

Problem

Teams building AI agents lack structured visibility into whether agents are actually helping users, making it hard to detect failures or prove ROI without heavy engineering effort.

For

Product and engineering teams building AI agent-powered products with high conversation volumes

How it works

Developers install a lightweight SDK in two lines of code, which automatically captures agent interactions and populates a dashboard with intent detection, correction signals, resolution tracking, and business impact metrics.

Business model

freemium

Status

launched

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