Voker
Analytics platform for AI agentsSee how your AI agents really perform
Highlights
What you can do with it
- An online travel company monitors its support agent and improves responses.
- A financial services firm tracks an advice agent and closes knowledge gaps.
- An e-commerce platform links agent data to user data to improve recommendations.
How to use it
- 1 Start a free trial and connect your AI agent to Voker.
- 2 Let Voker ingest conversations from your agent and its LLM framework.
- 3 Open the self-service dashboard to review intent, resolution, and dissatisfaction.
- 4 Track performance over time and look for knowledge gaps and anomalies.
- 5 Link agent data with your business data to measure conversion and retention.
Who it is for
Pros
- Turns raw conversations into structured, readable analytics
- Self-service dashboards reduce reliance on engineers
- Measures real resolution, not just volume
- Works with any LLM framework or model
Limitations
- It is aimed at teams with high volume, so small projects may see less value
- Free trial terms and pricing can change
- Insights depend on the quality and completeness of your conversation data
- The site was not reachable at capture, so confirm current availability
What Voker is
Voker is an analytics platform designed to monitor and improve AI agents. The problem it tackles is that agent logs are hard to read, so teams struggle to know whether an agent is actually useful or worth the cost. Voker turns agent interactions into structured analytics that anyone on the team can read. It classifies user intent from natural conversation, detects when a user is unhappy, and measures whether the agent truly resolved the request. It also tracks performance over time, flags knowledge gaps and anomalies, and links agent metrics to business outcomes such as conversion and retention. A free trial is offered.
What you can do with it
- Classify what users are trying to do from their conversations.
- Detect dissatisfaction and measure the real success rate of each interaction.
- Give product, analytics, and business teams self-service insights without digging logs.
- Connect agent data to business data to see effects on conversion and retention.
Who it is for
- Teams building AI agents, especially those with high conversation volume.
- Cross-functional product, analytics, and business teams that need clear answers.
- Developers using any LLM framework or model who want consistent measurement.
What to watch out for
Voker is aimed at teams with high conversation volume, so very small projects may see less value. Free trial terms and pricing can change, so confirm current details. Insights depend on the quality and completeness of your conversation data, so poor logging limits what you can learn. The site was not reachable at capture, so verify current availability before planning around it. Features and interface details may change between versions, so review the latest notes on the page before you start.
FAQ
What does Voker do?
It monitors and improves AI agents by turning conversations into structured analytics.
Who is it for?
It suits teams building AI agents, especially those with high conversation volume, plus product and analytics teams.
Which models does it support?
The vendor says it supports any LLM framework or model.
Is there a free trial?
A free trial is offered.
Why it is free
What the official page says： free trial
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
