Voker GTM brain

Voker provides AI agent analytics to product and engineering teams seeking to improve agent performance and business outcomes.

category

AI agent analytics

market profile

  • text: Teams with production conversational agents need to identify user intent, failed interactions and business impact beyond raw traces.
  • text: Agent observability and evaluation products compete for instrumentation and improvement budgets.

personas

  • title: AI Product Manager
    pains:
    • Cannot self-serve patterns across agent conversations without engineering help
    • Needs to link helpfulness and resolution to conversion or retention
  • title: AI Engineering Lead
    pains:
    • Silent agent failures and knowledge gaps are buried in traces
    • Custom evaluations and reactive debugging consume engineering time
  • title: Head of Data or Analytics
    pains:
    • Agent interaction data is difficult to connect with existing user metrics
    • Stakeholders ask for repeated one-off reports

icp

  • text: Product companies with more than 1,000 agent chat sessions per month and multi-turn interactions.
  • text: Cross-functional teams operating customer-facing agents with business outcomes to measure and engineers able to instrument an SDK.

message pillars

  • text: Measure whether agents actually help users.
  • text: Make agent analytics accessible to the wider team.
  • text: Improve agents by identifying problems and tracking performance.

objections

  • objection: We already have tracing and evaluations.
    response: Compare whether existing tools let product teams measure user intent and resolution and connect them to business metrics.
  • objection: We cannot send sensitive conversations to a third party.
    response: The site lists enterprise self-hosting and data ownership; assess security and retention requirements directly.

competitors

  • name: Langfuse
    website: https://langfuse.com
    why: Offers agent observability, metrics and evaluation.
  • name: LangSmith
    website: https://www.langchain.com/langsmith
    why: Offers agent observability and evaluation for production systems.

keywords

  • AI agent analytics
  • LLM observability
  • agent conversation analytics
  • AI agent evaluation
  • agent resolution rate
  • AI agent ROI

voice

  • direct
  • product-minded
  • technical but accessible

signals

  • text: A company launches a customer-facing AI agent and starts receiving repeated complaints about its answers.
  • text: An agent team handles over 1,000 sessions monthly and needs cross-functional reporting.

stack

  • Python
  • TypeScript
  • OpenAI
  • Anthropic
  • Gemini
  • LangChain
  • CrewAI
  • Vercel AI SDK

pricing

model: freemium
starting price: Free for 2,000 events per month; Starter $80 per month

motion

hybrid

channels

  • SEO
  • developer documentation
  • blog

confidence

medium

Founders

  • name: Tyler Postle
    title: Founder
    role: Founder
    bio: Co-Founder of Voker - the Agent Analytics Platform. In previous roles, I've built data products that drive growth. I was an operator of a $100MM DTC ecomm company and ran revenue growth data science for a $10B public SaaS company. I'm passionate about building high performing teams and continuously learning.
  • name: Alex Rudolph
    title: Founder
    role: Founder
    bio: Co-Founder of Voker, providing Analytics for AI Agents

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