Back to vendors
V

Voker

Also known as: Voker, Voker.ai, Invoke Labs

Visit site
Agent infrastructureindependentVerified 2026-07-08

Agent analytics platform, the Amplitude for agents, whose provider agnostic SDK turns user to agent conversations into structured analytics, automatically detecting intents, corrections, and resolutions and tying agent behavior to business outcomes so whole product teams can measure and improve agents without reading traces.

Voker is an agent analytics platform for AI product teams, positioned as the Amplitude for agents. Its thesis is that traditional observability and evals tools were built for engineers debugging individual runs and tell you nothing about patterns across hundreds or thousands of conversations, so once agents reach production nobody can easily see whether they are helpful, accurate, or hitting walls until customers complain or churn spikes. Founded by CEO Tyler Postle and CTO Alex Rudolph, who previously built AI products that helped bootstrap an ecommerce company to one hundred million dollars in revenue, Voker went through Y Combinator's summer 2024 batch and disclosed a two point two million dollar pre seed in May 2026 from Y Combinator and FundersClub.

You install the lightweight, provider agnostic SDK and Voker handles the rest, transforming user to agent interactions into structured analytics anyone on the team can use without digging through logs. It automatically detects user intents such as booking a hotel with a poolside view, corrections when the user pushes back, and agent resolutions when a task succeeds, and turns these into conversation reconstructions and queryable timelines. On top of that it tracks agent performance, identifies knowledge gaps, detects abnormalities, and, through an Outcome Correlation Engine, ties agent behavior to outcomes that matter like conversion, retention, and revenue by correlating conversational data with existing user data. The design goal is that product managers, analysts, and executives, not just engineers, can self serve the insights they need to prove ROI and iterate, rather than routing every question through engineering or stuffing raw logs into a chatbot. The company targets agents already in production handling at least one thousand conversations a month, where manual trace reading breaks down.

Voker fits AI product teams running production agents at meaningful volume who need cross conversation analytics rather than per run traces. As a focused analytics primitive it is a weaker fit for teams wanting an agent builder, orchestration, or pre deployment evaluation, none of which is its purpose.

Vendor details

Canonical URL

https://voker.ai

Category

Agent infrastructure

Subcategory

Agent analytics and observability for AI product teams

Funding status

Independent, legally Invoke Labs, Inc., based in Los Angeles and part of Y Combinator's summer 2024 batch. Disclosed two point two million dollars in pre seed funding from Y Combinator and FundersClub in May 2026, with Dalton Caldwell of Standard Capital and Partner Emeritus at Y Combinator among backers. Co founded by CEO Tyler Postle and CTO Alex Rudolph, who met at a high growth ecommerce startup they helped bootstrap to one hundred million dollars in revenue. Customers include Dutch.com, Lightfield, and True Classic.

Company status

independent

Use cases & customers

Primary use cases

Cross conversation analytics for production agentsDetecting user intents, corrections, and agent resolutionsCorrelating agent behavior with conversion, retention, and revenueSelf serve agent insights for product and business teams

Target customers

AI product teams running production agentsProduct managers and analysts measuring agent ROIEngineering teams tired of reactive trace readingCompanies with agents handling 1,000+ conversations monthly

Deployment options

Cloud

Integrations

A lightweight, provider agnostic SDK instruments any agent across frameworks, with dedicated wrappers for the leading model providers. It automatically captures events including user messages, assistant messages, and tool calls, tracking both the tools available to an agent and the tools it actually used, and correlates conversational data with the user data teams already collect.

In practice

A hotel booking agent starts getting questions about the attached cafe and restaurant. Voker surfaces that pattern across conversations, so the product team knows to add menu and reservation info rather than guessing.

A recent prompt change quietly breaks an agent's date handling. Voker's abnormality and correction detection catches it in the data before users flood Slack with complaints.

An executive asks how much revenue the agent drives. Voker's Outcome Correlation Engine ties agent behavior to conversion and retention using data the team already collects, so the PM can answer without an engineering ticket.

Capability coverage

3.5 / 14 capabilities · 25%

Integrations & Tool CallingA provider agnostic SDK instruments any agent across frameworks with dedicated wrappers per provider, capturing user messages, assistant messages, and tool calls including tools available versus tools used, and correlating with existing user data, voker.ai and Product Hunt retrieved 2026-07-08 Full
Workflow OrchestrationVoker is an analytics and observability layer that measures agents rather than orchestrating their workflows, voker.ai retrieved 2026-07-08 Unable to verify
Knowledge Grounding & RAGThe platform identifies knowledge gaps in agents as an analytics output but does not provide knowledge grounding or retrieval for agents, voker.ai retrieved 2026-07-08 Unable to verify
Human Oversight & GuardrailsVoker surfaces insights for teams to act on after the fact but provides no in loop human oversight or guardrail framework for agents, voker.ai retrieved 2026-07-08 Unable to verify
Security, Identity & GovernanceNo security certifications, identity, or governance features are documented for the analytics platform, voker.ai retrieved 2026-07-08 Unable to verify
Observability & AuditabilityObservability is the entire product: automatic intent, correction, and resolution detection, conversation reconstructions, queryable timelines, agent performance tracking, abnormality detection, and outcome correlation across thousands of conversations, voker.ai and Product Hunt retrieved 2026-07-08 Full
Memory & State PersistenceVoker persists conversation data for analytics but provides no agent memory or state persistence for agent operation, voker.ai retrieved 2026-07-08 Unable to verify
Deployment & Data ResidencyDelivered as cloud SaaS with an SDK and no self hosted or data residency options documented, voker.ai retrieved 2026-07-08 Unable to verify
Prebuilt Agents, Templates & PacksVoker ships prebuilt analytics detectors rather than prebuilt agents or templates; it is an instrumentation SDK, not an agent library, voker.ai retrieved 2026-07-08 Unable to verify
Triggers & Channel CoverageVoker passively instruments and analyzes agent interactions and does not provide triggers or channels to run agents, voker.ai retrieved 2026-07-08 Unable to verify
Model Flexibility & RoutingVoker is provider agnostic in what it can instrument but does not itself provide customer model choice or routing, voker.ai retrieved 2026-07-08 Unable to verify
APIs, SDKs & MCP ExtensibilityThe product is a lightweight provider agnostic SDK with dedicated provider wrappers, a free tier to install from day one, and queryable analytics data, voker.ai and YC profile retrieved 2026-07-08 Full
Testing, Debugging & OptimizationProvides production performance measurement, debugging of where agents fail via correction and abnormality detection, and data driven optimization to build better agents, though it explicitly positions as an alternative to traditional evals rather than a test suite, voker.ai and Product Hunt retrieved 2026-07-08 Partial
Browser & Computer UseNo browser or computer use capability is described; Voker is an analytics platform, voker.ai retrieved 2026-07-08 Unable to verify

Recent platform changes

No recent material changes tracked yet.

Pricing

Free tier of up to two thousand events per month, with paid plans that scale as agent usage grows; exact paid rates were not fully retrievable

usage based on events, where an event is a user message, assistant message, or tool call, across staged plans

Public — partialHigh variable costFree tier

What is public

The staged plan structure and a free tier are public, with the Product Hunt listing citing up to two thousand events per month free. Events are defined as user messages, assistant messages, and tool calls. Exact paid rates were not fully retrievable.

Billing mechanics

Self serve staged plans from a free tier upward, billed on events. Start free and scale as agents grow, with team invites. The company targets agents already in production handling at least one thousand conversations per month.

Cost watchouts

Events count user messages, assistant messages, and tool calls, so a chatty or tool heavy agent generates events faster than conversation counts suggest, pushing usage up tiers.

Variable cost rationale

Billing is event based, where an event is a user message, assistant message, or tool call, so cost scales directly with agent conversation and tool call volume. A production agent at the targeted one thousand plus conversations per month generates many events, so spend grows with usage.

Additional watchouts

Because billing is event based and an event includes each tool call, agents with heavy tool use will accrue events faster than a per conversation view would imply.

Sales call required

No — self-serve available

Free / trial

Free tier to capture analytics from day one, cited as up to two thousand events per month

Key ambiguities

The exact paid tier rates and event allowances above the free tier were not retrievable.

Missing data

Exact paid tier prices and per event or event allowance details above the free tier were not retrievable from fetched pages.

Verified 2026-07-08

Contact us

Found a vendor we missed? Have feedback on the index? We'd love to hear from you.