Voker, an agent analytics platform for AI product teams, has disclosed $2.2 million in pre-seed funding from Y Combinator and FundersClub. The investment will accelerate Voker's mission to make every AI agent interaction measurable, explainable, and aligned with real business outcomes.
As AI agents transition from prototype to production, teams face a universal challenge: there isn't a structured way to understand whether their agents are working, improving, or driving the outcomes they were built to deliver. Traditional monitoring tools were designed for SaaS, not the conversational behavior of LLM-powered agents. Without the insights that Voker provides, product teams cannot measure performance, prove ROI, or iterate with confidence.
“AI agents are shipping every day, but companies have no way to know if the agents are actually working; which leads to guessing, over-correcting, and losing users to bad experiences,” said Tyler Postle, Co-Founder and CEO at Voker. “We built Voker because the analytics layer for AI agents simply does not exist; and without it even the best-intentioned teams are flying blind. This funding lets us move faster to give product teams the visibility they need to build agents that actually deliver.”
Voker provides complete visibility into how agents perform across real user interactions. Product managers can learn the intents of users and track corrections and frustrations; engineers can stop reactive debugging; and analysts gain a structured dataset, all without manual data wrangling. With user intent detection, queryable conversation timelines, and an Outcome Correlation Engine, Voker helps teams understand which agent behaviors drive results.
“You can't improve what you can't measure. The AI agent market is exploding right now, and the companies that are best at instrumenting and improving their agents will win against those that don’t,” said Dalton Caldwell, Co-Founder of Standard Capital and Partner Emeritus at Y Combinator. “Voker is building the analytics layer that every agent-powered business needs, and that is why I funded them at Y Combinator.”
The best AI product teams are iterating on their LLM stack constantly, which is why Voker is provider agnostic. The lightweight Voker SDK can be instrumented across any framework, with dedicated wrappers for all the leading providers.
“When customers flood our Slack with the same agent issue, we're scrambling with what's going on, how widespread, how bad? We gave up on building evals: it's an endless reactive battle you can't win,” said Ves Stoyanov, Co-Founder and Head of AI at Lightfield. “Voker shows us agent performance and emergent user behavior before it lands as a customer complaint.”
The implications of this funding are significant for the AI industry. As more companies deploy AI agents, the ability to measure performance and align with business outcomes becomes critical. Voker's platform addresses a gap in the market, enabling teams to build agents that are not only functional but also accountable. For readers, this means that the AI agents they interact with are more likely to be reliable and effective, as companies using Voker can iterate based on real user feedback and data.
For more information, visit https://voker.ai/.
