HockeyStack, a B2B revenue intelligence platform that went through Y Combinator in 2022, said Wednesday it had closed a new funding round that lifts total capital raised to more than $50 million.
HockeyStack also unveiled its Revenue Agents for the Enterprise offering, an AI-driven platform designed to actively manage and improve a company’s sales process.
The firm touted it as “the first revenue agent that outperforms any human.”
“HockeyStack learns exactly how your company wins deals, what kills them, and then deploys expert agents to cause you more revenue. Hundreds of enterprises use HockeyStack to add tens of millions of dollars in revenue,” HockeyStack’s cofounder Emir Atli said in a video statement.
Powered by the Blueprint model, which analyzes structured and unstructured data to map how organizations generate revenue, agents are deployed across accounts to act in real time, guiding decisions and executing workflows, while management views support forecasting and team performance.
“On average, teams close 48% more deals when using HockeyStack,” the firm said.
“Revenue Agents execute 24/7, so that revenue teams can focus on what they do best: building relationships and closing deals,” CEO Buğra Gündüz noted.
HockeyStack plans to use the new funding to accelerate product development and expand its Revenue Agents platform across prospecting, new business, and customer growth. The firm also looks to scale its team across engineering, sales, customer success, and marketing.
Global AI agents industry projected to reach $183 billion by 2033
The AI agents market is projected to grow from around $7.6 billion in 2025 to approximately $183 billion by 2033 at a CAGR of 49.6%, driven by automation demand, NLP advancements, and personalized digital experiences, according to Grand View Research.
Ready-to-deploy agents lead the market, but the demand for customizable build-your-own agents is increasing. Major players such as Microsoft, Google, AWS, IBM, NVIDIA, and Baidu are driving innovation through advanced AI platforms and agent-based ecosystems.