Cybersecurity startup Empirical has raised $25 million in a Series A funding round that brings the total raised by the company to $37 million.
The new investment round was led by Brightmind Partners, with additional support from Costanoa Ventures, Hyde Park Angels (HPA), and other investors.
Founded in 2024, Chicago-based Empirical will use the fresh funding to accelerate the development of its two flagship products that help organizations predict and identify threats in the agentic AI era.
Empirical provides organizations with Foundation, a global cybersecurity model that monitors over 18,000 exploited CVEs for threat prediction, and Radiant, a predictive engine that can identify threats relevant to each organization’s environment.
The predictive models, Empirical says, deliver the intelligence that organizations need to discover risks within background noise.
According to Empirical, its solutions provide security teams, particularly in technology, healthcare, and financial services, with transparent, data-driven insights that enable them to measure and manage cyber risks.
Enhanced by AI and tailored to each organization’s unique environment, the predictive models help prioritize remediation through deeper forecasting, evidence-based risk analysis, and actionable intelligence.
Empirical was co-founded by CEO Ed Bellis, who co-founded Kenna Security, CTO Michael Roytman, who served as Chief Data Scientist at Kenna, and Chief Data Scientist Jay Jacobs, who co-created the Exploit Prediction Scoring System (EPSS).
“[At Kenna] we helped pioneer the category of risk-based vulnerability management, but it became clear that defending against AI-driven threats and the growing volume of potential exploits would require a fundamentally new approach. Today, we finally have the technology to give security teams predictive capabilities that weren’t possible before, and we came together to build that future,” Bellis said.
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