# Empirical Security

Startup profile on Capital Atlas: https://capitalatlas.ai/startups/empirical-security

- Industry: IT Security/Cybersecurity
- Headquarters: Chicago, US
- Website: www.empiricalsecurity.com/
- Total disclosed funding: $33M
- Latest round: Series A (Jul 17, 2026)
- Investors on record: 5

## About

Empirical Security, Inc., based in Chicago, specializes in advanced cybersecurity solutions, utilizing innovative machine learning models to predict exploitation risks of vulnerabilities, thereby enhancing organizations' security postures. In July 2026, Empirical Security, Inc. raised USD 25 million in series A funding led by Brightmind Partners, with participation from Costanoa Ventures, Hyde Park Angels, DNX Ventures and Sixty Degree Capital. Empirical Security, Inc. was founded in 2024 in Chicago, US, and operates primarily in the cybersecurity domain.  The founder's history and previous ventures are not provided, and there are no known parent companies or subsidiaries associated with Empirical Security. Empirical Security specializes in cybersecurity solutions, primarily through its flagship product, the Exploitation Prediction Scoring System (EPSS). This machine learning model forecasts the probability of exploitation of known vulnerabilities by utilizing real-time data contributed by various vendors and monitored activity from over 16,000 Common Vulnerabilities and Exposures (CVEs). EPSS is unique as it offers both global and local models; the global model integrates real-time exploitation telemetry with EPSS predictions, while the local model is specifically trained on an enterprise's unique environmental and telemetry data, thus enabling tailored decision-making processes. The clientele includes over 120 vendors that leverage the EPSS model to enhance their vulnerability management strategies. Empirical Security's products are marketed primarily in North America and Europe, catering to enterprises seeking robust cybersecurity measures tailored to their specific environments.Empirical Security generates revenue through a subscription-based model for its EPSS offerings, which may include tiered pricing based on the specific needs of the enterprise and the sophistication of the model implemented. This structure allows clients to access the predictive capabilities of EPSS at varying levels of integration and support, depending on their operational requirements. Additionally, the company may engage in partnerships with vendors to provide enhanced services and data sharing, further solidifying its market presence. The transactions are structured as direct business-to-business (B2B) collaborations, where enterprises subscribe to the services, gaining access to both the global model and the bespoke local models tailored to their data. This approach facilitates consistent revenue flow while ensuring that clients receive ongoing support and updates in a rapidly evolving cybersecurity landscape. 

The company will use the July 2026 funding to develop and deploy cybersecurity threat prediction tools that help organizations identify and prioritize potential security risks.

## Funding rounds

- Series A, Jul 17, 2026, $21M — Hyde Park Angels, DNX Ventures, Costanoa Ventures, Sixty Degree Capital, Brightmind Partners
- Seed, Aug 23, 2024, $12M — Hyde Park Angels, DNX Ventures, Costanoa Ventures, Sixty Degree Capital

## Investors

- Hyde Park Angels (https://capitalatlas.ai/funds/hyde-park-angels) — Seed, Series A
- DNX Ventures (https://capitalatlas.ai/funds/dnx-ventures) — Seed, Series A
- Costanoa Ventures (https://capitalatlas.ai/funds/costanoa-ventures) — Seed, Series A
- Sixty Degree Capital (https://capitalatlas.ai/funds/sixty-degree-capital) — Seed, Series A
- Brightmind Partners (https://capitalatlas.ai/funds/brightmind-partners) — Series A