
Pattern Computer uncovers actionable hypotheses and hidden structure in very-high-dimensional data to help organizations solve complex scientific and business problems. It does this via its proprietary Pattern Discovery Engine (PDE), a SaaS AI/ML platform that applies unique mathematics and proprietary algorithms to generate transparent, explainable insights (XAI) from data that resist conventional methods. The platform is used across life sciences (drug discovery, personalized medicine) and other industrial domains including materials, aerospace, veterinary medicine, air traffic operations, and finance. Pattern Computer commercializes discovered assets and integrates with existing data workflows to deliver interpretable, high-value results for enterprise customers.

Pattern Computer uncovers actionable hypotheses and hidden structure in very-high-dimensional data to help organizations solve complex scientific and business problems. It does this via its proprietary Pattern Discovery Engine (PDE), a SaaS AI/ML platform that applies unique mathematics and proprietary algorithms to generate transparent, explainable insights (XAI) from data that resist conventional methods. The platform is used across life sciences (drug discovery, personalized medicine) and other industrial domains including materials, aerospace, veterinary medicine, air traffic operations, and finance. Pattern Computer commercializes discovered assets and integrates with existing data workflows to deliver interpretable, high-value results for enterprise customers.
What: Proprietary Pattern Discovery Engine (PDE/PatternDE) that generates hypotheses and explainable insights from very high‑dimensional data.
Focus & use cases: Explainable AI (XAI) with initial emphasis on medical research and drug discovery; also applied to materials, aerospace, finance and other industrial domains.
Founding & locations: Founded 2016; headquarters Friday Harbor, WA with additional offices in Redmond, WA and San Diego, CA.
Funding & investors: Multiple funding rounds (5 rounds reported); latest listed as Series B (last funding date listed 2022-02-09); total funding reported as 26133686 USD; launched with around $6M in 2018.
Finding actionable structure and hypotheses in very high‑dimensional data across biomedical research, materials, aerospace, finance and other industrial applications.
2016
Data and Analytics
around $6,000,000
Company statement at launch (May 23, 2018) indicated approximately $6M in funding at launch.
Most recent funding date listed as 2022-02-09; reporting indicates multiple rounds (5 rounds reported) with latest round type Series B.
“Multiple investors reported, including Keiretsu Capital and angel investor networks; company materials identify Dr. J. Craig Venter as a named investor/advisory investor and list an active investor relations function.”