# Pattern Computer

> Pattern Computer is a Washington-based AI company that builds a 'Pattern Discovery Engine' - a system designed to surface novel, higher-order patterns in complex, high-dimensional data that conventional tools and even exascale computers miss. Founded by technology forecaster Mark Anderson and a team that includes an Autodesk co-founder, the company focuses first on medical research and diagnostics, where its technology has improved cancer-screening accuracy and powered a reagent-free, near real-time COVID-19 test.

- **Founded:** 2016
- **Headquarters:** Friday Harbor, Washington, United States
- **Founders:** Mark Anderson (Founding Chair & CEO), Brad Holtz (Co-founder & Chief Nexus Officer), Michael Riddle (Co-founder & Chief Systems Architect (Autodesk co-founder)), Ty Carlson (Co-founder & CTO)
- **Team size:** ~25 employees
- **Products:** Pattern Discovery Engine, Reagent-free COVID-19 test, Diagnostic & research partnerships
- **Notable:** Emerged from stealth in 2018 promising a new approach to computing centered on pattern discovery, Developed a reagent-free, ~15-second COVID-19 detection method using spectroscopy and machine learning (2021), Significantly improved the predictive accuracy of Namida Lab's breast cancer screening test (2022)

## Products & services

- **Pattern Discovery Engine** — Proprietary combination of mathematics, software, and hardware that detects novel, higher-order relationships in high-dimensional data and generates explainable, testable hypotheses - going beyond conventional pattern recognition.
- **Reagent-free COVID-19 test** — A method pairing proprietary hardware (Raman/hyperspectral spectroscopy) with machine learning to detect SARS-CoV-2 in roughly 15 seconds without chemical reagents, intended for high-throughput screening at venues, checkpoints, and ports of entry.
- **Diagnostic & research partnerships** — Applying the Pattern Discovery Engine to partners' datasets to uncover previously undetectable biomarker combinations - e.g., improving the predictive accuracy of Namida Lab's tear-based breast cancer screening test.

## Achievements

- Emerged from stealth in 2018 promising a new approach to computing centered on pattern discovery
- Developed a reagent-free, ~15-second COVID-19 detection method using spectroscopy and machine learning (2021)
- Significantly improved the predictive accuracy of Namida Lab's breast cancer screening test (2022)
- Built a founding team that includes Autodesk co-founder Michael Riddle

## Latest updates

- **2022-03** — Announced that its Pattern Discovery Engine significantly improved the accuracy of Namida Lab's tear-based breast cancer screening test.
- **2022-02** — Reported latest Series B funding activity; opened office in Redmond near Microsoft.
- **2021-06** — Unveiled an accurate, reagent-free 15-second COVID-19 test combining proprietary hardware and machine learning.

## Links

- Website: https://patterncomputer.com
- LinkedIn: https://www.linkedin.com/company/pattern-computer
- Twitter/X: https://twitter.com/PatternComputer

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Profile page: https://yespress.io/pattern-computer
Published by YesPress — https://yespress.io
Last updated: 2026-06-08