
Natural Intelligence Systems is at the forefront of AI innovation, developing a pattern-based neuromorphic computing system inspired by the human brain's learning processes. Their core product, a Neuromorphic Machine Learning System, offers high accuracy with small datasets, is resilient to noise and imbalanced data, and provides explainable AI. This platform-as-a-service on AWS allows data scientists to build, train, and deploy models using Python and Jupyter Notebooks, integrating with existing workflows via APIs. The company aims to revolutionize AI by moving beyond traditional mathematical theories to a more natural, pattern-based approach, enabling smarter, faster, and more transparent decision-making for businesses.

Natural Intelligence Systems is at the forefront of AI innovation, developing a pattern-based neuromorphic computing system inspired by the human brain's learning processes. Their core product, a Neuromorphic Machine Learning System, offers high accuracy with small datasets, is resilient to noise and imbalanced data, and provides explainable AI. This platform-as-a-service on AWS allows data scientists to build, train, and deploy models using Python and Jupyter Notebooks, integrating with existing workflows via APIs. The company aims to revolutionize AI by moving beyond traditional mathematical theories to a more natural, pattern-based approach, enabling smarter, faster, and more transparent decision-making for businesses.
What: Pattern-based neuromorphic machine learning platform (PaaS)
Headquarters: Meridian / Boise, Idaho, USA
Founded: 2016
Team size: 11 employees
Key technical strengths: Small-data accuracy, explainability, resilience to noise, online/incremental learning
Funding: Total $6,710,000 (latest: Seed, 2022-05-09); funded by Techstars
Explainable, small-data and online/incremental machine learning for enterprise applications using neuromorphic, pattern-based architectures.
2016
Artificial intelligence; neuromorphic computing
Participated in the Techstars Starburst Space Accelerator program (2020)
“Techstars (participation / funder)”