Machine learning that thinks like a brain, learns rapidly, and explains itself completely. Because data scientists need to know why.
Small data-set accuracy
High accuracy with a fraction of the data. Resilient to noise and missing data.
Provides detailed interpretation of predictions for higher confidence, more transparent decisions
Auto detects anomalies and new classes and adapts to evolving data
Learn Faster with Less Data
The Natural Intelligence neuromorphic machine learning system is fundamentally different than current approaches because it is based on patterns – the same way human brains actually work. Our model delivers what no other solution in the past has succeeded in delivering.
Speed through training with efficient methods designed to be resilient to imbalanced and iimperfect data.
We’re building a world in which AI works the way people think, so that people can work smarter and live better.
A New Approach to Neuromorphic Machine Learning
Our Pattern-based Machine Learning architecture pushes past the constraints of today’s AI/ML systems by delivering more useful, understandable and actionable information while reducing the time and cost associated with collecting and labeling training data. The Neuromorphic machine learning system provides:
Reduce need to curate and label data to build Machine learning model
Add new classes without retraining entire model
Delivers rich semantic information about prediction from input to output
High resolution decision boundaries clearly identify new signatures
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We’re building a world in which AI works the way people think, so that people can work smarter and live better. Data science can’t wait for incremental change, so we’re here to change AI forever.
We’d love to work with you.