Leading the New Era of Machine Intelligence

Numenta has developed a cohesive theory, core software technology, and numerous applications all based on principles of the neocortex. This technology lays the groundwork for the new era of machine intelligence. Our innovative work delivers breakthrough capabilities and demonstrates that a computing approach based on biological learning principles will make possible a new generation of capabilities not possible with today’s programmed computers.


Numenta announces new strategic partner, Avik Partners
Avik will apply Grok’s breakthrough technology to solving the IT department’s hardest problems. Read more here.

What Is Machine Intelligence?

Because today’s computers are programmed, they can only do exactly as they are told. In stark contrast, intelligent machines continuously and automatically learn patterns in their environment without being programmed, enabling them to tackle problems in entirely new ways. Intelligent machines that learn and act will have an enormous beneficial impact in the coming decades.

Brain as a Blueprint

The brain is the best example of an intelligent system and provides a roadmap for building intelligent machines. The brain’s center of intelligence, the neocortex, controls a wide range of functions using a common set of principles. Numenta has made significant progress discovering these principles and using them to create learning algorithms. Numenta is unique in its understanding and adherence to neocortical principles.


Numenta’s extensive technology has been validated in a wide range of applications. Our first product, Grok for IT Analytics, automatically learns changing patterns in individual servers and detects anomalies when servers behave differently from the norm. We have applied the same technology to rogue behavior detection in humans, geospatial tracking, stock volume anomaly detection and a variety of text analytics problems.


Our machine intelligence technology is called Hierarchical Temporal Memory (HTM), which is a detailed computational theory of the neocortex. At the core of HTM are time-based learning algorithms that store and recall spatial and temporal patterns. HTM is well suited to a wide variety of problems, particularly those with the following characteristics:

Our technology has been tested and implemented in software, all of which is developed with best practices and is suitable for deploying in commercial applications. Our core learning algorithms are fully documented and available in an open source project called NuPIC.


Like the brain, Numenta’s machine intelligence technology can be applied to many types of problems. We have tested it on a variety of applications to validate its broad applicability. A few of these applications are described below.

  • Grok for Stocks

    Grok for Stocks Screenshot

    Detects anomalies in publicly traded companies. Models stock price, stock volume, and Twitter volume related to top market companies. Get example application via Google Play Store, and register to give feedback.

  • Grok for IT Analytics

    Grok for IT Analtyics Screenshot

    Detects anomalies in servers and applications. Learns continuously, automatically discovers time-based patterns in data, and generalizes from experience. You can install this product today via the AWS marketplace.

    Avik Partners has assumed responsibility for Grok for IT Analytics. To sign up for their beta program and to stay informed about the transition plans from Numenta to Avik Partners, see http://grokstream.com. For more information, read the press release.

  • Rogue Behavior Detection

    Rogue Behavior Detection Screenshot

    Models normal behavior of individuals. Detects changes in behavior indicative of unauthorized file access or unauthorized trading. You can experiment with this application using your own data by downloading our sample application code below.

  • Geospatial Tracking

    Geospatial Tracking Screenshot

    Detects anomalies in the movement of people, objects, or material using speed and location data. Enables logistics optimization. You can experiment with this application using your own data by downloading our sample application code below.

Get Started


Interested in exploring our technology or developing your own application? Read our Quickstart Guide to learn how to get started. Our machine intelligence algorithms, encoders, and application code are all available on NuPIC (Numenta Platform for Intelligent Computing), our open source project.


Numenta aims to make it easy for business to develop and distribute applications that harness the power of our machine intelligence technology. Learn about licensing opportunities below or contact Numenta to inquire about potential partnerships.

For videos and whitepapers, go to our Learning Center.


Image Numenta Licensing Update and AGPLv3 Numenta Licensing Update and AGPLv3
Donna Dubinsky Image Donna Dubinsky CEO

In this post, I’d like to tell you about some changes and updates to our open source and commercial licensing strat

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Image Numenta Announces Licensing of Grok for IT Analytics to Avik Partners Numenta Announces Licensing of Grok for IT Analytics to Avik Partners
Numenta Image Numenta Press Release

REDWOOD CITY, CA –August 19, 2015— Numenta, Inc., a leader in machine intelligence, today announced a strategic par

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Image Fourth Berkeley Symposium on Energy Efficient Electronic Systems Fourth Berkeley Symposium on Energy Efficient Electronic Systems
Jeff Hawkins Image Jeff Hawkins Co-Founder
Thu, Oct 01, 2015 — Fri, Oct 02, 2015
Sutardja Dai Hall @ UC Berkeley
Berkeley, CA USA
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Image July 2015 Newsletter: Announcing Grok for Stocks - Open Source Example HTM App July 2015 Newsletter: Announcing Grok for Stocks - Open Source Example HTM App
Donna Dubinsky Image Donna Dubinsky CEO

Over the last two years, we have created a series of example applications that illustrate the capabilities of HTM.

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