Numenta company logo

The profile is currenly unclaimed by the seller. All information is provided by CB Insights.


Series C | Alive

Total Raised


Last Raised

$11M | 9 yrs ago

About Numenta

Numenta develops core technology in machine intelligence based on a theory of the neocortex. Numenta's first product based on this technology is a cloud-based prediction engine for streaming data. Grok is a cloud-based service that finds complex patterns in data streams and generates actionable predictions in real time.

Numenta Headquarter Location

791 Middlefield Road

Redwood City, California, 94063,

United States


Predict your next investment

The CB Insights tech market intelligence platform analyzes millions of data points on venture capital, startups, patents , partnerships and news mentions to help you see tomorrow's opportunities, today.

Expert Collections containing Numenta

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Numenta is included in 2 Expert Collections, including Banking.



380 items

Startups providing solutions to banks to automate processes and operations.


Artificial Intelligence

8,717 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

Numenta Patents

Numenta has filed 61 patents.

The 3 most popular patent topics include:

  • Machine learning
  • Artificial neural networks
  • Artificial intelligence
patents chart

Application Date

Grant Date


Related Topics




Machine learning, Artificial neural networks, Classification algorithms, Parallel computing, Computer memory


Application Date


Grant Date



Related Topics

Machine learning, Artificial neural networks, Classification algorithms, Parallel computing, Computer memory



Latest Numenta News

Top 10 Python AI Open-Source Projects Aspirants Should Try in 2022

Feb 19, 2022

If you are interested in learning Python, here are the top 10 Python AI open-source projects for you to try in 2022 Working as a data scientist or data engineer, Python is a must-learn programming language . There is possibly no better way of learning Python than working on open-source projects. It will help you become skilled in the language better. Here are the top 10 Python AI open-source projects for you to try in 2022. Theano Theano lets you optimize, evaluate, and define mathematical expressions that involve multi-dimensional arrays. It is a Python library and has many features that make it a must-have for any machine learning professional. It is optimized for stability and speed and can generate dynamic C code to evaluate expressions quickly. Theano allows you to use NumPy.ndarray in its functions as well, so you get to use the capabilities of NumPy effectively. Scikit-learn Scikit-learn is a Python-based library of tools you can use for data analysis and data mining. You can reuse it in numerous contexts. It has excellent accessibility, so using it is quite easy as well. Its developers have built it on top of matplotlib, NumPy, and SciPy. Some tasks for which you can use Scikit-learn include Clustering, Regression, Classification, Model Selection, Preprocessing, and Dimensionality Reduction. To become a proper AI professional, you must be able to use this library. Chainer Chainer is a Python-based framework for working on neural networks. It supports multiple network architectures, including recurrent nets, convnets, recursive nets, and feed-forward nets. Apart from that, it allows CUDA computation so you can use a GPU with very few lines of code. You can run Chainer on many GPUs too if required. A significant advantage of Chainer is it makes debugging the code very easy, so you won’t have to put much effort in that regard. On Github, Chainer has more than 12,000 commits, so you can understand how popular it is. Caffe Caffe is a product of Berkeley AI Research and is a deep learning framework that focuses on modularity, speed, and expression. It is among the most popular open-source AI projects in Python. It has excellent architecture and speed as it can process more than 60 million images in a day. Moreover, it has a thriving community of developers who are using it for industrial applications, academic research, multimedia, and many other domains. Gensim Gensim is an open-source Python library that can analyze plain-text files for understanding their semantic structure, retrieve files that are semantically similar to that one, and perform many other tasks. It is scalable and platform-independent, like many of the Python libraries and frameworks we have discussed in this article. If you plan on using your knowledge of artificial intelligence to work on NLP (Natural Language Processing) projects, then you should study this library for sure. PyTorch PyTorch helps in facilitating research prototyping so you can deploy products faster. It allows you to transition between graph modes through TorchScript and provides distributed training you can scale. PyTorch is available on multiple cloud platforms as well and has numerous libraries and tools in its ecosystem that support NLP, computer vision, and many other solutions. To perform advanced AI implementations, you’ll have to become familiar with PyTorch. Shogun Shogun is a machine learning library (open-source) and provides many unified as well as efficient ML methods. It is not based on Python exclusively so you can use it with several other languages too such as Lua, C#, Java, R, and Ruby. It allows the combining of multiple algorithm classes, data representations, and tools so you can prototype data pipelines quickly. It has a fantastic infrastructure for testing that you can use on various OS setups. It has several exclusive algorithms as well, including Krylov methods and Multiple Kernel Learning, so learning about Shogun will surely help you in mastering AI and machine learning. Pylearn2 Based on Theano, Pylearn2 is among the most prevalent machine learning libraries among Python developers. You can use mathematical expressions to write its plugins while Theano takes care of their stabilization and optimization. On Github, Pylearn2 has more than 7k commits, and they are still growing, which shows its popularity among ML developers. Pylearn2 focuses on flexibility and provides a wide variety of features, including an interface for media (images, vectors, etc.) and cross-platform implementations. Nilearn Nilearn helps in Neuroimaging data and is a popular Python module. It uses scikit-learn (which we’ve discussed earlier) to perform various statistical actions such as decoding, modeling, connectivity analysis, and classification. Neuro-imaging is a prominent area in the medical sector and can help in solving multiple issues such as better diagnosis with higher accuracy. If you’re interested in using AI in the medical field, then this is the place to start. Numenta Numenta is based on a neocortex theory called HTM (Hierarchical Temporal Memory). Many people have developed solutions based on HTM and the software. However, there’s a lot of work going on in this project. HTM is a machine intelligence framework that’s based on neuroscience.

Numenta Web Traffic

Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
CBI Logo

Numenta Rank

  • Where is Numenta's headquarters?

    Numenta's headquarters is located at 791 Middlefield Road, Redwood City.

  • What is Numenta's latest funding round?

    Numenta's latest funding round is Series C.

  • How much did Numenta raise?

    Numenta raised a total of $23.63M.

  • Who are Numenta's competitors?

    Competitors of Numenta include Vicarious Systems and 2 more.

You May Also Like


Kuznech helps to find similar images, using statistical methods to compare images as a whole without getting into content. The company claims to have a technology to index and find similar images by up to 150 dimensions without significant calculations required.

Huma Logo

Huma offers an intelligent software solution combines predictive algorithms, AI, digital biomarkers, and data from patients. It can remotely monitor patient indicators and assist researchers and pharmaceutical companies in conducting decentralized clinical trials.


Fizyr develops, maintains, and supports software logistics integrators enabling them to apply autonomous robotics. Logo is an AI company that makes machine learning accessible to corporates and allows business users to extract key information from data, without needing prior knowledge in deploying or tuning machine learning model, with key deployments in financial services, insurance, healthcare, among other industries.

Digital Diagnostics Logo
Digital Diagnostics

Digital Diagnostics is an AI diagnostics company on a mission to transform the quality, accessibility, and affordability of healthcare. The platform includes two autonomous AI systems, IDx-DR and 3DermSpot.


BioMap specializes in research and development (R&D) and in early screening, diagnosis, drug discovery and other precision medicine products through biocomputing and artificial intelligence (AI).

Discover the right solution for your team

The CB Insights tech market intelligence platform analyzes millions of data points on vendors, products, partnerships, and patents to help your team find their next technology solution.

Request a demo

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.