As of May 2026, there are 19 SaaS companies in Artificial Neural Network Software. They have combined revenues of $202.2M and employ 1.5K people. They have raised $532.6M and serve - customers combined.
Artificial Neural Network Software (ANN) refers to a category of applications that utilize algorithms inspired by the human brain's structure and function to process and analyze data. These systems are primarily used in machine learning tasks such as classification, regression, and clustering to drive insights from large datasets. Common use cases include image and voice recognition, natural language processing, fraud detection, and autonomous systems, among others. ANN software is characterized by its ability to learn from data, adapt to new inputs, and improve its performance over time.
Sorting: Highest -> Lowest
Showing 10 of 19 companies ranked by annual revenue.
Irvine, California, United States
Syntiant is a leader in edge-AI deployments, bringing deep-learning to any device with industry-leading Neural Decision Processors and hardware-agnostic machine learning models.
Cambridge, Massachusetts, United States
Developer of an artificial intelligence powered life sciences software platform designed to synthesize the exponentially growing biomedical knowledge. The company's platform uses neural networks (shallow and deep learning models) for real-time, automated extraction of knowledge from the scientific, regulatory and commercial body of literature, enabling healthcare enterprises to make biomedical knowledge computable.
Seattle, Washington, United States
On a mission to fuel the future of commerce by bringing brands and customers closer together, Stackline is the leading AI-enabled retail intelligence and activation platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and financial firms trust Stackline as the single source of commerce truth. Fueled by proprietary neural networks and deep learning systems, Stackline's market insights, revenue metrics, behavioral data, and autonomous functionality create the actions that determine success or failure. Founded in 2014 in Seattle, Stackline employs over 250 connected commerce professionals creating value for 7,000 global brands.
Reston, Virginia, United States
Seekr is a trusted AI company that provides a platform to build, train, and deploy AI applications, focusing on accurate, explainable solutions. It empowers enterprises and government agencies to develop reliable AI solutions.
Nantes, Nantes Cedex 3, France
MyScript is the worldwide leader in real-time handwriting recognition for all types of content (text, math, shape, music). Based on neural networks, its technology combines handwriting and artificial intelligence, leading to a natural human-machine interface.
Cambridge, Massachusetts, United States
Liquid AI is a foundation model company headquartered in Boston, Massachusetts, specializing in the development of artificial intelligence solutions, particularly through liquid neural networks.
Stockholm, Sweden
Echo State is an Information Technology & Services company that specializes in the development and application of Echo State Networks for various purposes, including soft sensor monitoring.
Milano, Lombardy, Italy
BAINSA is the new Student Association in Bocconi focusing on AI and Neuroscience. BAINSA’s methodology of bringing students into close contact with the latest technologies in AI is two-fold, in line with the two main divisions in BAINSA: - Research: we match published researchers in Artificial Intelligence...
Abingdon, England, United Kingdom
To us, AI means Adaptive Intelligence. Just as nature adapts and builds resilience, we believe control systems should always be learning and adapting to what’s happening around them. We use our unique neuro-evolution technology to train optimal, high speed AI control systems that can be safely deployed in industrial...
Sydney, New South Wales, Australia
10x-1000x faster compute for Neural Network training
- The software must provide capabilities for creating and training artificial neural networks. - It should support various data types, including unstructured data like images and text. - The solution must enable users to implement supervised, unsupervised, and reinforcement learning techniques. - It should offer tools for model evaluation and performance optimization. - The product must be able to integrate with existing data pipelines and data storage solutions. - Not just provide analytics; it must also allow for real-time predictions and inferences.
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