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.
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Showing 10 of 4 companies ranked by annual revenue.
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...
Redwood City, California, United States
We build artificial intelligence processors inspired by the brain.
Sydney, New South Wales, Australia
10x-1000x faster compute for Neural Network training
San Francisco, California, United States
CaCube Consulting is a boutique advisory and market development firm specializing in customer engagement technologies for sales and service. CaCube helps B2B SaaS providers with strategy, messaging, go-to-market, and content. I also advise enterprises on designing their solution stack and developing their technology roadmap. I provide industry analyst coverage of SalesTech, Contact Centers, Customer Experience (CX), and Artificial Intelligence (AI) for sales and services markets. Research & insights: https://cacube.substack.com Services: • Brand, mindshare, and reputation development: From message feedback and refinement to full positioning development, including launch preparation, coverage, and market amplification • Product roadmap and strategy: Strategic planning and advisory services covering product direction, competitive analysis, and market opportunities • Go-to-market and sales enablement: Comprehensive market intelligence and strategy development, including competitive analysis, persona development, and use case creation • Content development: Deep domain-backed content creation spanning content pillars, thought leadership, white papers, webinars, and customer stories through a proven methodology Office hours: https://cal.com/nicolask3/office-hours
- 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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