As of August 2026, Latka tracks 19 artificial neural network software companies. They have combined revenues of $202.2M and employ 1.5K people. They have raised $712.6M.
Every company below sells artificial neural network software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
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 4 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
Latka tracks 19 artificial neural network software companies with reported revenue. Together they generate $202.2M in annual revenue and employ 1.5K people.
Luffy AI is the largest, with $3M in annual revenue, founded in 2019.
The average artificial neural network software company in this list makes $10.6M a year, across 19 companies with reported revenue.
Ranked by annual revenue, the leaders are Luffy AI, Rain Neuromorphics, Strong Compute and CaCube Consulting.
The 19 artificial neural network software companies tracked here have raised $712.6M in disclosed funding between them.
- 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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