As of October 2026, Latka tracks 2 artificial neural network software companies with $5M–$10M in annual revenue. They have combined revenues of $11M and employ 91 people.
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.
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Showing 2 of 2 companies ranked by annual revenue.
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.
Milan, 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...
Latka tracks 2 artificial neural network software companies with $5M–$10M in annual revenue. Together they generate $11M in annual revenue and employ 91 people.
Echo State is the largest, with $5.7M in annual revenue, founded in 2018.
The average artificial neural network software company in this list makes $5.5M a year, across 2 companies with reported revenue.
Ranked by annual revenue, the leaders are Echo State and Bocconi AI & NeuroScience Association.
- 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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