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Top 19 Artificial Neural Network Software SaaS Companies in May 2026

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.

Companies
19
Revenue
$202.2M
Funding
$532.6M
Employees
1.5K

Filters

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Top Artificial Neural Network Software Companies

Showing 10 of 2 companies ranked by annual revenue.

1
Echo State

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.

Revenue
$5.7M
Customers
-
Year founded
2018
Funding
-
Team size
43
Growth
42.37%
2
Bocconi AI & NeuroScience Association

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...

Revenue
$5.3M
Customers
-
Year founded
-
Funding
-
Team size
48
Growth
-

Inclusion Criteria

- 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.

Artificial Neural Network Software SaaS Companies | GetLatka