Top 19 Artificial Neural Network Software Companies (August 2026)
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.
What Artificial Neural Network Software Companies do
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
- $712.6M
- Employees
- 1.5K
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Top Artificial Neural Network Software Companies by revenue
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Frequently asked questions about Artificial Neural Network Software Companies
How many artificial neural network software companies are there?
Latka tracks 19 artificial neural network software companies with reported revenue. Together they generate $202.2M in annual revenue and employ 1.5K people.
How much revenue does a typical artificial neural network software company make?
The average artificial neural network software company in this list makes $10.6M a year, across 19 companies with reported revenue.
How much funding have artificial neural network software companies raised?
The 19 artificial neural network software companies tracked here have raised $712.6M in disclosed funding between them.
Related Artificial Intelligence Software categories
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.