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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

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Top Artificial Neural Network Software Companies

Showing 10 of 8 companies ranked by annual revenue.

1
CaCube Consulting

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

Revenue
$1M
Customers
-
Year founded
-
Funding
-
Team size
-
Growth
-
2
One Task

Balmain, New South Wales, Australia

Our world first phone detection system is able to detect illegal mobile phone use with unrivaled accuracy. Using state of the art video systems One Task is able to provide meaningful traffic analysis for local and state Government. We are experts in the application of neural networks to solve challenging modern problems.

Revenue
$880K
Customers
-
Year founded
2017
Funding
-
Team size
8
Growth
-
3
Gridhound

Aachen, Germany

Developer of a distribution management software designed to monitor, analysis, control, automation and planning of distribution grids. The company's active distribution management software utilizes machine learning technique based on artificial neural networks to estimate precisely the state of the power grid using only 10% of processing power compared to a traditional state estimation, enabling distribution network operators to get affordable real-time grid awareness as well as safe and efficient operation to distribution system operators.

Revenue
$688.4K
Customers
-
Year founded
2015
Funding
-
Team size
5
Growth
19.08%
4
deepsilicon

San Francisco, California, United States

Software and hardware to run neural networks faster and cheaper

Revenue
$440K
Customers
-
Year founded
2024
Funding
-
Team size
4
Growth
-
5
Visnet AI Technology Pvt Ltd.

Hyderabad, Telangana, India

Redefines infrastructure management with scalable neural network technology, ensuring precise defect detection and maintenance efficiency. Tailored for growth, our platform adapts to your evolving needs, setting a new standard for smart, scalable inspection.

Revenue
$440K
Customers
-
Year founded
-
Funding
-
Team size
4
Growth
-
6
Simpleem

San Francisco, California, United States

Simpleem is an AI R&D company focused on virtual human interactions. We created Artificial Emotional Intelligence (AEI) that correlates ALL signals (face expressions, body language, voice, text) with business outcomes and guides on how to leverage behavior for success. Our models trained on over 1 Billion Parameters from 10,000+ real business video calls, AEI can identify win/lose patterns and conversation results with extremely high accuracy: 94%. We help our customers to overcome personal connection barriers in remote communication with their clients/partners and improve business performance. Simpleem AEI works like a human and makes sense of various facial expressions by relying on context and past experience. Our mission is to help society achieve positive synergy and enable individuals to navigate through social and communication barriers that seem impassable.

Revenue
$330K
Customers
-
Year founded
2021
Funding
-
Team size
3
Growth
-
7
Segmentive

Berlin, Berlin, Germany

Segmentive is a breakthrough video segmentation technology for mobile empowering users to intelligently remove themselves from live backgrounds to be transported into a scene of their choice, creating impossible moments in real-time. CUTTING-EDGE VIDEO SEGMENTATION TECHNOLOGY FOR MOBILE • Despite attempts by major technology platforms, the creation of high-quality green screen style video on smartphone has been unachievable. • Even the most advanced mobile processors lack the architecture and power required, resulting in low -quality visuals that are characterised by unclear edges and disappearing subjects. TECHNOLOGY • Segmentive’s technology combines deep learning techniques with advance neural network algorithms to replicate human understanding of scene identification, on mobile and in real-time. • Deep Neural Network >> Pre-classification of each frame into background and foreground pixels uses a 92-layer, pre-trained Deep Neural Network (DNN). • Generalised Learning Vector Quantization (GLVQ) >> Fine-classification uses GLVQ algorithms to identify and update the characteristics of each frame in real-time which also autonomously learn during run time. • Third Party Information >> Our technology also allows and utilises third party information such as depth sensor from the camera lens to create additional parameters, enhancing the quality of the Segmentation. • Composition >> Software automatically weighs and combines pre-classification and fine-classification by splitting the frame into areas based on classification confidence and visual characteristics. RESULTS The ultimate mixed reality technology for smartphones, Segmentive enables users to seamlessly fuse physical and digital worlds in real-time to create innovative and unique video content that can be instantly shared or streamed in any format. GET IN TOUCH TODAY We are only an email, phone call and Whatsapp away.

Revenue
$220K
Customers
-
Year founded
2019
Funding
-
Team size
2
Growth
-
8
Rigpa.ai

Edinburgh, Scotland, United Kingdom

Fabless chip design start-up focusing on next-generation neuromorphic AI chips to accelerate future AI applications

Revenue
$220K
Customers
-
Year founded
-
Funding
-
Team size
2
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.