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Top 178 Deep Learning Software SaaS Companies in May 2026

As of May 2026, there are 178 SaaS companies in Deep Learning Software. They have combined revenues of $3.3B and employ 16.8K people. They have raised $6.7B and serve 557.1K customers combined.

Deep Learning Software refers to a category of applications that leverage deep learning techniques to analyze data, automate processes, and derive insights. These tools use artificial neural networks to mimic human cognitive processes, allowing for complex computation and pattern recognition. Common use cases include image and speech recognition, natural language processing, and predictive analytics across various industries such as healthcare, finance, and technology. Typical features of deep learning software include data preprocessing tools, model training capabilities, performance optimization, and deployment functions. Users often span a wide range of professions, including data scientists, IT professionals, and analysts, who apply these technologies to derive actionable insights from large datasets. As the technology matures, industries are increasingly adopting these solutions to enhance decision-making processes and drive innovation in their operations.

Companies
178
Revenue
$3.3B
Funding
$6.7B
Employees
16.8K

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Top Deep Learning Software Companies

Showing 10 of 21 companies ranked by annual revenue.

1
SeqOne

Montpellier, Occitanie, France

Founded in 2017, SeqOne Genomics headquartered in Montpellier, France, is a fast-growing deep-tech company focused on turning genomic data into medically actionable insights in oncology, rare and inherited diseases. SeqOne clinical genomic analysis platform, powered by explainable AI, provides genomic labs and healthcare professionals with best-in-class accuracy, usability, and automation seamlessly across lab technologies. By streamlining complex multi-omics analysis workflows, we pave the way for a new era of personalized healthcare at scale, where genetic testing becomes as routine as traditional blood work, radically enhancing health outcomes for all. The company has won numerous awards, including the iLab award and the ARC Cancer Foundation’s Hélène Stark prize. It has been nominated twice for the prestigious Prix Galien award. Investors include Elaia, IRDI Capital Investissement, Merieux Equity Partners, Omnes, and Software Club.

Revenue
$9.5M
Customers
-
Year founded
2017
Funding
-
Team size
86
Growth
-
2
understand.ai

Karlsruhe, Germany

We believe that AI is the most powerful tool our generation has at hand. At understand. ai , we make deep learning accessible for real-world applications like self-driving cars. More Info: https://understand. ai /privacy-policy Founded in 2017 in Karlsruhe, Germany, we are the ideal annotation partner throughout...

Revenue
$8.9M
Customers
-
Year founded
2017
Funding
-
Team size
81
Growth
-
3
Verihubs

Jakarta, Indonesia

AI-powered Deepfake Detection

Revenue
$8.9M
Customers
-
Year founded
2019
Funding
-
Team size
62
Growth
-
4
GMI Cloud

Mountain View, California, United States

Provides GPU cloud solutions for AI training, inference, and deployment; focuses on high-performance infrastructure at scale.

Revenue
$7.4M
Customers
-
Year founded
2021
Funding
-
Team size
79
Growth
-
5
Quatt

Amsterdam, North Holland, Netherlands

Quatt is an ambitious start-up that was founded in 2021 by two entrepreneurs and brothers from the Netherlands. Our goal is to accelerate the transition to sustainable heating in the Netherlands and abroad. Our first product is a smart, hybrid heat pump for the Dutch market. Coming winter we will launch our second product: the All-Electric upgrade, enabling consumers to permanently say goodbye to gas, completely at their own pace. The Dutch government is strongly incentivizing 8 million homeowners to get rid of natural gas and start heating sustainably within the next few decades. Unfortunately, the current pace of heat pump installations is far too low. Therefore, Quatt is improving the overall customer experience, adding smart control software, simplifying the installation job and, last but not least, greatly enhancing the aesthetics. By doing so, we want to increase adoption by an order of magnitude. We have developed a highly advanced control system based on several AI technologies, like machine learning and deep learning. This system enables us to operate our heat pumps, in conjunction with already installed natural gas heaters, in the most cost- or energy-efficient way, at any given day. This can reduce gas by up to 80%. By combining this with D2C sales & installation, Quatt is aiming to reach a payback time of 3-4 years; and thus a very quick uplift in sales. We are working towards an installed base of 3 million heat pumps.

Revenue
$6.9M
Customers
-
Year founded
2021
Funding
$27.5M
Team size
63
Growth
-
6
BIOS Health

Cambridge, England, United Kingdom

Neural interfaces to understand and use nerve data in medicine.

Revenue
$6.8M
Customers
-
Year founded
-
Funding
-
Team size
24
Growth
-
7
Atomwise

San Francisco, California, United States

Artificial intelligence for drug discovery.

Revenue
$6.8M
Customers
-
Year founded
2012
Funding
-
Team size
43
Growth
-
8
Micropsi Industries

Berlin, Berlin, Germany

Developer of robot control system designed for complex assembly tasks. The company's robots perform movements that react to minute changes in the environment, as perceived by the robot with cameras or force sensors, and are trained through demonstration, correction and repetition, enabling users to create skills without writing a single line of code or modelling the problem.

Revenue
$6.7M
Customers
-
Year founded
2014
Funding
-
Team size
69
Growth
87.27%
9
Periodic Labs

Menlo Park, United States

Periodic Labs uses AI to analyze large-scale scientific data and collaborates with academic and industry partners to support material science research. It aims to build AI that can accelerate discoveries in physics, chemistry and other fields.

Revenue
$6.6M
Customers
-
Year founded
2025
Funding
$300M
Team size
33
Growth
-
10
ProovStation

Lyon, Auvergne-Rhône-Alpes, France

Operating in 13 European countries, ProovStation is a DeepTech start-up specializing in computer vision. Since 2017, its goal has been to scale up, automate and standardize the automotive inspection process worldwide to automatically estimate repair costs. Its mission is to reduce the total cost of vehicle inspection and increase the efficiency of the entire process to improve the customer and employee experience. ProovStation develops a range of high-tech vehicle scanners which, assisted by a combined array of optical technologies, conduct a 360° scan of the vehicle in just three seconds. This technique covers all angles and analyzes all damages at millimeter scale. The “Station” uses artificial intelligence to detect, measure and locate all of the damages sustained by the vehicle. It then generates a time-stamped, geolocated and secured report. ProovStation customers are subsequently given access to range of SaaS solutions (automatic reconditioning quotes; automatic vehicle pricing for resale; check in/check out, vehicle identification; 2D/3D photo studio; and activity management).

Revenue
$6.6M
Customers
-
Year founded
2018
Funding
-
Team size
60
Growth
-

Inclusion Criteria

- Must provide tools for building, training, and deploying deep learning models - Should include support for various data types, such as text, images, and audio - Must offer capabilities for model evaluation and performance metrics - Should enable integration with big data frameworks and cloud services - Not just focused on traditional machine learning; must specifically address deep learning methods - Must facilitate automation of repetitive tasks within the deep learning workflow - Should be suitable for use by professionals such as data scientists, engineers, and researchers