1
GeologicAI
Calgary, Alberta, Canada
GeologicAI redefines geological and mining decision-making with advanced core scanning technology and AI-powered analytical and modeling solutions.
- Revenue
- $73.6M
- Year founded
- 2013
- Team size
- 186
Top 32 Deep Learning Software Companies With $10M–$100M Revenue (September 2026)
As of September 2026, Latka tracks 32 deep learning software companies with $10M–$100M in annual revenue. They have combined revenues of $1.1B and employ 5.8K people. They have raised $1.7B and serve 116 customers combined.
Every company below sells deep learning 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 Deep Learning Software Companies do
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
- 32
- Revenue
- $1.1B
- Funding
- $1.7B
- Employees
- 5.8K
Filters
Sorting: Highest -> Lowest
Top Deep Learning Software Companies With $10M–$100M Revenue
Showing 10 of 32 companies ranked by annual revenue.
2
Zenseact
Göteborg, Sweden
Zenseact’s purpose is to make safe and intelligent mobility real for everyone, everywhere. We live in an ever-changing environment at the center of which autonomous artificial intelligence is about to become reality. Sweden and China based Zenseact is a technology company that is committed to preserving all life on the road through its scalable ADAS/AD software platform.
- Revenue
- $68.7M
- Year founded
- 2020
- Team size
- 606
3
Minieye
Shenzhen, China
Developer of a driver assistance system designed to make driving safer. The company's system uses vision algorithm with deep learning technology and performs robustly under complicated conditions of weather, light and traffic, enabling drivers in China to use autonomous driving in bad weather to save from accidents.
- Revenue
- $67M
- Year founded
- 2013
- Funding
- $223.4M
- Team size
- 47
4
퓨리오사에이아이
Tel Aviv, Tel Aviv, Israel
FuriosaAI designs and develops AI accelerators (NPUs) optimized for data center operations, focusing on high-performance and power-efficient solutions for computer vision, generative AI, and various demanding workloads.
- Revenue
- $65.6M
- Year founded
- 2019
- Team size
- 20
5
Qure AI
New York, New York, United States
Owner and operator of a healthcare technology company intended to make healthcare more affordable and accessible through the power of deep learning. The company's software uses deep learning and deep learning algorithms which is compatible with any X-ray, CT scan or MRI machine, which help in classifying radiology images as normal or abnormal, diagnose disease and highlight abnormalities that may otherwise be overlooked, enabling doctors to diagnose diseases and highlight abnormalities more accurately.
- Revenue
- $65.2M
- Year founded
- 2016
- Funding
- $16M
- Team size
- 303
6
Syntiant Corp
Irvine, California, United States
Syntiant is a leader in edge-AI deployments, bringing deep-learning to any device with industry-leading Neural Decision Processors and hardware-agnostic machine learning models.
- Revenue
- $62.7M
- Year founded
- 2017
- Team size
- 251
7
InApp
Palo Alto, California, United States
Since 2000, InApp has been delivering full-cycle software development services to customers worldwide. Founded by a group of IT experts with several years of Big 5 consulting experience, InApp presently has offices in the USA, India, and Japan; a 400+ strong team of software engineers, and a solid client base ranging from Fortune 500 companies to SMBs. InApp offers an integrated portfolio of software services/technologies such as core technologies, cloud computing, analytics, blockchain solutions, AR & VR Solutions, AI & Deep Learning, and IoT. We deliver our high-performing products to the manufacturing and construction industries and ISVs.
- Revenue
- $51.7M
- Year founded
- 2000
- Team size
- 470
8
WORLD LABS TECHNOLOGIES
Barcelona, Catalonia, Spain
Develops AI models with spatial intelligence for 3D world perception and interaction
- Revenue
- $50M
- Year founded
- 2023
- Funding
- $230M
- Team size
- 43
9
Plus
Santa Clara, California, United States
Plus is an AI company whose mission is to build driving intelligence to power a safer and greener world. Plus’s autonomous driving solutions span from driver-out SuperDrive™, to highly automated PlusDrive®, next-gen safety technology PlusProtect™, and model-based perception software PlusVision™. Headquartered in Silicon Valley with operations in the U.S., Europe, and Australia, Plus is named by Fast Company as one of the World’s Most Innovative Companies. Plus’s large AI models are already powering vehicles in commercial use today. Partners including Bosch, dm-drogerie markt, DSV, Hyundai Motor Company, IVECO, Luminar, Nikola, Scania/MAN/Navistar of the TRATON GROUP, and Transurban are working with Plus to accelerate next-generation transportation solutions.
- Revenue
- $47.5M
- Year founded
- 2016
- Team size
- 432
10
AIgnostics
Berlin, Berlin, Germany
Aignostics is an AI-powered precision diagnostics company that focuses on pathology to assist with drug development and clinical research. It specializes in transforming drug development and improving patient outcomes with AI that delivers novel insights for precision medicine.
- Revenue
- $45M
- Year founded
- 2018
Frequently asked questions about Deep Learning Software Companies With $10M–$100M Revenue
How many deep learning software companies with $10M–$100M in annual revenue are there?
Latka tracks 32 deep learning software companies with $10M–$100M in annual revenue. Together they generate $1.1B in annual revenue and employ 5.8K people.
Which deep learning software company with $10M–$100M in annual revenue is the largest?
GeologicAI is the largest, with $73.6M in annual revenue, founded in 2013.
How much revenue does a typical deep learning software company with $10M–$100M in annual revenue make?
The average deep learning software company in this list makes $34.2M a year, across 32 companies with reported revenue. They serve 116 customers combined.
Who are the leading Deep Learning software vendors with $10M–$100M in annual revenue?
Ranked by annual revenue, the leaders are GeologicAI, Zenseact, Minieye, 퓨리오사에이아이 and Qure AI.
How much funding have deep learning software companies with $10M–$100M in annual revenue raised?
The 32 deep learning software companies with $10M–$100M in annual revenue tracked here have raised $1.7B in disclosed funding between them.
Related Artificial Intelligence Software categories
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