As of September 2026, Latka tracks 10 deep learning software companies with $100M+ in annual revenue. They have combined revenues of $1.5B and employ 7K people. They have raised $3.7B and serve 556K 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.
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.
Sorting: Highest -> Lowest
Showing 10 of 10 companies ranked by annual revenue.
Munich, Germany
Agile Robots is a world-class provider of next-generation automation solutions based in Munich, focused on developing intelligent robotic systems by combining artificial intelligence and robotics.
London, Greater London, United Kingdom
Wayve is pioneering Embodied AI technology for autonomous vehicles, developing AI that empowers vehicles to perceive, predict, and navigate dynamic environments.
Beijing, China
Megvii is a Chinese technology company that designs image recognition and deep-learning software. It is widely known for its Face++ system and provides AI and IoT solutions.
Irvine, California, United States
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate safely in industrial environments. They specialize in artificial intelligence solutions for autonomous robots across various sectors.
Haymarket, New South Wales, Australia
Harrison.ai is a global healthcare technology company on a mission to urgently scale healthcare capacity through AI-powered medical imaging diagnostic support. The company is clinician-led and leverages deep learning to improve healthcare outcomes.
Zurich, Switzerland
Developer of computer vision applications designed to reinvent how enterprises and consumers interact with everyday objects and augmented reality. The company's enterprise technology platform for mobile computer vision, barcode scanning and augmented reality, combines deep learning and machine learning with more traditional computer vision heuristics, and extends the Internet of Things to everyday objects, enabling enterprises to identify, track and superimpose relevant digital information on these objects without requiring them to have a computer chip embedded or be connected online.
San Francisco, California, United States
Provider of an AI-based speech-to-text search platform created to understand human speech. The company's end-to-end deep learning speech recognition system searches for keywords in transcripts by both sound and text within audio and video files, used for transcribing calls, meetings and voicemails for searchable notes, providing businesses with a fast, high accuracy speech-to-text on an easy-to-use API at affordable prices.
London, England, United Kingdom
Synthesia.io is an innovative technology company specializing in artificial intelligence and deep learning solutions for video synthesis and content creation.
San Francisco, United States
Nanonets leverages advanced OCR and Deep Learning technology to efficiently extract relevant information from unstructured text and documents. It enables the digitization of documents, extraction of specific data fields, and facilitates integration with everyday applications through APIs, all within a simple and intuitive interface. This technology significantly streamlines manual processes by automating tasks such as invoice, receipt, and document reviews. It notably reduces processing time by up to 90% and can save up to 50% on costs.
Latka tracks 10 deep learning software companies with $100M+ in annual revenue. Together they generate $1.5B in annual revenue and employ 7K people.
Agile Robots is the largest, with $230M in annual revenue, founded in 2018.
The average deep learning software company in this list makes $151.9M a year, across 10 companies with reported revenue. They serve 556K customers combined.
Ranked by annual revenue, the leaders are Agile Robots, Wayve, MEGVII, DeepL and FieldAI.
The 10 deep learning software companies with $100M+ in annual revenue tracked here have raised $3.7B in disclosed funding between them.
- 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
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