Top 178 Deep Learning Software SaaS Companies in May 2026

Mountain View, California, United States

An AI physics simulator for AI chip design

, United States

The GPU Cloud Marketplace

London, London, United Kingdom

Enterprises worldwide spend over $40Bn annually on manually extracting data from documents. This extraordinary sum represents hundreds of millions of human hours spent on tedious, grinding, soul-crushing work which is also slow and prone to errors. The incumbent technology, OCR (optical character recognition) has been around for decades. It’s simplistic, rule-based and performs poorly on many real-life documents. We founded Evolution AI in 2015 to solve that problem. Evolution AI revolutionised data extraction by building a deep-learning machine that closely mimics how humans read documents. Humans not only read characters off the page, we heavily rely on visual cues from graphic design (tables, font types and sizes, colours, bold/italic etc) and of course - on meaning and context. In AI terms, these translate to Visual Reasoning - a branch of computer vision that focuses on how objects visually relate to each other - and NLP (Natural Language Processing), dealing with meaning and semantics. In short, our AI weaves together text, vision and semantics to extract data from documents - just like humans do. Today we process over 1.5M pages per day for our clients. Our unique scientific approach enables us to automatically extract data from any type of document including the most complicated such as quarterly reports, balance sheets, P&L statements, account statements, invoices etc.

Houston, Texas, United States

Deep Learning Optimization for Process & Responsible Operations oPRO.ai provides artificial intelligence (AI) powered deep learning optimization for intelligent process automation to improve the way people design, build, automate, manufacture, and improve our environment in ways that shape the world for a brighter and cleaner future. Our world class machine learning scientists, software engineers, and deep subject matter experts work in unison to ensure customer success by leveraging our revolutionary deep learning optimization AI software with our battle tested approach.

London, England, United Kingdom

We are a deep-tech startup building Active Inference-based AI solutions

San Francisco, California, United States

Foundation models to automate x-ray analysis for radiologists

Palo Alto, California, United States

We're building a deep-learning based computer vision platform to solve real problems directly on compute-constrained embedded devices. We're working with some of the largest consumer electronics and chip companies. We're profitable, are backed by top VCs, and are HIRING! If you're interested in helping us ship great products with our customers that are used every day by millions of people around the world, drop us a line at [email protected]

Salt Lake City, Utah, United States

Big data, deep learning, and machine learning scare and intimidate people particularly business leaders who don't have a background in those fields. We want to change this. We believe these technologies can provide organizations with a powerful, competitive edge. At Wrench.AI, we build Big Data-based software and tools that allow leaders to make better decisions and automate initiatives and campaigns to maximize resources for the best possible return. A technological background isn't necessary to use our software we shoulder the challenge of data engineering and development so you don't have to. Our solutions allow you to be the hero.

Raanana, Israel

DeePathology.ai brings state of the art AI and Deep Learning to Digital Pathology to empower pathologists.

United States

MoonVision is headquartered in Vienna and was founded in 2017 by Florian Bauer and Alexander Hirner to empower people with real-time object tracking solutions. We named our first artificial intelligence based tracking technology - DishTracker to recognise and classify various dishes during the 16-day Oktoberfest 2017 in Munich. The DishTracker integration helped overcome challenges associated with food service processes - reducing waiting times, streamlining employee workflow and mirroring the cash register system with transactions. Since then we have collaborated with businesses in logistics, manufacturing, food and beverages to optimise speed, increase productivity and control cash flows with the use of MoonVision's object tracking technology. As we continue offering practical solutions to our clients, MoonVision's platform has been enhanced to a user-friendly and self-serving deep-learning system for IT and control personnel seeking to gain autonomy with the application of AI solutions. At MoonVision, we understand the challenges caused by rigid business processes in quality control, production planning, supply chain and logistics. For this reason, we designed MoonVision to augment human cognitive abilities with deep- and machine learning algorithms. Test our demo: moonvision.io Careers: moonvision.io/careers