Top 178 Deep Learning Software SaaS Companies in May 2026

Boston, Massachusetts, United States

AI-native Robotics

Schwyz, Switzerland

Jua.ai - Accuracy beyond expectation. Use beyond belief. The world's first end to end deep learning model for weather forecasting, delivered on an intuitive platform for anyone to customise it. Startups, governments and large companies alike can now develop global, high frequency and high accuracy weather models within days. Jua’s mission is focused on achieving artificial general intelligence (AGI) through a deep exploration of physics, the universe, and their interaction with the human civilisation. We are initially building the world's largest AI weather forecasting model so far and - to our knowledge - the first truly end to end one. This will help energy companies deal with weather volatility by way of significantly better and faster prediction as well as much more flexible extrapolation of insights.

Virginia, Virginia, United States

ZASTI is an Artificial Intelligence (AI) technology platform that helps companies and their clients by predicting risks and improving business efficiency. This enables us to deliver tangible cost savings our customers and their clients. The technology platform is built using proprietary Deep Learning algorithms to provide predictive and diagnostic solutions. ZASTI analyses existing data, identifies anomalies and recurring usage patterns, and then delivers highly accurate predictions and diagnoses through specific vertical sector applications. For industrial users, ZASTI can cut down downtime by 50-70%, increase business efficiency by 20-30% or save 30% of OPEX.

Seoul, South Korea

Developer of a medical data analysis platform intended to improve medical disease diagnosis. The company's diagnostics platform utilizes the machine and deep learning algorithms to analyze patient imaging data and gain insights that help doctors diagnose diseases, enabling researchers and physicians to quickly and accurately identify diseases and illnesses.

South San Francisco, California, United States

Noetik is an AI-native biotechnology company that leverages advanced machine learning methods to discover and develop cancer immunotherapies.

Lausanne, Vaud, Switzerland

Developer of an artificial intelligence algorithmic platform designed to facilitate computer assisted engineering and design. The company's cloud-based platform accelerates and automates the engineering process for industrial companies using innovative, deep-learning algorithms, enabling businesses to speed up development cycles, enhance product performance and reduce computational costs.

Memphis, Tennessee, United States

Developer of a Prognostics as a Service (PaaS) platform designed to help trucking fleets to optimize their operations and minimize costs. The company's platform peers through vehicle data and leverages proprietary AI, deep learning and machine learning algorithms to detect servicing needs, predict charging system issue and emission system issues, enabling autonomous vehicle manufacturers and service providers to decrease their downtime, decrease their costs and run more efficiently.

San Jose, California, United States

Nexa AI (nexa.ai) is a Cupertino-based company specializing in on-device AI models and tools. Known for its Octopus-series models, Nexa AI offers powerful yet efficient solutions for edge device deployment, including function-calling, multimodality, and action-planning. With over 40,000 downloads on Huggingface, Nexa AI continues to innovate through its collaborations and drive advancements in on-device AI technology. Nexa AI's mission is to work with the global developer and research community to push the boundaries of on-device AI. The company has created an on-device model hub (nexa.ai) for sharing and collaborating on AI models and an SDK for streamlined AI application development. Nexa also provides enterprise solutions focused on privacy, efficiency, and multimodal AI agents for consumer electronics.

Paris, Ile-de-france, France

Developer of automatic real-time object recognition software intended to empower fashion brands to fuel creativity, produce more sustainably and improve profitability. The company's software uses deep learning to detect objects, shapes, textures and people from within any image or photo posted on social media and in he internet, enabling luxury and fashion providers to identify clothing trends and better serve its customers.

San Mateo, California, United States

Pinpoint Predictive provides P&C insurers the earliest and most accurate loss predictions and risk scores to fast-track profitable growth. Unlike traditional methods, Pinpoint’s platform leverages deep learning, proprietary behavioral economics data, and trillions of individual behavioral predictors to help insurers identify the risk costs associated with customers and prospects.