AI Development Platform in Java
Deep Netts platform accelerates AI adoption by simplifying development, integration and deployment,
making predictive AI more accessible and efficient for Java-based enterprises.
Visual AI Builder
Visual tools simplify AI model development with a drag-and-drop interface for data preprocessing, model training, testing, and debugging. They enable rapid iteration, experiment tracking, and efficient model refinement and optimization.
Deep Learning Java Library
A high-performance, pure Java implementation of deep learning algorithms featuring an intuitive API, for easy integration and deployment of AI models in production environments.
Simplified. Accelerated. Scalable.
Rapid deployment
Seamless integration of ML models into your Java native applications and deployment to production.
Highly scalable
Deep Netts enables easy deployment to a large number of devices in heterogeneous environments.
Accelerated development
With Deep Netts developer friendly, pure Java deep learning library and tools for building and testing machine learning models.
Easy to use
Machine learning development tool with step by step visual expert guide in integrated environment for end to end ML development process.
Cost effectiveness
Deep Netts enables utilization of existing developer resources instead of hiring additional experts, decreasing employee costs.
Privacy & Security
With Deep Netts you own and control data, you own models. The solution enables secure Java integration.
Robust AI platform for Java applications
Why choose Deep Netts?
Empowering developers and businesses towards AI/ML by enabling faster learning and easier deployment with two key
features Java-Native Deep Learning Library and ML Ops Tool with explainable AI
Testimonials
It is a lightweight Java library, easy to learn, and solves many technical challenges related to ML.
