Easily Build AI models and add AI features
to existing Java applications
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.
Deep Netts platform makes it easy to build ML models
We provide everything you need to build, test and deploy ML models in Java.
By utilizing visual tools and expert wizards to bridge the gap between software and AI development, the platform simplifies the development process, enhances productivity, and improves accuracy and understanding of machine learning (ML) models.
Pure Java software library substantially simplifies integration into existing Java applications and deployment of ML models on Java virtual machines.
Empower and accelerate your AI journey
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.