Empowering the
Java Ecosystem for AI
Deep Netts is an AI Development Platform Company that revolutionizes the way organizations leverage machine learning models, while contributing to modern Java’s role in AI.

AI Development Platform for Java
Deep Netts platform accelerates AI adoption by simplifying development, integration and deployment, making 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.
//create an instance of a neural network using builder
FeedForwardNetwork neuralNet = FeedForwardNetwork.builder()
.addInputLayer(numInputs)
.addFullyConnectedLayer(1024, ActivationType.RELU)
.addOutputLayer(numInputs, ActivationType.SIGMOID) .lossFunction(LossType.CROSS_ENTROPY)
.build();
//set training settings
neuralNet.getTrainer().setStopError(0.02f)
.setStopEpochs(300)
.setLearningRate(0.001f);
//run training to build the model
neuralNet.train(dataSet);
Explore Real-World Use Cases
See how companies like yours run AI models with Deep Netts — entirely in Java.
Simplified. Accelerated. Scalable.
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
What Our Customers Are Saying
It is a lightweight Java library, easy to learn, and solves many technical challenges related to ML.