About Us
Deep Netts is an AI Development Platform Company that revolutionizes the way organisations leverage machine learning models, while contributing to modern Java’s role in AI.
Deep Netts is a next-generation AI platform built entirely in Java, designed to bring advanced deep learning directly into the JVM — where most enterprise systems already run.
We help organizations train, optimize, and deploy AI models without the complexity of bridging to Python or other ecosystems. With GPU acceleration, Vector API integration, and enterprise-grade observability, Deep Netts delivers the performance, scalability, and control that modern businesses demand.
Our mission is simple:
AI runs where your business runs — in Java.
By combining years of research and engineering expertise, Deep Netts enables companies to unlock the full potential of AI with faster training, lower cloud costs, and improved energy efficiency. From scientific research and manufacturing to retail and finance, enterprises use Deep Netts to power intelligent systems that are efficient, secure, and production-ready.
We are proud to collaborate with leading organizations including the U.S. Department of Energy’s Jefferson Lab, University of Minnesota, and the Java Community Process, helping advance the next era of Java-native AI.
At Deep Netts, we believe that AI should fit the enterprise — not the other way around.
Deep Netts Team
Our Story
The idea for Deep Netts was born in 2022, while working on Neuroph, an education software for neural networks. After achieving strong results on this project with his university team, Deep Netts’ co-founder Zoran Ševarac was inspired to seek a similar solution for the enterprise environment.
Recognizing the challenges enterprises face in integrating AI into their Java systems, Zoran envisioned a platform that facilitates seamless AI integration, transforming high-fixed-cost solutions into scalable operational expenses.
Zoran Ševarac, a Java Champion, esteemed professor at the University of Belgrade, and AI researcher, is a Duke’s Choice Award winner with over 20 years of experience in AI and software development, and co-author and expert group co-lead of the Visual Recognition API (JSR381) standard for machine learning-based image recognition that determines how Java applications talk to AI.
With his passion and deep understanding of neural networks, deep learning, and software engineering, combined with his extensive experience leading teams of experts, Zoran has managed to bridge the gap between AI complexities and the needs of Java developers across various sectors, including business, academia, and government. As presented at Java One 2025 Conference in San Francisco, Deep Netts has brought the breath of fresh air in the Java community empowering modern Java for the AI revolution.
But Deep Netts isn’t just about technology; it’s a purpose-driven company committed to accelerate implementation of AI in the world by empowering major industries and sectors in AI race, while advancing democratization and positive societal impact of AI.
Our Team
Zoran Sevarac PhD
Jelena Sevarac
Nikola Tomasevic
