About Us
Deep Netts is to create a cutting-edge Java-based deep learning platform for enterprises that empowers them to unlock the full potential of their data. All done in Java, by Java developers. We aim to democratize access to this transformative technology and help usher in a new era of intelligent automation and decision-making.
Uniquely positioned to solve AI for Java
We’re uniquely positioned as Java thought leaders to define the future of AI in Java. Our founder is a Java Champion and Machine learning developer, who has so far built Neuroph – an open source Java neural network framework and Development Environment for neural networks. He has also co-led implementation of JSR381 standard that determines how Java applications talk to AI, and how Java developers approach solving ML problems. We’re enabling scaling and adoption of AI in the Java developer community.
Reference implementation of the JSR 381 standard, supported by Java Community Process, as the official Java technology standard for visual recognition in machine learning. JCP members who supported our standard are Oracle, Twitter, IBM, Intel, Alibaba, Goldman Sacks, BNY Mellon, SAP, Fujitsu and others.
