Our Vision
Gennet.AI is a Generative Artificial Intelligence product company of Unique Computing, LLC that strives to improve patient outcomes and streamline healthcare processes (handwritten and typed Text, Images, Video, Audio, and Signal Data) through innovative AI solutions.
Unprecedented Velocity
Impeccable Reliability
Gennet.AI at the Helm of Medical AI Evolution through Generative AI
Our Story
Gennet.AI, a pioneering product in medical generative artificial intelligence, excels in the development and training of AI-driven solutions. Our product specializes in extracting insights and deriving knowledge from diverse unstructured data sources, including text, images, videos, audio, and signal data. With extensive expertise in Artificial Intelligence, Deep Learning, and Machine Learning, our focus encompasses Natural Language Processing, Image Processing, Computer Vision, Signal Processing, Predictive Modeling, and Optimization. Our operations involve developing, deploying, and training AI models on cloud platforms, seamlessly integrating into existing architectures, applications, and platforms through the use of Big Data Architectures and distributed computing environments.
Nisar Hundewale, PhD
Founder, CEO
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Dr. Nisar Hundewale received his Ph.D. in Computer Science specializing in Artificial Intelligence, from Georgia State University, USA, in the year 2007. As a post-doctoral fellow, he has worked at the National Institutes of Health (NIH), USA. He held a professor and Associate Dean position at a renowned research university. Since 2012, Dr. Hundewale continued his career in the AI/Data Science industry in technical leadership, architecture, and product development for Walmart, Johnson & Johnson, Neilson, SAP, USPTO, SSA, etc. He has been very hands-on while heading several million-dollar turn-key projects. His expertise is in AI, Deep Learning, Machine Learning, Blockchain, Algorithms, Natural Language Processing, Big Data Architecture, Graph Analytics, and Information Extraction (especially from Text, Image, Video, and Audio data). He has published over 60 technical articles; he serves as editor and has a US Patent granted.