Advancing research and innovation to build responsible AI that unlocks new frontiers of machine understanding
InfectiScan is a smart medical diagnostic system designed to detect hospital infections and sepsis risk in ICU patients in real time using biosensors, AI algorithms, and IoT connectivity.
Portable Edge-AI Diagnostics and Tele-Health Infrastructure for Tribal Eye Care is a technology-driven healthcare solution designed to detect eye diseases early in remote and tribal regions.
Datalet Healthcare is an AI-powered preventive healthcare platform designed to help individuals maintain a healthy lifestyle through personalized diet recommendations, fitness plans, and continuous health monitoring.
MetaCast is an artificial intelligence–driven drug monitoring and risk prediction system designed to simulate and analyze the interaction of pharmaceutical compounds within the human body. The platform integrates biomedical data sources such as drug–protein interactions, molecular structures, patient health parameters, and pharmacological databases to predict possible adverse drug reactions (ADRs) before they occur. The system is designed to support personalized medicine by considering individual patient characteristics such as age, medical history, genetic predisposition, and existing health conditions.
AI-enabled mental health detection systems are emerging as powerful tools for early identification and monitoring of psychological conditions such as stress, anxiety, depression, and emotional instability. These systems use artificial intelligence techniques including machine learning, deep learning, and natural language processing (NLP) to analyze behavioral patterns, speech characteristics, facial expressions, physiological signals, and digital interaction data.
Datalet Speech and Hearing Research focuses on developing advanced technologies for the detection, diagnosis, and rehabilitation of speech and hearing disorders using artificial intelligence and digital health solutions. The initiative aims to support individuals with hearing impairment, speech difficulties, and auditory processing disorders through intelligent diagnostic tools, wearable devices, and AI-based speech analysis systems.
The journey of Datalet started with a research publication in the Journal of Parallel and Distributed Computing (Elsevier). The study introduced a new approach for managing massive data volumes in cyber-foraging environments using distributed cloudlets.
The paper titled “Datalet: An approach to manage big volume of data in cyber foraged environment” proposed an architecture capable of processing and storing large-scale data across intermittent networks while improving latency, bandwidth efficiency, and computational resource utilization.
This research laid the foundation of the Datalet vision, which has since evolved into innovations in artificial intelligence, healthcare technology, and intelligent distributed systems.
Conversations that bring artificial intelligence closer to people. The Datalet AI Podcast explores how AI is transforming healthcare, scientific research, robotics, and intelligent technologies. Hear from researchers, engineers, and innovators building the future of intelligent systems.
Discussions on how artificial intelligence improves disease detection, medical diagnostics, and personalized treatment systems.
Understanding how AI systems are evolving toward more intelligent and adaptive technologies.
Exploring modern robotics, autonomous systems, and the integration of AI with real-world machines.
October2026 • Conference
February 2026 • Research
January 2026 • Publication