Pune Entrepreneur Launches AI Health Platform That Predicts Illness Before It Strikes, Mobile App Now Live
Pune Entrepreneur Launches AI Health Platform That Predicts Illness Before It Strikes, Mobile App Now Live
I-Predict’s mobile app brings continuous health monitoring to individuals, insurers, and, for the first time, corporate employers seeking to tackle the rising cost of workplace mental health. When Uday Bhaskar was COO of a large healthcare services firm in Mumbai, he noticed a pattern that wouldn’t leave him. Patients would arrive with advanced diabetes, cardiac disease, or metabolic syndrome, and the clinical team would do everything right. Excellent treatment. But the warning signals had been visible in the data for months, sometimes years, before the crisis. Nobody was watching. That observation became the founding conviction behind I-Predict, his Pune-connected health technology company.
The platform, now with its mobile app live, uses agentic AI and wearable devices to continuously monitor an individual’s health, predict risk trajectories before symptoms appear, and autonomously trigger personalised interventions. Monitor. Predict. Intervene. That is the closed loop I-Predict is building for India, Malaysia, and the Middle East.
“Healthcare should not begin when symptoms appear,” says Bhaskar, who holds a degree from the College of Engineering, Pune. “It should begin the moment your body starts showing the early signals, and our AI now catches those signals 24 hours a day.” “Most health AI is a smoke detector. It tells you there’s a problem. I-Predict is the sprinkler system. It acts on it.” Uday Bhaskar, Co-Founder & CEO, I-Predict A New Front: Workplace Mental Health One of the platform’s sharpest new applications is in corporate wellness, specifically the growing crisis of workplace mental health. Mental health is now the fastest-growing driver of employee absenteeism across India and the Gulf, yet most companies have no way to detect deterioration until a sick day is already taken. I-Predict’s wearable devices track heart rate variability, sleep quality, and stress biomarkers continuously.
The platform’s AI can identify declining patterns four to eight weeks before they translate into absenteeism, giving employers the window to intervene with personalised wellness support before a crisis occurs.
“A corporate with 5,000 employees reducing absenteeism by even 10 per cent generates a measurable, boardroom-level saving in a single quarter,” says Bhaskar. “This is not a wellness perk. This is spreadsheet arithmetic, and it’s one of the fastest ROI stories in enterprise health right now.” The employer proposition complements I-Predict’s existing focus on insurers, who use the platform to identify high-risk members before claims occur, and hospital systems, which use it to build continuous care relationships between clinical visits.
The App Is Live The I-Predict mobile app, now available, connects directly to I-Predict-branded smart rings and health bands to deliver real-time health insights, personalised risk alerts, and guided wellness interventions. The app establishes each user’s personal health baseline within the first few days, then continuously tracks deviations that may signal emerging risk. The platform is currently being rolled out across India, with operations in Malaysia and the Middle East in active development. “The enabling conditions have finally caught up with the conviction,” he says.
“Agentic AI is mature enough. Wearables are affordable enough. And India’s digital health infrastructure is ready. The moment to build this was now.” About I-Predict I-Predict is an agentic AI health platform that monitors, predicts, and intervenes in personal health outcomes before clinical events occur. The platform combines proprietary wearable devices, AI-driven risk modelling, and a multi-stakeholder care network spanning consumers, insurers, hospitals, and corporate employers. Operating across India, Malaysia, and the Middle East.
Mobile app now live. www.i-predict.net www.instapredict.ai
LinkedIn: Uday Bhaskar
