Question 1

What is Hridae?

Accepted Answer

Hridae is a medical-technology startup, founded in 2026 by a group of IITians, building an ecosystem of intelligent health technology. It spans clinical-grade tools for clinicians and low-cost consumer devices for the home, engineering hardware, software and AI together so the body can be sensed continuously, understood personally, and the right signal surfaced early, radiation-free and built to reach everyone, from hospitals to rural and emergency care.

Question 2

What is Hridae building?

Accepted Answer

Hridae is building a connected ecosystem of intelligent devices and software: a clinical-grade cardiac wearable and other regulated medical tools for clinicians, consumer devices for everyday tracking, health and wellness at home, and Atune, a software intelligence layer that brings Hridae AI to the smartwatches and rings people already own. It is backed by active R&D across medical imaging, signal and image processing, instrumentation, sensor development, machine learning, generative AI and edge AI. The software and app layer is expected to land in 2027, with the devices following by 2028.

Question 3

Who is Hridae for?

Accepted Answer

Both clinicians and everyday people. Hridae builds clinical-grade, regulated tools for doctors and care teams, and low-cost consumer devices for the home, for general health monitoring, personal and performance tracking, and wellness. Because the devices are designed to be portable, affordable and radiation-free, they are meant to work as well in a rural clinic or an emergency as they do in a hospital or a living room.

Question 4

Does Hridae act on its own, or does a doctor stay in the loop?

Accepted Answer

Hridae senses continuously, processes privately on the device, learns your personal baseline, and surfaces the right alert early. The system informs; a person acts. Insights and alerts are designed to reach you and your clinician, so care decisions always stay with a human.

Question 5

Is my health data private?

Accepted Answer

Yes. Hridae is built privacy-first: interpretation runs on-device with edge AI, so your data is processed locally and stays yours. Your profile is a baseline built from you, not shared as a population average.

Question 6

When will Hridae be available?

Accepted Answer

Hridae is in active research and development. The software and app layer is expected in 2027, with the devices following by 2028. The best way to stay informed and get early access is to join the waitlist for the founding cohort.

Question 7

Who is behind Hridae?

Accepted Answer

Hridae was founded in 2026 by Parikshith Chavakula (Co-Founder and CEO, leading hardware, design, sensing, manufacturing and business) and Soinik Ghosh (Co-Founder and CTO, a biologist and neuroscientist turned engineer and AI researcher, leading software, AI and system design), with Abhra Bhattacharyya as a strategic and engineering advisor. The team is mentored by Prof. Suman Chakraborty (Director, IIT Kharagpur), Prof. Sanjay Kr. Rai (Head, Biomedical Engineering, IIT BHU) and leading clinicians, with clinical partners including IMS BHU, the Cardiological Society of India, AIIMS New Delhi, CDRI, AIIMS Kalyani and CMC Vellore.

Question 8

Where is Hridae based, and how can I reach the team?

Accepted Answer

Hridae Medical Technologies Pvt Ltd is based in Hyderabad, Telangana, India, and is supported by IIT BHU, IIT Kharagpur and IIT Madras, with a pre-seed investment from the IIT BHU Foundation. You can reach the team at hridaemedtech@gmail.com or +91 9182673244.

The science under the system.

Selected peer-reviewed work.

GenEEG: Improving epileptic EEG detection through latent diffusion

Pulsatile flow dynamics in an artery with multiple pathologies: a fluid-structure interaction study

Development of a haptic exo-suit with tactile feedback in hand rehabilitation

Real-time brain signal monitoring for BCI applications

Turning a knob: deep learning-based prediction of torque and arm angles using force myography

Design and Development of Flexible Tactile Sensor Based Force Myography Device

Decoding neural dynamics of motor imagery and execution

Follow the authors.