We replace the three-month snapshot with continuous metabolic intelligence — diabetes and obesity, managed in real time by an endocrinologist and an AI that never looks away.
An HbA1c is a single number for ninety days of life. It masks the 3 a.m. lows, the silent post-meal spikes, the dawn rise — the volatility that actually drives complication. AiHealth was built to see what averages erase: the continuous signal of a body, and what to do about it today, not next quarter.
Each is a full clinical pathway — intake to outcome — instrumented end to end and read by the same intelligence layer.
Continuous Glucose Monitoring, Time-in-Range targets, and AI pattern detection that surfaces the dawn phenomenon, post-prandial spikes and medication lag — toward Type 2 remission.
GLP-1 / GIP therapy — semaglutide, tirzepatide — under specialist supervision: precision titration, muscle-preservation, and a metabolic exit strategy that prevents rebound.
No guesswork, no judgement — a clear read of what's happening in your body, and a plan you can actually follow.
No tests needed beforehand. We listen, examine, and order only what matters — bring any recent reports if you have them.
Steadier energy, fewer spikes and sustainable weight loss — and for many, a real path toward Type 2 remission.
Three clinics across India, in-person or by video, with the AiHealth agent a message away between visits.
Between visits, the AiHealth agent is on your phone. Snap or type what you ate; it reads it against your own glucose and tells you what to do next — and loops in your doctor when it matters.
A photo or a line of text. No calorie counting, no spreadsheets.
The agent uses your own CGM history — not generic tables — to read the meal before the spike happens.
Anything clinical is escalated to your care team. The agent advises; the doctor decides.
Recorded in the live AiHealth app.
A scoring engine, a pattern detector, and a care agent — all running under a doctor who stays in the loop.
Two indices, one engine. MMIQ scores glucose-driven metabolic health for diabetes; BMIQ scores body composition for weight loss. Each folds a full clinical picture into one defensible 0–100 number a clinician can act on, and a patient can understand.
CGM, body composition and wearable data stream into one timeline — 288 glucose readings a day, not one number a quarter.
Pre-analysis detects variability, dawn phenomenon and meal response before a raw record ever reaches the model — signal, not noise.
An AI care agent drafts the plan; Dr. Bhograj approves every clinical decision. Speed of software, judgement of a specialist.
The intelligence isn't tuned on intuition. It's grounded in one of India's largest type-2 diabetes continuous-glucose research programs.
Insights from our continuous-glucose research program. See the science →
Over 250 million Indians live with diabetes or pre-diabetes; more than 100 million with obesity. Most are managed on a number that's already three months out of date. Your body sends signals every minute — AiHealth is built to listen.
— Dr. Abhijit Bhograj, Founder
Every AiHealth patient is seen by a qualified specialist — a team of endocrinologists and physicians across three centres in Karnataka and Andhra Pradesh. The technology supports them; it never replaces them.
Three clinics across India · in-person or video · or message the AiHealth agent.