An EpicureAI Labs product DPIIT Recognised · Sept 2025

A clinical program company
for Indian families, in the kitchen.

Six conditions. One household. Internationally-validated protocols (DiRECT, DASH, ZOE METHOD), delivered through a household-scale agentic system — at one-fifth the price of premium competitors.

Anchored to DiRECT · DASH · ZOE METHOD · ICMR-NIN
Conversation UZ Brussels · Health-on-Stage 2026
01 · The Problem

Indian medicine diagnoses the conditions.
The dinner table is the unsupported gap.

By the time an Indian adult is diagnosed with Type 2 diabetes, hypertension, or PCOS, the dietary pattern that caused it has been the family's eating pattern for years. The diet chart goes home with the patient. The cook keeps cooking the same one pot for everyone. The diet chart fails.

Pre-diabetes & T2D 237M

101M with diabetes plus 136M pre-diabetic. Onset age dropped 55 → 42 in two decades.

Hypertension 315M

Indian sodium intake 2–3× WHO recommendation. Treated as pharma problem, not diet problem.

Adult Obesity 254M

Generalised obesity by Asian Indian thresholds. 351M with abdominal obesity.

PCOS ~22M

8–22% of reproductive-age Indian women. South Asian phenotype is more insulin-resistant.

Paediatric Iron Deficiency 49%

Indian children under 5 are anaemic. Long-term cognitive and growth consequences.

Pre-conception 27.5M

Couples actively trying to conceive. No commercial nutrition execution layer exists.

02 · The Thesis

Doctor-led entry.
AVOLA-led execution.

In Indian households, food is cooked once for everyone. The patient rarely cooks. Diet protocols only get followed when the meal already being cooked is also clinically appropriate. AVOLA plans the household meal — one cooking event, not two.

Every AVOLA program begins with a documented clinical encounter. The patient brings their doctor's report, prescription, or diagnosis. AVOLA loads the appropriate evidence-anchored protocol into the family graph and translates it into daily household execution.

The doctor remains the medical decision-maker. AVOLA is the household execution layer. The same operating model applies for all six conditions.

Why family-graph delivery

One subscription covers up to six members across multiple conditions. As each person's clinical needs evolve, they stay inside the same graph. The cook plans one menu — clinically appropriate for everyone in the household, not a separate diet for the patient.

03 · What is AVOLA

Six clinical programs.
One family graph. Six AI agents.

AVOLA is the daily layer that turns the doctor's advice into what's actually on the dinner table — for every member of your family, simultaneously, every week.

ProgramDurationAnchored toBenchmark outcome
Pre-diabetes & Type 2 Diabetes24 weeksDiRECT · IDPP-146% remission at 12 months (DiRECT)
Hypertension12 weeksDASH-Sodium · ESC/ESH 2018−8.9 / −4.5 mmHg through diet alone
PCOS16 weeksDASH-PCOS · WijeyaratneSUCRA 92% — network meta-analysis 2024
Adult Metabolic Weight16 weeksZOE METHOD principles · MediterraneanCardiometabolic improvement vs standard advice
Pre-conception & Fertility Nutrition12–16 weeksACOG · FIGO · ICMR · Cochrane folatePericonceptional adequacy 90%+
Paediatric Iron Deficiency16 weeksWHO/ESPGHAN · ICMR-NINHb response at 8–12 weeks (WHO)
04 · Why this works

Three structural differences
no Indian competitor occupies.

Difference 01

Family graph,
not individual

Twin Health treats the diagnosed individual. HealthifyMe targets the wellness consumer. None treat the household as the unit of clinical care. AVOLA's family graph holds up to six members, each with their own conditions, in one subscription.

Difference 02

Software-only,
by clinical design

Twin Health ships CGMs, smart scales, fitness trackers. AVOLA ships nothing. The international protocols we replicate — DiRECT, DASH — were designed for delivery without per-patient hardware. DiRECT achieves 46% diabetes remission in the UK without a single CGM.

Difference 03

Protocol-led,
not data-led

Most competitors generate recommendations reactively from CGM and food log data. AVOLA's protocols come first — built from peer-reviewed evidence. A new patient starts on a clinically-defensible protocol from Day 1, not after a 14–21 day data-collection phase.

“India gets sick at 6. Healthcare arrives at 40. The dinner table is the missing layer.”
“We get better as a family, not just individually.”
Get started

An early bet on an important problem.

AVOLA is in pre-launch. The waitlist is open for families who want clinical execution, not another tracking app. Partners building related infrastructure — clinics, hospitals, employers — can request a pilot conversation.