Real-time nutrition AI · in private beta

Decode every meal.

Delemma is an AI agent for nutrition. It turns your food, biometrics and goals into the next decision — automatically. No labels to read. No spreadsheets to keep.

Apply for external trial → How it works

291k

Training images

647

Dish classes

Nutrients tracked

Cuisines covered

Origin

It started with a single number.

Delemma began as one person debugging his own metabolism. The principles that worked turned out to be the principles that work for everyone.

In 2023, mid-thesis, jet-lagged, and chronically underslept, I was diagnosed with a runaway A1C of 14%. The clinic's plan was lifelong insulin.

I went home and started treating my body like a system to debug. Every meal logged. Every biometric tracked. Every recommendation cross-checked against the literature.

Sixteen months later A1C was 5.5% — back inside the normal range. The thing that worked wasn't a diet. It was a feedback loop: data in, decision out, signal back.

"What works for one person who's paying attention works for anyone — if the loop runs fast enough."

Rocky Li · Founder, Delemma

A1C · 16-month trace −8.5

Built for everyone in motion

Three goals. One agent.

Pick the goal that fits today's life. Delemma rewires food, biometrics and recommendations around it — and adapts as the goal changes.

Maintain & optimize

Stable life, modern diet — but tired, foggy, sleeping poorly. Delemma maps 49 nutrients against your real intake and surfaces the silent gaps: vitamin D, magnesium, omega-3, B-complex.

EnergySleepMoodSkin

Cut without breaking

Calorie deficits collapse without protein, magnesium, B-complex. Delemma separates "calorie gap" from "nutrient gap" so you keep your metabolism — not just your scale number.

Protein floorMacro splitsBMR guard

Fast with precision

16:8, 18:6, OMAD — the upside lives in the eating window. Delemma calculates exactly the protein, potassium, magnesium and sodium your window needs, and pre-stages electrolyte protocols.

Window mathElectrolytesInsulin sens.

Flux · the agent layer

An AI agent fed by
your real-time data.

Flux is the conversational core of Delemma. Every reply pulls live signal — biometrics, intake history, energy balance, your goal — and answers in the moment, not in the abstract.

Live biometrics. Heart rate, sleep, blood glucose, SpO₂ — pulled from Apple Health, Apple Watch, CGM.

Today's plate. The full breakdown of what you ate, and the 49-nutrient bank against your goal.

Seven-day trend. The nutrients you keep underconsuming, and the meal patterns that keep producing them.

Energy ledger. BMR + NEAT + activity + thermic effect of food, reconciled against the day's intake.

The Stack

Owned, end to end.

Every layer of the agent is built in-house. The vision model, the nutrient ledger, the live data pipes, the nutrition-specific reasoning — none of them rented.

Vision · self-trained

291k images

647 dish classes · 20 cuisines · self-hosted GPU inference

A vertical food-recognition model trained from scratch — not a wrapper around GPT-4V. Marginal cost per inference rounds to zero, which is what makes a free tier sustainable at scale.

ChineseJapaneseItalianAmerican ThaiKoreanIndianMexican FrenchVietnameseMid-Eastern+9

Ledger

Nutrients tracked · target vs intake

Live signal

Biometric pipeline

Continuous streams from the devices already on your wrist or arm.

Apple Health Apple Watch HealthKit CGM

Domain reasoning · in training

A nutrition-specific model.

General medical models fixate on diagnosis and pharmacology. Nutrition is a different discipline: absorption sites, bioavailability, dose-response, hour-scale metabolic loops, food-supplement-drug interactions. We're training the model that should have existed all along.

Metabolic pathways DRIs / EFSA / WHO Multi-timescale reasoning Interaction graph

Product

In your pocket.

Four screens, one loop. Log a meal, see the gap, get the move, close the gap.

Daily home dashboard — 01 · HOME Daily home Today's calorie balance, meal log and supplement check on a single glance.

02 · STACK Supplement intelligence Your stack, scanned, evaluated against today's gaps and goal — keep, swap or drop.

One-tap food recognition — 03 · CAPTURE One-tap recognition Photograph the plate. Get the full breakdown — calories, macros, micros, GI.

04 · LEDGER 49-nutrient ledger Every nutrient, percent of target, delta to close. Sorted by what matters today.

From the early users

It clicks fast.

A handful of testers running the loop for a few months. Different bodies, different goals, same pattern.

Sarah Mitchell

Distance runner · 34

Daniel Klein

Software engineer · 16:8 IF · 29

Akira Tanaka

Tokyo · cut 12 kg, kept it · 41

Maya Reyes

Fitness instructor · mom of two · 38

Ben Lawson

Biohacker · CGM + Apple Watch · 45

Liu Wei

Beijing · product manager · 33

The name

Why "Delemma"?

Every meal looks like a dilemma. Add the prefix and it stops being one — the way you de-bug code, you de-lemma a decision.

de-

Remove the burden. As in de-bug, de-fog, de-fuse — undo the thing in front of you.

lemma

A useful step. In math, the lemma you prove on the way to the theorem. Each data point is one — read enough, the answer reveals itself.

.ai

Where the agent lives. A homophone for Llama, a nod to the open-model lineage we build on. Intelligence as default, not feature.

Mission

Nutrition is a daily decision. Make it disappear.

Most health apps stop at calorie counting. The rest demand you read the literature. Delemma does the reading, runs the loop, and hands back a single next move — backed by the real numbers from your day.

From dilemma to Delemma.

Apply for external trial →