Not another static calorie counter. Fit-Check reads real, home-cooked meals, adjusts your targets to how your day actually went, and coaches you — every day, automatically.
An adaptive nutrition engine that combines AI meal recognition, activity-aware targets, and daily coaching — with built-in support for households who cook together but train toward different goals.
Try Fit-Check →Thousands of nutrition apps exist, and almost none of them adapt to how your day actually went — or account for the fact that you might be sharing that meal, not eating it alone. The friction isn't motivation — it's tools built for a static, solitary user.
Manual database search, portion guessing, and constant data entry create enough friction that most users stop tracking within weeks.
A desk day and a marathon-training day get the same calorie target. Fixed plans ignore how life actually varies.
Wearables capture steps, heart rate, recovery and sleep. Nutrition apps capture food. The two systems never talk to each other.
Families and couples share meals while needing different nutrition. Existing apps are built for one person, not one table.
Meal recognition and wearable signal feed one continuously adjusting recommendation engine — turning a fixed daily number into a moving target that matches how the day actually went.
Recalculates calories and macros from today's real activity — not yesterday's static plan.
Photo, voice, or barcode input. AI estimates calories, protein, carbs, fats and serving size — tuned for home-cooked, mixed-ingredient meals.
Daily targets shift with activity, recovery, sleep, weight trend and personal goals.
Syncs Apple Health, Fitbit, Garmin and Whoop — one connection per household member.
Plain-language daily guidance, delivered in-app or via WhatsApp — whichever the user prefers.
One shared meal, split automatically into individually personalized portions — for couples, families, teams.
Real screens from the live app — not mockups.
We're not building another calorie database — we're building the layer that connects the ones that already exist, learning continuously from behaviour instead of relying on manual input alone.
Future: enterprise dashboards for nutritionists, personal trainers, gyms and corporate wellness providers.
Fitia, Nutrola and MealThinker already do shared-meal, divergent-goal tracking — that's table stakes now, not a differentiator. Ours is accuracy on real home-cooked meals and a coaching channel people already use.
| Capability | Fit-Check | Fitia | Nutrola | MealThinker |
|---|---|---|---|---|
| Shared meal, split macros | ✓ | ✓ | ✓ | ✓ |
| Home-cooked meal accuracy | Core focus | Generic | Generic | Generic |
| Wearable sync, per person | ✓ | Partial | – | – |
| WhatsApp-native coaching | ✓ | – | – | – |
| Distribution | Nutritionists & gyms | Paid UA | Paid UA | Paid UA |
Benchmarked against Fitia (10M+ users), Nutrola (2M+ users), and MealThinker — the closest household-nutrition competitors, not generic single-user calorie apps.
We reach users through the professionals and communities they already trust — then let partnerships and referrals compound.
The operating system for personalized nutrition — connecting food, activity, recovery and behaviour into one intelligence layer.