Nutrition apps people use past the first week.

Macro tracking, barcode scanning, AI-generated meal plans, and goal-based personalization — we build nutrition features that integrate cleanly with workouts and subscriptions, proven in production wellness platforms.

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What we build

Nutrition, from log to plan.

Food logging & barcode

Fast, accurate food logging with barcode scanning and a large food database.

AI meal plans

Personalized plans that adapt to goals, preferences, restrictions, and progress.

Macro & goal tracking

Calories, macros, water, and goal streaks — visualized to keep users on track.

Fitness integration

Nutrition and workout data in one view — the complete wellness picture.

Proof

Nutrition features in production.

AI plansPulseFitAI-generated fitness and meal plans personalized per user.View case study →4.5★AthliNutrition and workout plans inside a celebrity-trainer platform.View case study →4.9★TH7 BodyLabsWellness and member nutrition features inside the top-rated app.View case study →

How we build it

AI-native delivery, governed by architects.

01DiscoveryAI-augmented scoping with senior architects

02ArchitectureSystem design + security, governed

03BuildAI pair-programming, every commit reviewed

04QA gateAutomated testing + expert review

05OperateMonitoring, iteration, continuous delivery

The same five-step delivery model behind every Wegile build. Not an AI wrapper — a production AI team.

Under the hood

Built for precision and habit.

AI meal plansBarcode / food DBMacro trackingSwiftKotlinReact NativePythonNode.js · NestJSPostgreSQL · AWS

Nutrition engineering built for the long haul — accurate data, compelling UX, AI personalization.

Questions nutrition app buyers ask us

Before you start. Straight answers.

How do you source and maintain the food database?

We integrate third-party food databases — USDA, Nutritionix, Open Food Facts — for broad coverage, and support barcode scanning to pull nutritional data from packaged products. For products needing a custom or proprietary database, we design and build it.

Can nutrition tracking integrate with workout features in the same app?

Yes — this is a standard pattern for us. Nutrition and fitness data unified in one product, with shared user context, cross-linked goals, and a combined dashboard. We've shipped this in production.

Can you add AI-generated meal planning?

Yes. Per-user AI meal plans that adapt to goals, dietary restrictions, and preferences — we've shipped this in production in PulseFit. The six-gate governance pipeline applies.

What happens after launch?

Ongoing updates, food database maintenance, OS compatibility, and new feature development — the same pod keeps shipping.

Building a nutrition app? Let's make it one users keep.

Response within 24 hours. After the architecture call, a named pod and day-one plan arrive within 4 business hours.

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