Organizing Ingredient Data for a Nutrition & FoodTech Platform

A growing nutrition and foodtech company developing personalized meal planning and wellness products needed to organize a large dataset of food ingredients. Their goal was to enhance the nutritional intelligence behind their app by structuring ingredient-level data for easier search, filtering, and dietary mapping.

They partnered with Femote to support their backend data development through a mix of ingredient research, data extraction, categorization, and structured entry.

The client needed support in:

1. Researching and extracting key ingredient data from diverse online and proprietary sources.
2. Standardizing and categorizing ingredients by type, use case (e.g., sweetener, protein), and dietary classification (e.g., vegan, gluten-free).
3. Cleaning and entering structured data into their internal nutrition database to support app development and product logic.

• Ingredient Research & Extraction
  We manually extracted nutritional profiles, ingredient names, common aliases, and use cases from approved sources.
• Custom Categorization
  With the help of custom taxonomy provided by the client, we collaborated and worked closesly with the client to classify ingredients based on dietary rules, functional category, and allergen presence.
  
• Structured Data Entry
  Populated a clean, standardized format with all required fields, including ingredient name, type, tags, and source URL, ensuring consistency for integration into their system.
• Ongoing Collaboration
  Maintained weekly check-ins to resolve edge cases and adjust classification rules as the product evolved.

• Over 20,000 food product researched, categorized, and entered
• Created 18 custom dietary and functional categories for client’s platform
• 99.1% data accuracy rate based on internal QA audits
• Faster feature rollout: Ingredient logic successfully integrated into app’s recommendation engine ahead of launch

From foodtech to healthtech, structured data is critical to building smarter, more personalized digital products.At Femote, we help companies turn raw information into usable, clean datasets, ready for systems, apps, or AI.