Datalift - Fitness Insights

Fitness & Health
Timeline
9 months
Team Size
5 engineers

Create a unified platform turning fragmented health and fitness data into actionable insights.

Datalift - Fitness Insights

Key Results Achieved

95%
User Satisfaction
10+
Beta Users
50%
Workout Adherence

The Challenge

Create a unified platform turning fragmented health and fitness data into actionable insights.

Business Challenges

  • Increase workout adherence and engagement
  • Differentiate in a crowded fitness app market
  • Turn fragmented fitness data into actionable insights

Technical Challenges

  • Aggregate wearable and nutrition data into a unified model
  • Build scalable pipelines for real-time insights
  • Maintain data privacy and reliability across devices

Timeline

9-month program broken into multi-month workstreams

Our Solution

Proglia delivered a robust MVP with wearable integrations, AI-powered workout and nutrition recommendations, and visual dashboards, all accessible via a Flutter mobile app and a polished Next.js site.

Core Features

  • Unified data aggregation from wearables and nutrition sources
  • AI-driven personalized workout recommendations
  • Real-time progress tracking and analytics
  • Goal setting, adherence tracking, and social motivation

Technologies & Implementation

Technologies & Platforms

FlutterNext.jsNode.jsAWS LambdaAPI Gateway

Knowledge Stack

PostgreSQLAWS S3GitHub ActionsDockerOpenAI

Technical Architecture

  • Node.js backend with AWS Lambda & API Gateway
  • PostgreSQL for structured data and AWS S3 for media
  • GitHub Actions and Docker for CI/CD

AI Components

  • Agentic AI for workout suggestions
  • OpenAI-based NLP insights
  • Custom vector databases for personal data modeling
  • Deepseek AI models for recovery and performance optimization

Implementation Timeline

1

Months 1-2

Kickoff, UX/UI design, and Next.js landing page development

2

Months 3-4

Flutter app scaffolding, backend setup, CI/CD integration

3

Months 5-6

Wearable API integrations, nutrition database, early user testing

4

Months 7-8

AI model integration, data pipelines, and dashboard features

5

Month 9

QA testing, optimization, launch marketing, official release

Results & Impact

Immediate Results

  • 95% user satisfaction rating from beta users
  • Onboarded 10+ engaged beta users
  • 50% increase in workout adherence rates

Long-term Impact

  • 40% increase in daily active user engagement
  • Platform foundation for scaling to thousands of users
  • Validated product-market fit for fitness insights

Proglia's team built exactly what we envisioned. The AI insights are helping our users achieve their fitness goals, and the app experience is smooth and intuitive.

Mark Stevens
CEO, Datalift

Key Lessons Learned

Unified data aggregation creates significant value for users

AI-powered insights drive engagement and adherence

Cross-platform development enables broader market reach

User feedback during beta is essential for product-market fit

Ready to Create Similar Results?

Let's discuss how we can help transform your business with AI and automation.

Datalift - Fitness Insights | Proglia Case Studies