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2 min read

How Mindex Helped SportsBiz Build an AI-Powered MVP 5× Faster

How Mindex Helped SportsBiz Build an AI-Powered MVP 5× Faster

Mindex helped SportsBiz develop a functional AI-powered MVP 5× faster than a traditional development approach, enabling the team to quickly demonstrate and evaluate its product concept. By combining AI-accelerated software development with experienced engineering, Mindex transformed SportsBiz’s vision for AI-powered marketing asset review into a working application.

Key Results

  • 5× faster software development
  • Functional MVP developed for product demonstrations
  • Faster progression from concept to working application
  • Reduced repetitive development work through AI-assisted engineering
  • Foundation for continued product development

Technology


  • Frontend: React 19 · TypeScript 5.9 · Vite 7 · Tailwind CSS 4 · React Router 7

  • Backend & Data: Python · FastAPI · Databricks

  • AI & Cloud: Anthropic Claude · Claude Opus · AWS Bedrock · AWS S3

  • Infrastructure: Docker · nginx

 

The Opportunity:

SportsBiz wanted to simplify how brands and event organizers review marketing assets against sponsorship and branding requirements.

The team envisioned a platform that could use AI to understand requirements within sponsorship agreements, compare marketing assets against those requirements, and identify potential issues before content was published.

SportsBiz partnered with Mindex to turn this concept into a working MVP that could demonstrate how AI could support the review and approval process.

The application needed to:

Requirements Icon
Extract sponsorship and branding requirements from contracts
Compare Marketing Assets Icon
Compare uploaded marketing assets against those requirements
Identify Compliance Issues Icon
Identify potential compliance issues
Manual Review Icon
Support manual review and approval
Product Demostrations Icon
Provide a working application for product demonstrations

The Solution

Mindex designed and developed an AI-powered web application for SportsBiz using AI-accelerated software development and experienced engineering.

Engineers used Anthropic Claude and Claude Opus through AWS Bedrock to accelerate application development, while applying engineering judgment across the application’s architecture, business logic, testing, and implementation. Claude Opus also powers the AI capabilities within the application, supporting document processing and the extraction of relevant sponsorship and branding requirements.

The application was built using a modern React and Python technology stack, with Databricks and AWS services supporting the solution.

The MVP Included:
•    Brand and property management to organize sponsorship relationships
•    Secure authentication and permissions to manage user access
•    AI-powered contract analysis to extract relevant sponsorship requirements
•    Marketing asset uploads for submitting content for review
•    Automated compliance reviews to identify potential issues
•    Manual approval workflows for human review and decision-making
•    Administrative dashboards for platform management
•    User and permission management for different roles

The Results

By combining AI-accelerated software development with experienced software engineering, Mindex helped SportsBiz deliver a functional MVP 5× faster than a traditional development approach. This enabled the team to move from concept to demonstration quickly while staying on schedule and within budget.

The engagement helped SportsBiz:

Staff Productivity

Deliver a functional MVP within weeks instead of months.

Security Policies Icon-02-01

Validate the product concept faster with a working application

Save Time Icon-20

Meet key product demonstration milestones

Strategy-140

Free engineers to focus on higher-value development by reducing repetitive coding tasks

Looking Ahead

With the MVP in place, SportsBiz has a foundation to refine and expand its platform as it moves toward the next stage of product development.

AI compressed the build timeline. Engineering judgment made the result production-ready.

 

Chat with our Engineering Team

 
 
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