Case Study

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Omega Suite - Reinventing Financial Intelligence for Everyone

Under Development

AI

Fin-Tech

Ed-tech

News

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Industry

FinTech / EdTech

Duration

5W + (Ongoing)

Project Type:

AI-Powered Financial Platform

Status:

Ongoing Enhancements in Progress

Scope:

  • Strategy
  • UI/UX Design
  • Development
  • QA
  • Deployment
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The Challenge

Investors — from beginners to intermediate traders — face the same struggle: too much noise, too little clarity. Financial tools are often overwhelming, non-personalized, and either oversimplified or painfully complex. The client wanted a platform that could turn raw data into actionable insights, educate users based on their goals, and offer real-time market support via AI.

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Discovery & Strategy

Our collaboration began with user interviews and product positioning workshops. We learned that most users switch between multiple apps (e.g., YouTube, TradingView, broker apps) to make a single decision. The opportunity: centralize these workflows — offer trustworthy AI insights, personalized learning, and real-time dashboards under one roof.

    Key Goals:

  • Personalized onboarding for investing goals and comfort level
  • Dynamic AI reporting and summarization of financial markets
  • Free & paid tiers to serve a wide range of user types
  • Integrated Learning Management System (LMS) for education

Design Highlights

We designed the platform with mobile-first thinking, using Design Thinking + Agile sprints. The onboarding experience personalizes the dashboard based on the user's expertise (Beginner → Explorer) and interest (Stocks, Crypto, Mutual Funds). The dashboard then evolves dynamically using AI and GraphQL data.

    Core Design Features:

  • Personalized dashboard with 4 key sections: Home, Omega AI, Learning, Trading
  • Onboarding with interest/goal tagging & weekly AI alert preferences
  • Realtime market view toggling (US, Global, Crypto)
  • Embedded AI assistant available across the platform
  • Learning module UI inspired by Coursera — track modules, video lessons, chapters
  • Dark mode & accessibility adjustments for visually intensive use
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Backend Development Stack & Architecture

This platform required a fast, modular backend that could scale with educational content, user personalization, and a subscription model. The team used Supabase as a BaaS, offering real-time Postgres, auth, and file storage — dramatically reducing backend development time.

The learning section (LMS) was powered by Strapi, allowing course creators to dynamically manage content without dev support. Stripe handled all payment flows — from $5/mo subscriptions to free tier gating — using its secure checkout and invoicing API.

Technologies Used:

  • Supabase (auth, DB, storage)
  • Strapi for CMS-based course management
  • Stripe for payment + membership control

Frontend Development Stack

Built with Next.js for its hybrid rendering support (SSR + SSG), the frontend offers both speed and SEO-friendliness. The UI is built using TailwindCSS, making it modular and scalable. For interactivity, Framer Motion powers smooth animations. Zustand manages app-wide state with lightweight logic.

GraphQL was chosen for flexible, efficient data fetching, allowing the dashboard and AI assistant to only request what’s needed. Financial charts are integrated via TradingView widgets, delivering professional-grade market visualizations.

Technologies Used:

  • Next.js (SSR/SSG), Tailwind CSS
  • Zustand for state management
  • GraphQL for data queries
  • TradingView widgets for charts
  • Framer Motion for animation

Feature Breakdown

Personalized Onboarding

Dynamic form logic, data tagging, stored via Supabase

Home Dashboard

Toggle between Global/US/Crypto; includes watchlist, AI summary, news

Omega AI

Universal chat overlay across platform with financial AI model

Learning System

Course management via Strapi; user progress tracking and completion

Payment Flow

Stripe API – supports trial, recurring, cancellation, and upgrade

Stock Pages

Click into any asset to view in-depth chart, news, and analysis

Settings & Personalization

Control AI tone, learning goals, update watchlist focus

Trading View

Clean, clutter-free data output with filterable market screens

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Testing, QA & Deployment

Testing:

  • Manual QA across all user roles
  • AI testing for prompt consistency
  • Visual regression testing for charts & graphs

Deployment:

  • Vercel (frontend & Next.js SSR)
  • Supabase backend hosting
  • Secure Stripe integration
  • Monitoring & analytics via Vercel + server logs