Digital Asset Intelligence Platform

Client: 

A pioneer in digital asset intelligence, delivering three core service lines:

  1. Institutional Services: Provides comprehensive market insights and advanced API solutions to over 150 leading institutions, enabling sophisticated quantitative trading strategies.
  2. Data Redistribution: Delivers institutional-grade datasets to major trading venues and retail platforms, ensuring reliable market intelligence across the trading ecosystem.
  3. Token Services: Offers comprehensive token issuer support through investor relations dashboards, quarterly reporting, and data-driven business intelligence solutions.

Challenge: 

The client needed to build a platform that would 

  • Consolidate multiple data sources into one platform 
  • Replace 30+ separate tabs with a single comprehensive resource 
  • Handle continuous high-frequency data updates 
  • Process diverse data types 
  • Maintain consistent user experience 
  • Integrate distributed applications 
  • Optimize performance at scale 

Solution Overview:

Core Components:

  1. High-Frequency Data Management: Implemented a robust data processing infrastructure combining Rails, PostgreSQL, Redis, and Elasticsearch to handle real-time market data streams with minimal latency.
  2. Data Type Processing: Developed a flexible data modeling system using PostgreSQL to accommodate diverse market data formats and ensure comprehensive information management across all asset classes.
  3. User Experience Framework: Created a unified design system with reusable components and intuitive navigation based on iterative user testing to deliver a seamless platform experience.
  4. Distributed Application Integration: Built a microservices architecture with API gateways to ensure reliable cross-platform data synchronization and system-wide consistency.
  5. Performance Optimization: Engineered a high-performance system using code optimization, database indexing, caching, and auto-scaling serverless architecture to handle market volatility.

Result:

  • Reduced complexity by consolidating 30+ separate data sources into a single unified platform  
  • Engineered robust auto-scaling architecture to handle peak market volatility  
  • Enhanced data accessibility through streamlined user-centric interface  
  • Established new efficiency benchmarks for market data processing 

Technical Stack:

  • Backend: Ruby on Rails, Python, Serverless, AnyCable, Postmark, Git 
  • Frontend: Vue.js, Tailwind CSS, Vite, Inertia.js, Nuxt.js, Typesense, AG Grid
  • Database: PostgreSQL, SingleStore, dbt Cloud, Elasticsearch, Redis 
  • Cloud Technologies: AWS, GitHub Actions, Jenkins, Docker, Vercel 
  • Monitoring Tools: AppSignal, Honeybadger, Sentry 

At SSI, we don't just envision change,
we engineer and deliver it.