Project Overview
The financial firm was constrained by an aging C++ desktop CRM. The codebase was difficult to maintain, incompatible with modern web APIs, and restricted to Windows environments. As the firm grew, the legacy system could no longer handle the required volume of real-time financial analytics.
MetaDesign Solutions executed a complete rewrite, replacing the C++ application with a modern Next.js architecture. The new CRM was deployed as a web application for broad accessibility and as an Electron desktop app for power users requiring multi-monitor support and native file system access. PostgreSQL was utilized to handle the complex, high-volume financial data. The new system unified their wealth management workflows and paved the way for advanced machine learning analytics.
AI-Assisted Agentic Rewrite
We utilized AI-assisted tools to analyze the legacy C++ codebase, extracting core business logic, financial algorithms, and data structures. This accelerated the rewrite process, allowing our engineers to rapidly reconstruct the complex logic within a modern TypeScript and Next.js environment.
Cross-Platform Next.js & Electron
The new CRM was built with responsive web technologies (Tailwind CSS, React) and packaged via Electron. This provided immediate cross-platform support (Windows, macOS) and allowed financial advisors to securely access client data from any device via the web portal.
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High-Performance PostgreSQL Storage
We architected a highly optimized PostgreSQL database schema to replace the legacy local data stores. We implemented advanced indexing, materialized views for complex financial reports, and a robust API layer to ensure rapid data retrieval and real-time analytics.
Key Challenges
High Technical Debt
An aging, unmaintainable C++ codebase riddled with decades of technical debt made implementing new features nearly impossible.
API Incompatibility
The legacy architecture was fundamentally incompatible with modern third-party financial APIs and web-based services.
Platform Lock-in
The application lacked cross-platform support, restricting financial advisors to Windows-only desktop machines.
Abysmal Performance
The system suffered from extremely poor performance when attempting to run complex financial analytics on large, modern datasets.
Results & Outcomes
The new CRM empowered financial advisors with modern tools, cross-platform access, and seamless integrations with external financial services. The transition to PostgreSQL and optimized API endpoints reduced complex report generation times from minutes to seconds. The firm now has a scalable, future-proof platform free from legacy technical debt.
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