Optimising a Real Estate Web Application

We delivered full-cycle optimisation and technical improvements for a real estate web platform already in active development.
Optimising a Real Estate Web Application
Real Estate

About the Project

A US-based real estate company offers a web application helping users organise, analyse, and manage property-related data. The application helps brokers, lenders, investors, and analysts create structured property profiles, automate financial modelling, and collaborate through secure smart data rooms. This powerful product required deeper optimisation, architectural refinement, and support for expanding business logic to meet growing user needs.

Client’s Needs

Foresight brings together AI-powered underwriting, smart data rooms, and property profile automation into a single workspace for real estate professionals. As the product continued to scale, there was a growing need for an engineering partner capable of optimising and debugging existing functionality. Several third-party integrations also required stabilisation to ensure consistent performance across the platform. Sustainable growth depended on strong technical ownership to guide development and keep the system stable as new capabilities were introduced.

How We Delivered

We joined the project during an active development stage. The work spanned both front-end and back-end development. Our responsibility was to help stabilise the development flow, clarify technical priorities, and support the team as the platform progressed toward more advanced functionality.

Modernising architecture for new product logic

To support ongoing product expansion, we reworked significant parts of the backend architecture. This included updates across the .NET layer, improving data access patterns built with Dapper and EF Core.

Rewriting subscription & billing logic

One of the most technically challenging tasks was redesigning the subscription system to support company-level billing. We rebuilt the logic to allow multiple users to operate under a single company account and re-engineered the Stripe integration to match this structure. Webhooks were added to keep data in sync, and a background service was developed to process subscription changes and ensure accuracy. This overhaul replaced unreliable legacy code with a stable, scalable solution.

API Integrations & Third-Party Services

The platform relied on several external services, including the ChatGPT API, Google API, and Strapi. We refactored these integrations to ensure consistency across the application, improved their reliability, and aligned them with updated business workflows.

Bug fixing, testing & continuous improvement

Our team provided continuous technical support by resolving complex bugs across React, Next.js, and .NET. We also optimised slow processes that affected the user experience and reduced technical debt. This was achieved by documenting logic, improving structure, and clarifying workflows throughout the codebase.

Business Impact

As a result of our enhancements, the platform is now better equipped to support the workflows of real estate professionals. Users can collaborate more reliably, navigate complex property data with fewer interruptions, and work across tools with greater ease. With a more robust foundation in place, the platform now delivers smoother deployments and the scalability needed to support future expansion.

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