PropertyPilot: AI-Powered Real Estate Platform Stabilization, Performance Optimization, Subscription Management & iOS App Launch
AddWeb Solution was engaged to stabilize and optimize an AI-powered real estate research platform for Ryan Mitchell, a US-based real estate technology business owner. The platform helps real estate professionals search, analyze, and discover property opportunities using natural language.
Over a 3-week engagement, AddWeb Solution resolved critical bugs, improved application performance and responsiveness, prepared the platform to support up to 1,000 concurrent users, optimized Regrid API usage and costs, implemented and validated subscription management workflows, and provided technical support for the iOS App Store submission process
The Business Needs
Building a More Stable, Scalable and Commercially Ready AI-Powered Real Estate Platform
Ryan Mitchell’s real estate technology platform was designed to help real estate agents research properties and land through AI-powered natural language search. Instead of relying on conventional filters, users can enter queries such as “Find vacant commercial lots over 10 acres in Grey Court, SC” or “Show land owned by Pulte Homes.”
As the platform progressed toward broader usage, several critical technical issues needed to be addressed.
Bugs identified during the review were affecting platform reliability, while performance and responsiveness required further optimization across core user workflows.
Scalability was a key concern. The existing application needed to be optimized to support up to 1,000 concurrent users while maintaining a responsive experience for real estate professionals working with large property datasets and AI search functionality simultaneously.
The platform’s subscription system also required attention. Subscription verification, access control, and billing workflows needed to be correctly implemented and validated to ensure users were accurately provisioned with the correct access level based on their active plan, and that the revenue model was functioning reliably before wider release.
The platform relied on Regrid for parcel and property data. Optimizing API usage was important to reduce unnecessary requests and control third-party data costs as usage and subscription numbers increased.
Finally, the iOS application required technical support for App Store submission, helping move the product closer to public availability and subscription-based revenue generation.
About Our Client: Ryan Mitchell, a US-based real estate technology business owner, engaged AddWeb Solution to strengthen the platform’s technical foundation across bug resolution, performance optimization, scalability preparation, subscription management, Regrid API cost control, and iOS App Store submission support.
Our Approach
Stabilization, Performance Optimization, Subscription Validation, Scalability Preparation, and API Optimization
AddWeb Solution started with a focused technical review of the application to identify critical bugs, performance bottlenecks, responsiveness issues, subscription workflow gaps, API inefficiencies, and potential scalability constraints.
The priority was resolving the critical bugs identified during the review. Each issue was analyzed based on its impact on core user workflows before fixes were implemented and validated across the affected areas of the platform.
Performance optimization was performed across the application to improve response behavior and create a smoother experience for users interacting with property data and AI-powered search functionality at scale.
We built the subscription management system from scratch to ensure accurate user provisioning, reliable access control based on active plan status, and seamless billing workflow behavior. This was a critical commercial requirement for a subscription-revenue platform preparing for wider public release.
The application architecture and backend processing were reviewed with a target capacity of up to 1,000 concurrent users. Potential bottlenecks involving backend processing, database operations, and third-party API requests were addressed as part of the optimization process.
Regrid API usage was analyzed to identify opportunities to reduce unnecessary requests and improve data retrieval efficiency, addressing both application performance and API cost considerations as the subscriber base grows.
The final phase included iOS release and App Store submission support for the Capacitor-based mobile application.
The Solution
What It Delivers for Ryan Mitchell’s Real Estate Platform
Critical Bug Resolution
All critical bugs identified during the technical review were addressed through targeted debugging and functional fixes, improving platform reliability across important workflows
Improved Performance and Responsiveness
The application was optimized to improve processing efficiency and responsiveness, providing a smoother experience when users interact with property searches, data, and AI-powered features.
Scalability Support
The platform was optimized to support up to 1,000 concurrent users, addressing scalability concerns and establishing a stronger foundation for future subscriber growth.
Subscription Management Implementation From Scratch
Subscription management system implemented from scratch; access control and billing workflows were correctly implemented and validated, ensuring users are accurately provisioned based on their active plan and that the platform’s subscription revenue model operates reliably ahead of wider release.
Regrid API Usage Optimization
Regrid API consumption was reviewed and optimized to reduce unnecessary requests, improve property data retrieval efficiency, and help control third-party API costs as subscriber numbers increase.
AI-Powered Real Estate Research
The platform enables real estate professionals to search for properties and land using natural language. Users can describe their requirements conversationally and use AI-powered functionality to support their research workflows.
iOS App Store Submission Support
AddWeb Solution provided technical assistance throughout the App Store submission process, supporting the preparation and release of the Capacitor-based iOS application.
Stronger Technical and Commercial Foundation
The combined stabilization, subscription management, and optimization work strengthened both the platform’s technical foundation and its commercial readiness for continued development and subscription-based growth.
Key Features & Activities
How It Was Done
Screenshots
Showcasing AI-Powered Property Search, Subscription Management Workflows, Real Estate Research Functionality and iOS Application
Client Testimonial
What Our Client Says
Final Outcome
A More Stable, Responsive, Scalable, Subscription-Ready and Release-Ready Real Estate Platform
Through AddWeb Solution’s focused stabilization and optimization engagement, Ryan Mitchell’s AI-powered real estate platform moved toward a more reliable, scalable, and commercially ready application.
All critical bugs identified during the review were addressed, while performance and responsiveness improvements created a smoother experience for real estate professionals using the platform.
The subscription management system was correctly implemented and validated, ensuring users are accurately provisioned based on their active plan and that the platform’s subscription revenue model operates reliably as the user base grows.
The technical architecture was optimized with a target capacity of up to 1,000 concurrent users, helping establish a stronger foundation for future platform and subscriber growth.
Regrid API usage was optimized to improve request efficiency and help control property data costs as subscription numbers increase.
The project also included iOS App Store submission support, helping move the Capacitor-based mobile application toward public release and subscription-based revenue generation.
With stabilization, subscription management, scalability preparation, API optimization, and release support completed within the planned 3-week engagement, the platform now has a stronger technical and commercial foundation for continued development and adoption.
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