Sep 30, 2026
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Completed
StoneBay – Real estate management analytics platform
$75,000+
more 1 year
United States
6-9
Service categories
Service Lines
Software Development
Domain focus
Real Estate
Programming language
JavaScript
Frameworks
Node.js
React.js
Challenge
- Heavy Manual Operational Load: Property managers were spending excessive time on repetitive manual tasks, property valuations, and data entry across fragmented systems.
- Slow Data Collection & Property Evaluation: Gathering property data from public databases, social networks, and external directories was slow and prone to errors, hindering quick decision-making.
- Performance Drops During Bulk Searches: Large-scale property searches and file processing created system bottlenecks, leading to slow response times under heavy data loads.
- Heavy Manual Operational Load: Property managers were spending excessive time on repetitive manual tasks, property valuations, and data entry across fragmented systems.
- Slow Data Collection & Property Evaluation: Gathering property data from public databases, social networks, and external directories was slow and prone to errors, hindering quick decision-making.
- Performance Drops During Bulk Searches: Large-scale property searches and file processing created system bottlenecks, leading to slow response times under heavy data loads.
Solution
Clockwise Software designed and built a custom real estate management and analytics platform:
- Automated Property Data Pipelines: Developed automated pipelines that pull and ingest property listings, valuation data, and records from public databases and directories, eliminating manual data processing.
- High-Performance Bulk Search Engine: Engineered an optimized search system that processes property files line-by-line and merges results dynamically, improving search speeds during bulk queries.
- Modular SaaS Architecture: Structured the platform with a scalable, cloud-native architecture supporting multi-tier subscriptions, user roles, and recurring billing modules.
Stable Fixed-IP Integration Infrastructure: Implemented an AWS-based fixed-IP setup to maintain reliable data exchanges with external MLS databases and real estate APIs.
Clockwise Software designed and built a custom real estate management and analytics platform:
- Automated Property Data Pipelines: Developed automated pipelines that pull and ingest property listings, valuation data, and records from public databases and directories, eliminating manual data processing.
- High-Performance Bulk Search Engine: Engineered an optimized search system that processes property files line-by-line and merges results dynamically, improving search speeds during bulk queries.
- Modular SaaS Architecture: Structured the platform with a scalable, cloud-native architecture supporting multi-tier subscriptions, user roles, and recurring billing modules.
Stable Fixed-IP Integration Infrastructure: Implemented an AWS-based fixed-IP setup to maintain reliable data exchanges with external MLS databases and real estate APIs.
Results
- Automated 60%+ of Internal Operations: Significantly reduced manual administrative effort, cutting property evaluation times and operational overhead.
- Faster Data Processing: Boosted bulk search speed and query performance across large real estate datasets.
- High Customer Satisfaction: Achieved a 5.0 client rating on Clutch for quality of execution and delivery.
- Commercial SaaS Scalability: Built a strong foundation for commercial monetization, enabling the platform to scale to thousands of active users seamlessly.
- Automated 60%+ of Internal Operations: Significantly reduced manual administrative effort, cutting property evaluation times and operational overhead.
- Faster Data Processing: Boosted bulk search speed and query performance across large real estate datasets.
- High Customer Satisfaction: Achieved a 5.0 client rating on Clutch for quality of execution and delivery.
- Commercial SaaS Scalability: Built a strong foundation for commercial monetization, enabling the platform to scale to thousands of active users seamlessly.
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