GLOQ
How Does GLOQ Work?
Data Collection and Conversion
Validation with Historical Data
Data Collection and Conversion
Using AI, GLOQ collects data from multiple sources, including building departments,
BrightDATA, MLS, and other relevant databases. The gathered data is converted into values that GLOQ’s engines can
process and analyze.
Predictive Analysis
Validation with Historical Data
Data Collection and Conversion
GLOQ examines the surrounding data, runs it through the building code under which the property was built, and predicts any missing values related to infrastructure, compliance, and system requirements.
Validation with Historical Data
Validation with Historical Data
Validation with Historical Data
The platform validates these predictions using AI by comparing them with historical data and surrounding property data, ensuring accuracy and reliability.
Infrastructure Evaluation
Parallel Computation for Optimization
Validation with Historical Data
GLOQ assesses the current state of the property’s infrastructure to understand its capabilities and identify opportunities for repurposing or redevelopment.
Parallel Computation for Optimization
Parallel Computation for Optimization
Parallel Computation for Optimization
Through parallel computation, GLOQ evaluates every possible conversion
scenario, calculating costs, feasibility, and profitability for each.
Solution Comparison
Parallel Computation for Optimization
Parallel Computation for Optimization
GLOQ then compares all optimized solutions against each other to determine the best use of the property, whether for repurposing, redevelopment, or new construction.