About Us
Turn your Location Intelligence efforts into powerful and reliable insights that will guide your decisions.
About Muhammad Hamza
As the founder of LocationStrategix, I, Muhammad Hamza, bring over a decade of experience in web application development, map dashboard design, and data modeling. Having worked extensively with SQL-free computation and REST API integration, my expertise also includes seamlessly integrating data warehouses and implementing Geographic Information Systems (GIS). Throughout my journey in the industry, I identified a crucial gap in harnessing location intelligence for effective decision-making, leading to the inception of LocationStrategix.
Understanding the significance of robust data layers, I envisioned the SiteStrategix Semantic Layer, connecting data models and metric definitions seamlessly. This layer not only facilitates computation of metric values but also integrates with external data warehouses and supports direct data input. The REST API capabilities ensure smooth execution of tasks, including metric value querying.
LocationStrategix's features, including location analytics tailored for banks, retailers, and delivery services, aim to revolutionize decision-making processes. By leveraging my skills in location analytics, GIS, and business decision support systems, I am committed to delivering a platform that turns location intelligence efforts into powerful and reliable insights, guiding businesses towards growth and success.
Global Backing
SiteStrategix is supported by external, international backers and strategic partners—beyond local fundraising— who believe in our mission to turn complex geospatial data into dependable, real-time business decisions. This backing helps us invest in the high-compute infrastructure required for large-scale spatial processing, continuous data pipelines, and always-on analytics.
International Support
External backing focused on long-term scale and product depth.
Compute-Heavy Stack
Optimized for parallel workloads, spatial joins, and batch + real-time runs.
Always-On Analytics
Continuous monitoring, scheduled jobs, and low-latency dashboards.
Operational Readiness
Redundancy, observability, and capacity planning for growth spikes.
Why this matters: location intelligence at scale is compute-intensive. As datasets grow, spatial computations require high memory, fast storage, and parallel processing to keep dashboards responsive and decisions timely.
