Nuraan extracts valuable insights from telecommunications network data to optimize site selection, improve accessibility, and support evidence-based planning across commercial and public sectors.
Nuraan leverages advanced spatial AI and machine learning to transform telecommunications network data into actionable location intelligence. Our algorithms analyze population patterns, predict movement trends, and optimize site selection decisions with privacy-preserving methods.
The platform combines geospatial analytics with predictive modeling to deliver data-driven recommendations that improve accessibility, reduce costs, and maximize coverage efficiency across commercial and public sector applications.
Built-in k-anonymity ensures all outputs meet privacy requirements. Aggregated data only, with no individual tracking or identification possible.
Works with standard CDR formats that telecommunications operators already possess. No complex behavioral modeling or unavailable data required.
Handle millions of events per day with efficient spatial aggregation and optimized database architecture.
Generate clear, measurable recommendations with quantified impact on accessibility, coverage, and cost efficiency.
Designed for commercial viability with clear ROI metrics and integration-ready API architecture.
Built on established frameworks and industry-standard spatial analytics techniques for reliability and maintainability.