GeoSquare is a leading geospatial solutions provider delivering
simplified location insights that drive business clarity and growth.
Most organizations face massive gaps when making spatial decisions.
Off-the-shelf maps miss local context, micro-POIs, land boundaries, and rapid urban developments — leaving businesses with a distorted picture of reality.
Spatial data requires specialized GIS expertise, multi-vendor tools, and complex data formatting. Most teams can't act on it without a dedicated analyst.
Manual ground surveys are slow, expensive, and difficult to scale across nationwide footprints — making continuous data refresh practically impossible.
Map visuals are nice, but business leaders need answers: "Where should we expand?", "What is the site score?", "What is our true market coverage?"
A full-stack spatial platform combining field survey execution with AI analytics — turning raw geographic data into actionable business answers.
Drones, LiDAR, ground mobile app, custom POI surveys, land parcel verification — executed by our own survey team across Indonesia.
Automated cleaning, deduplication, geo-referencing, and AI quality scoring to ensure every data point meets enterprise-grade standards.
Predictive scoring, cannibalization modeling, catchment area analysis, and demand index — powered by GeoBrain, our proprietary AI engine.
Web GIS dashboards, API integration, custom spatial reports, and shapefile/GeoJSON exports — ready to plug into your existing workflows.
Better data → Better models → Faster decisions
Instead of offering disconnected geospatial services, GeoSquare focuses on two fundamental Location Intelligence capabilities.
“What does this location look like?”
A Location Profile answers the fundamental question of understanding site context, surrounding territory dynamics, and environmental indicators before committing capital.
“Which location should we choose?”
Location Scoring helps organizations compare and evaluate multiple candidate locations using a structured, data-driven framework with comparative ranking.
Locations are systematically evaluated, weighted across customizable business criteria, ranked, and prioritized based on their relative commercial potential and cannibalization radius.
Switch between the AI Location Profiler copilot and the multi-variable Location Scoring inspector below.
Chat AIPilih salah satu modul analisis di bawah atau ketik lokasi yang ingin Anda evaluasi:
Powered by GeoSquare 50m Spatial Mesh Engine · Indonesia Coverage
Dari triliunan sinyal pergerakan mentah hingga output dashboard dan feed siap konsumsi untuk pengambil keputusan.
Multi-stream mobility signals, satellite telemetry, national census, and 5.8M+ POIs across Indonesia.
Sub-block spatial mesh aggregation, differential privacy, daypart velocity, and ML catchment modeling.
Turnkey enterprise interfaces matching whatever stack your organization operates.
Sub-block resolution that differentiates neighboring storefronts and land parcels with unmatched accuracy.
The most complete commercial directory in Indonesia, with demographics, visitor density, and competitor analysis.
From metropolitan Tier 1 cities to remote Tier 4 territories — no blind spots across Nusantara.
Multi-region infrastructure in Jakarta delivering ultra-low latency spatial intelligence at any scale.
Three enterprise spatial intelligence engines engineered for precision land, commercial growth, and risk mitigation.
Manage and optimize land assets with integrated spatial intelligence. Assess land portfolio health, generate location profiles, and evaluate development potential at any site across Indonesia.
Quantify market potential, benchmark outlet performance, and evaluate accessibility to maximize commercial success. Built for retail expansion, banking, and financial services.
Assess climate hazard exposure and location risk at any site in Indonesia. Quantify flood, subsidence, and natural disaster risk for investment, insurance, and infrastructure decisions.
GeoSquare delivers Location Intelligence through flexible outputs based on the needs of each organization — from executive PDF decks to programmatic API feeds.
Clear and actionable reports that communicate the key findings behind a location or portfolio.
Reports may include:GeoSquare intelligence can also be integrated directly into client systems and digital platforms through APIs.
Key Capabilities:All data is de-identified, verified by ground census, and hosted on sovereign Indonesian cloud infrastructure.
Multi-layered spatial intelligence connecting ground demographics, mobility, environmental risks, and machine learning models for precise commercial decisions.
Detailed information of the location, from foot traffic, commercial coverage, demography, and hazard analysis.
Blends expert spatial knowledge with machine learning to connect multiple data layers, revealing patterns that matter.
Turns those patterns into detailed land value estimates and viability scores, enriched by key influencing drivers.
Income strata, education levels, household purchasing power, and desirable demographic patterns.
Proximity to central commercial hubs, employment nodes, government centers, and arterial avenues.
Official spatial zoning: residential, commercial, industrial, green belt, and mixed-use regulations.
10-year hydrological flood return models, elevation, drainage capacity, and historical inundation risk.
Day vs night mobility density, commuter footfall intensity, and active catchment population size.
Transit isochrones to MRT, LRT, Commuter Line, toll gates, and primary multi-modal access routes.
Clustering of F&B, supermarkets, healthcare facilities, schools, and essential lifestyle services.
Current transaction prices, listing comparables, and buyer-seller equilibrium at specific time windows.
Final objective economic value per 50×50m grid, independent of building structures, calibrated by AI.
Targeted AI workflows designed for expansion strategists, territory managers, and supply chain operators.
Uses machine learning with thousands of spatial variables to identify key drivers of store success. Produces heat maps that highlight the best areas for future expansion based on feature importance.
Detailed information of the location, from traffic, coverage, demography, and hazard analysis. Enhanced with AI-generated reports offering tailored sales, delivery feasibility, and marketing strategies.
Combines weather, traffic, event context, urban indicators, and historical sales data to forecast hourly outlet-level demand, giving operators proactive replenishment and staffing alerts.
Understand the value and quality of your location using objective and measurable spatial analytics methods. GeoLand produces 50×50 meter grids filled with multi-factor indicators to support rapid land assessment and appraisal.
Proximity and travel time to Train/KRL stations, MRT, LRT, and Toll Road arterial entrances.
Zoning balance, green canopy ratio, pedestrian safety, and residential neighborhood stability.
F&B footfall density, commercial retail clustering, and diurnal visitor activity index.
Satellite-derived land subsidence rate, 10-year flood hazard return periods, and soil stability.
Available as custom advisory reports or programmatic API feeds across Jakarta and all major Indonesian metropolitan corridors.
Eliminate weeks of manual appraisal turnaround. Banks and multi-finance lenders automatically trigger GeoSquare spatial scoring APIs at loan origination to evaluate prospective debtors in milliseconds.
Enhance your insights with Geospatial AI for: automatic data extractions for buildings, land covers, tree counting; digital twin & 3D modeling; and GIS & Remote Sensing analytics.
Automated deep-learning segmentation of building footprints, roof typology, and perimeter dimensions from high-resolution satellite and aerial ortho-imagery.
Multi-temporal classification of land surface changes: vegetation vigor, built-up surfaces, water bodies, and agricultural plots for regional planning.
Automated crown detection and individual counting for oil palm, industrial timber (HTI), and agroforestry plantations with NDVI canopy vitality indexing.
Advanced spatial statistical analysis: isochrone reachability modeling, kernel density estimation, and multi-criteria decision analysis (MCDA).
Hydrological runoff simulations combining high-precision Digital Elevation Models (DEM/DSM), historic satellite radar (SAR) inundation, and rainfall return periods.
Millimeter-grade LiDAR point cloud processing, LoD2 3D building models, and textured 3D meshes for smart city governance and asset life-cycle management.
High-performance road network topology analysis, multi-depot vehicle routing optimization, and arterial supply chain bottleneck identification.
Empowering national land banking (Badan Bank Tanah), corporate forestry, and industrial plantations with cadastre availability, biophysical suitability, and EUDR compliance audits.
Identify available land by checking forest status, title deed, and current utilization. Helps stakeholders quickly see what land can be managed or repurposed.
Evaluate land profile based on characteristics such as soil, slope, water, and vegetation. Provides suitability scores for agriculture, plantations, and settlements.
Monitor historical land status by assessing with EUDR compliance, spatial plans, and restricted forest areas to prevent deforestation and land degradation.
Identifies high-potential solar deployment areas, revealing locations that combine strong energy yield with proximity to demand and existing infrastructure. This map-based analysis helps prioritize sites that balance technical feasibility, grid relevance, and real-world usage signals for efficient solar investment decisions.
GeoSquare eliminates speculative land scouting, cutting feasibility study lead times from 6 months down to under 48 hours.
REQUEST PLTS FEASIBILITY REPORTSpecialized spatial analytics tailored to the unique operational and capital requirements of leading enterprises and institutions.
Identify the highest-potential sites for new branches, outlets, or dark stores. Model catchment footfall, benchmark competitors, and eliminate cannibalization before signing leases.
Empower credit underwriting and mortgage appraisal with objective spatial intelligence. Map branch and ATM performance, identify unbanked pockets, and benchmark land collateral value.
Assess land value, development feasibility, and transit-oriented development (TOD) potential. Replace subjective appraisals with foot-traffic-calibrated spatial valuations.
Map utility corridors, transmission towers, renewable solar sites, and pipeline right-of-ways. Combine high-precision drone photogrammetry and LiDAR with ground asset monitoring.
Modernize municipal cadastral data, optimize local property tax (PBB-P2) revenues, and analyze urban mobility across all 17,508 Indonesian islands with verified spatial intelligence.
Quantify climate hazard exposure — flood frequency, land subsidence, and natural disaster vulnerability — at any site across Indonesia. Essential for ESG reporting and underwriting.
TRUSTED BY LEADING ENTERPRISES IN INDONESIA
SUPPORTED BY GLOBAL ACCELERATORS & INDONESIAN SPATIAL ECOSYSTEM
Beyond analytics — GeoSquare operates its own field survey and geomatics capability across Indonesia. From drone flights to LiDAR scanning and ground POI census, we deliver verified spatial data where digital sources alone are insufficient.
Systematic on-the-ground data collection to verify, update, and enrich point-of-interest (POI) records across any corridor or region in Indonesia. Ensures data accuracy where satellite imagery alone falls short.
High-resolution aerial imagery and orthophoto production using drone platforms. Ideal for land boundary mapping, construction progress monitoring, and large-scale site documentation.
Precision 3D point cloud capture of buildings, infrastructure, and terrain using terrestrial and mobile LiDAR systems. Used for BIM, asset management, and structural analysis.
Tailored field survey programs using mobile GIS platforms for rapid, scalable data collection. From socioeconomic surveys to infrastructure inventories — deployed nationwide.
The same verified geographic database powers strategy, daily operations, and long-term asset monitoring without redundant field surveys.
Discover high-opportunity market gaps and benchmark competitor white spaces before capital commitment.
Identify underserved areas based on true spatial population demand and network infrastructure.
Track commercial category density, competitor footprint growth, and brand penetration over time.
Maintain a single verified, georeferenced master asset registry for auditing and operational agility.
Akses seluruh data spasial mikro, catchment poligon, dan skor kelayakan lokasi secara instan lewat REST API dan SDK resmi berlatensi rendah.
Multi-region lokal di Jakarta untuk respon real-time pada aplikasi mobile, website, maupun scoring kredit.
Granular API tokens, IP allowlisting, dan 100% data de-identification sesuai regulasi privasi nasional.
Ekspor berkala dalam format GeoParquet untuk dihubungkan langsung ke data pipeline internal Anda.
curl -X POST "https://api.geosquare.ai/v1/spatial/score" \
-H "Authorization: Bearer gsq_live_94f8a29b4e" \
-H "Content-Type: application/json" \
-d '{
"coordinates": { "lat": -6.2088, "lng": 106.8456 },
"resolution": "50m",
"metrics": ["foot_traffic", "affluence_index", "catchment_polygon"]
}'Semua hal mendasar mengenai akurasi, metodologi spasial, dan kepatuhan privasi GeoSquare.
Riset empiris mendalam, studi kasus pergerakan ritel, dan panduan analitik spasial terkini untuk para pengambil keputusan korporasi.
Analisis komparatif 180+ mall di Jabodetabek, Surabaya, dan Bandung. Evaluasi pergeseran dwell time pengunjung, tenant overlap, dan tren pemulihan ritel fisik.
Bagaimana jaringan ritel minimarket dan QSR memangkas waktu validasi lokasi hingga 75% serta meminimalisir kanibalisasi gerai menggunakan scoring AI.
Studi empiris pergerakan 15 juta komuter harian di koridor transit MRT, KRL, dan tol Trans-Jawa untuk penempatan cabang bank dan jaringan ritel.
Schedule a confidential consultation with our spatial data team or request sample reports to evaluate precision location intelligence first-hand.