SiteRecon is the world’s first unified platform combining 8-category threat scoring, 13 commercial AI engines, 100-parameter site feasibility, and urban graph intelligence — all running locally on your machine. No cloud. No consultants. No waiting.
SiteRecon integrates Geospatial Threat Intelligence, Urban Commercial Intelligence, and Site Feasibility Engineering — all running on-premise on a standard Windows laptop. No cloud subscription required.
8-category composite threat scoring with live data from ACLED conflict events, USGS seismic, Google Earth Engine satellite imagery, and OpenStreetMap. Scores any location 0–100 across Geopolitical, Accessibility, Visibility, Perimeter, Infrastructure, Environmental, Change Detection, and Surveillance dimensions.
13 analytical engines produce a full commercial site intelligence report: HHI competitive concentration, price elasticity of demand, Gordon Growth equity return, Monte Carlo viability distribution, agglomeration economics, GEB-TURING formal logic audit, competitor profiling, scenario stress-testing, and Decision Engine output.
100-parameter expert assessment engine replicating the combined expertise of a senior urban planner, civil/geo-environmental engineer, commercial real estate analyst, and site manager. Covers Physical, Regulatory, Utilities, Market, Financial, Buildability, and Risks & Governance — all computed locally in under 3 seconds.
Computes a composite 0–100 threat score using live fused data. Weights: Geopolitical 18%, Accessibility 18%, Surveillance 13%, Visibility 13%, Perimeter 13%, Infrastructure 10%, Environmental 8%, Change Detection 7%.
Delivers in under 60 seconds what traditional consulting firms charge Rs 50 lakh and 6–12 weeks to produce. Covers every dimension that determines commercial viability.
Graph-theoretic commercial intelligence engine mapping supply chains, competitor networks, and infrastructure dependencies across any urban area.
Enabled by authorised analysts only. Activates economic resilience scoring, dual-use commercial detection, and supply chain chokepoint analysis for national security applications.
One platform powering decisions across physical security, commercial real estate, construction, urban planning, and investment management.
Score threat level at any installation, embassy, or critical facility worldwide. Monitor perimeter defensibility, surveillance exposure, and approach vectors. Generate SITREP intelligence briefs for security leadership.
Analyse retail, office, and industrial site viability before lease signing. Benchmark HHI competitive concentration. Run Monte Carlo viability distribution. Calculate Gordon Growth equity return for investor presentations.
Run 100-parameter feasibility assessment before site acquisition. Identify zoning, soil, environmental, and utility risks early. Generate weighted feasibility score with full category breakdown for client or board presentations.
Map supply chain networks and competitor clusters using Neo4j graph. Apply DBSCAN clustering to identify commercial density zones. Track satellite change detection over time. Run scenario stress tests for infrastructure investment decisions.
Apply GEB-TURING formal logic audit to intelligence assessments. Generate ALPHA/BETA/GAMMA intelligence grades. Run economic resilience and dual-use scoring for strategic assets. OSINT microservice for IP/domain/network intelligence on threat actors.
Apply Gordon Growth Model to any commercial location portfolio. Identify EXCEPTIONAL vs UNATTRACTIVE return sites. Run 10,000 Monte Carlo simulations per site for risk-adjusted NPV. Export full methodology report for investor committee approval.
Replicates the combined expertise of a senior urban planner, civil engineer, real estate analyst, and site manager. Covers every dimension from geotechnics to planning overlays to IRR.
All 12 data sources are queried directly from your machine. No data is routed through ATBOSE servers. Runs air-gapped with pre-cached data for classified environments.
Python 3.14 · Streamlit · FastAPI · Neo4j · PostGIS · Elasticsearch · Claude Sonnet 4 (narrative generation) · Docker Compose
Drop a pin. SiteRecon's 13 AI engines immediately query 12 live data sources in parallel — satellite imagery, conflict feeds, seismic data, urban graph, OSINT signals — and return a full intelligence report before a human analyst finishes their first cup of coffee.
| Platform | SiteRecon | ESRI ArcGIS | Traditional DD |
|---|---|---|---|
| Cost | One-time licence | Rs 5–15L/year | Rs 10–30L/project |
| Analysis Time | < 60 seconds | Days | 4–8 weeks |
| On-Premise / Local | ✓ Yes | ✗ No | N/A |
| Threat Intelligence (8 cat.) | ✓ Full | Partial | ✗ Manual |
| Site Feasibility (100 params) | ✓ Full | ✗ No | Partial |
| Monte Carlo Simulations | ✓ 10,000 | ✗ No | ✗ No |
On-premise perpetual licence — one-time fee, all updates included for 12 months. No per-query charges. No data leaving your machine.
For individual analysts and small teams getting started with site intelligence.
For teams running continuous site intelligence across multiple locations.
For defence agencies, enterprises, and organisations requiring full deployment.
SiteRecon deliberately borrows from disciplines that do not normally speak to each other. None of these frameworks were designed for this purpose. That is precisely why they are useful here. Mainstream threat platforms use the same tools as each other. SiteRecon treats spatial intelligence as an interdisciplinary problem — borrowing the sharpest instrument from each field, regardless of its origin, and making it answer a geospatial question it was never meant to answer.
A stock valuation formula with no obvious business inside a threat intelligence platform. We use it anyway, applied to commercial site viability, because the underlying logic is sound: a site's strategic value decays or compounds over time like a financial instrument.
The formula forces analysts to ask "what is the long-term yield of this location?" rather than just "is it dangerous today?"
A framework largely abandoned even by economists who know it exists. We use it because it models something real and undermodelled: why clusters of similar activity attract more of the same, and why that matters for predicting where a threat ecosystem will grow next.
Spatial clustering as a leading indicator of adversarial concentration — before the intelligence community notices it.
A market concentration metric from antitrust law. It tells us whether a site exists in a monopolised or competitive commercial environment — which predicts both economic fragility and adversarial interest.
A monopolised commercial zone is structurally fragile. A contested one is strategically contested. The index makes both legible.
Mainstream threat platforms use the same tools as each other. SiteRecon does not compete on that axis. We compete on the depth of the question — and on our willingness to import the right instrument from wherever in the intellectual landscape it happens to live.
From building footprint to 8-view photorealistic render in 2–3 minutes. Geometric aesthetic inspired by classical Michelangelo proportions applied to contemporary buildable form.
SiteRecon delivers in under 60 seconds what traditional consulting firms charge Rs 50 lakh and 6–12 weeks to produce. Request a live demonstration and ATBOSE engineers will walk you through an analysis of any location you choose.