Transforming Urban Systems Through Intelligence, Simulation & Spatial Computing
GeoAI and Digital Twin technologies enable cities, utilities, and enterprises to simulate real-world systems, predict risks, and optimise planning decisions with unprecedented accuracy. At Innpact Solutions, we integrate satellite analytics, AI-driven modelling, 3D spatial data, and interactive dashboards to create living, learning systems that support resilience, sustainability, and evidence-based governance.
Recent Digital Twin Projects
- King Abdullah Financial District, Riyadh: GeoBIM integration and an Unreal Engine digital twin for leasing, energy, security and crowd management.
- Environmental digital twin, UAE: a GIS and 3D platform for environmental monitoring and analysis (in delivery).
- Narsapur faecal sludge treatment plant, Andhra Pradesh: a VR tour with an AI guide, an on-site kiosk and a live performance dashboard.
Our GeoAI & Digital Twin Capabilities
1. AI-Driven Spatial Intelligence
Our GeoAI models extract, classify, and predict geospatial patterns using satellite, drone, IoT, and municipal datasets.
We specialise in:
- Automated land-use/land-cover & built-up extraction
- Impervious surface mapping & micro-habitat analysis
- Encroachment detection & change detection
- Hotspot clustering for heat, pollution, and flood risks
- Scenario modelling for climate resilience and infrastructure planning
These insights power risk zoning, early warning systems, and planning decisions backed by real-time intelligence.
2. 3D Digital Twins for Cities & Infrastructure
We build interactive 2D/3D and 4D digital twins that replicate real-world assets—buildings, streets, utilities, and natural systems—on an intelligent spatial platform.
Key features include:
- High-resolution 3D environments using GIS, BIM, and drone data
- Layered integration of climate hazards (heat, flood, air pollution)
- Asset-level vulnerability scoring for buildings, roads, and public infrastructure
- Real-time feeds from IoT, mobility sensors, air-quality monitors
- Predictive modelling and scenario simulation
These digital twins help planners visualise risks, compare interventions, and optimise investments.
3. Environment & Climate Simulation Engines
We combine geospatial data with hydrological, microclimate, and pollution models to simulate future risk across multiple climate parameters.
Our modelling stack includes:
- Heat stress modelling: LST, UHII, WBT, WBGT, humidity
- Flood simulation using 10-year SAR archives & DEM analysis
- Air-quality digital twins integrating satellite + ground calibration
- Stormwater & infiltration modelling using SWMM
- Scenario-based emission & mobility analysis
This helps cities build climate-ready strategies grounded in science and spatial evidence.
4. Decision Dashboards & Data Platforms
We deliver enterprise-grade climate and infrastructure dashboards that bring analytics, simulation outputs, and AI-driven insights to decision-makers through intuitive web platforms.
Capabilities include:
- Real-time digital twin dashboards (Mapbox, Deck.gl, Unreal Engine)
- Infrastructure risk assessment tools
- Spatial query engines linked to municipal GIS
- Scenario comparison and investment prioritisation
- Citizen-facing and policy-facing interfaces
These platforms convert complex data into clear, actionable intelligence.
Use Cases Across Sectors
Urban Planning & Governance
Climate-risk zoning, land-use planning, infrastructure prioritisation, and compliance monitoring.
Environment & Disaster Management
Flood early warning, heat stress mitigation, pollution corridor detection, and ecosystem restoration planning.
Smart Cities & Utilities
Asset management, mobility optimisation, IoT-integrated digital twins, and predictive maintenance.
Industry & Real Estate
3D site simulations, ESG reporting, compliance mapping, and solar potential assessments.
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