PangeAI

Overview

PangeAI is a geospatial intelligence platform designed for non-GIS experts, using autonomous AI agents to turn natural language queries into actionable spatial analysis outputs. Users don't need any GIS knowledge—just ask in everyday language and get complex spatial analyses and simulations in minutes that would otherwise take specialists days to complete.

At the core of the platform is an agent-driven end-to-end workflow: the agent automatically selects the most appropriate analytical methods and connects and integrates massive internal and external geospatial data sources—including satellite imagery, terrain data, environmental variables, and infrastructure information—making geospatial tasks that were once expensive, slow, and heavily manual accessible to all.

PangeAI focuses on three key sectors: energy, natural capital, and insurance, delivering high-value applications ranging from renewable energy siting and transmission corridor risk monitoring to land-use change tracking and asset-level catastrophe scoring. For enterprise teams seeking to turn fragmented, siloed geospatial data into actionable decision intelligence, PangeAI provides a smarter path with lower barriers and higher efficiency.

Core capabilities

Natural language query

Ask the AI in everyday language and get spatial analysis results with zero GIS expertise.

Autonomous agent

The agent automatically selects the most suitable analysis methods and data sources to complete tasks.

Instant analysis and simulation

Deliver complex spatial assessment results in minutes that would otherwise take days.

Automated data integration

Seamlessly incorporate internal and external geospatial data without manual transfer or cleaning.

Intelligent method selection

AI automatically matches the best methods—remote sensing, spatial statistics, or risk models—based on the question.

Energy industry applications

Supports renewable energy siting, transmission corridor risk, and climate risk assessment.

Natural capital assessment

Track land use change, deforestation, and map ecological restoration opportunities.

Insurance risk analysis

Provides asset-level hazard scores and visualization of portfolio risk exposure.

End-to-end workflow

A one-stop closed loop from natural language questions to visualized spatial outputs.

Use cases

Renewable energy site selection: Automatically assess the spatial distribution and feasibility of wind and solar resources after entering requirements.

Transmission corridor risk monitoring: Continuously assess geohazard and environmental risks along power grid routes.

Climate risk assessment: Analyze the spatial exposure of assets to climate change impacts such as floods and heatwaves.

Land use change tracking: Automatically monitor regional development, farmland shrinkage, and urban expansion trends.

Deforestation and restoration: Identify deforestation hotspots and map nature-based restoration opportunities.

Asset-level hazard scoring: Quickly generate composite hazard scores for individual properties covering floods, earthquakes, and more.

Insurance portfolio exposure analysis: Batch-evaluate the spatial distribution of cumulative losses for a portfolio under specific hazards.

Biodiversity assessment: Analyze habitat quality and species diversity indicators within project areas.