AI-powered LiDAR analytics for large-area environmental and infrastructure feature detection

ALISE (Accelerated Land Information System Engine) is Anditi's big-data analytics engine that fuses LiDAR point clouds, aerial imagery, and ancillary spatial layers, then applies proprietary AI and optimisation algorithms to automatically detect and classify features across areas ranging from tens to thousands of square kilometres. Core capabilities include fauna mound and burrow detection (e.g. Malleefowl habitat surveys), terrain and hydrological analysis, digital terrain model generation, and automated extraction and classification of infrastructure assets such as powerlines, roads, rail, bridges and buildings. Outputs are delivered as shapefiles and spreadsheets for direct use in GIS and environmental workflows, replacing resource-intensive manual survey methods. The service is fully managed by Anditi's in-house specialist team.
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Anditi
Australian spatial-analytics company that leverages proprietary AI software and GeoAI portals to transform LiDAR and imagery into road-safety, asset-management and environmental intelligence.
2014
Founded
11-50
Team size
14
Country
Converts analysis into context-rich, actionable insights.