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

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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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Iffirma b’xejnPay-per-use
Charges based on actual usage or consumption.
Ħidma
Insight Generation
Converts analysis into context-rich, actionable insights.
Kunsinnat bħala
Data Distribution
Qasam Ġeografiku

Anditi
Newcastle (NSW) spatial analytics company, founded in 2014, that uses proprietary AI and patented feature-extraction algorithms to turn LiDAR and imagery into road-safety, asset-management and environmental intelligence, with all analytics run in-house and onshore in Australia. Holds both iRAP and AiRAP accreditation for LiDAR- and imagery-based road Star Ratings.
2014
Imwaqqaf
11-50
Daqs tat-tim
l-Awstralja
Pajjiż
Provides processed data via standardised channels (APIs, feeds).