Solution
GIS Data & AI Analytics
Spatial modelling, machine learning asset extraction and enterprise GIS architecture, engineered to turn complex point clouds into intelligence your teams can act on.
- Inputs
- LiDAR, imagery, legacy CAD
- Work
- Classification, cleaning, re-projection
- Standards
- Open formats and open schemas
- Outputs
- Web maps and enterprise databases
The challenge & transformation
Organisations collecting large volumes of aerial and mobile mapping data drown in raw point clouds and unstructured imagery, struggling to draw a timely, meaningful answer out of isolated data silos. By fusing enterprise Geographic Information Systems (GIS) with artificial intelligence and machine learning analytics, AECA Solutions transforms how spatial data is processed and interpreted, converting millions of raw coordinates automatically into structured, searchable intelligence.
This analytical approach compresses processing timelines, turning weeks of manual digitisation into automated classification passes. By replacing tedious manual mapping with predictive algorithms and customised GIS workflows, your organisation can uncover spatial trends nobody had time to look for, automate asset management and accelerate decision-making, delivering reliable spatial intelligence faster than before.
Looking to streamline your spatial data workflows or deploy custom AI extraction models?
Speak with a GIS Data SpecialistThe capabilities & what we deliver
The work that moves GIS from a system of record to a platform teams plan, operate and maintain from, with one source of truth behind it.
AI-driven object extraction & classification
Machine learning models detect, classify and extract infrastructure features, buildings and vegetation from raw point clouds automatically.
- Automated building footprint and roof-type extraction
- Automated road furniture and utility pole classification
- High-speed bare-earth and vegetation filtering
- Custom machine learning model training for specialised assets
Enterprise GIS architecture & database integration
Spatial databases designed, structured and maintained, unifying aerial, mobile and legacy records into one collaborative ecosystem.
- Custom spatial database structuring on PostGIS and ArcGIS Enterprise
- Multi-user collaborative GIS workflow deployment
- Interoperable format conversion for CAD, BIM, GIS and open standards
- Secure cloud-hosted spatial data with access control
Spatial analytics & predictive modelling
Advanced spatial querying, spatial statistics and predictive modelling, to forecast trends, assess risk and optimise operations.
- Proximity, viewshed and corridor routing analysis
- Multi-criteria decision analysis for site selection
- Spatial change detection and historical trend modelling
- Custom executive dashboards and spatial intelligence reporting
Need customised AI algorithms for unique object recognition, or specialised enterprise GIS integration?
Request a Custom Technical ProposalApplied by Industries
The industries this work is commissioned in, and what a usable spatial database changes in each.
Centralised municipal GIS databases, property and asset records merged onto one grid, and urban spatial analytics that scale with the city.
Linear utility networks managed at scale, asset inventory records streamlined and maintenance cycles predicted from AI data models.
Multispectral and topographic layers processed into yield prediction and estate-scale maps at individual-tree resolution.
GIS-ready layers delivered fast enough to drop into an operations room already running.
Large-scale environmental modelling and land use tracking, differenced into a dated, positioned record of what changed and where.
Boundary and encroachment exception lists built from differenced captures rather than from patrol reports.
Ready to unlock the full potential of your spatial data with enterprise GIS architecture and AI-driven analytics?
Schedule a Consultation Today
