Question 1

What is GeoAI?

Accepted Answer

GeoAI applies artificial intelligence and machine learning to geospatial data such as parcels, satellite imagery, sensor feeds, field observations, and business locations. It helps teams detect patterns, predict risk, classify assets, and prioritize decisions on a map.

Question 2

What are AI-based GIS solutions?

Accepted Answer

AI-based GIS solutions combine spatial data infrastructure with models that support tasks such as site suitability scoring, anomaly detection, image classification, route optimization, asset prioritization, and automated reporting.

Question 3

Do you provide a remote GIS team?

Accepted Answer

Yes. MapMatics embeds a remote GIS team with QGIS, PostGIS, and Python specialists who work as an extension of your staff—handling mapping, spatial analysis, ETL backlogs, and production support on flexible retainers with documented hand-offs.

Question 4

Do you offer GIS training and workshops?

Accepted Answer

MapMatics delivers custom GIS training and workshops for QGIS, PostGIS, Python geospatial automation, and Mergin Maps field workflows. Sessions are tailored to your datasets, recorded for reference, and available virtually or on-site.

Question 5

Can you process LiDAR with custom tools?

Accepted Answer

MapMatics builds LiDAR processing pipelines with custom Python and PDAL tools for classification, DEM generation, feature extraction, and QA. Outputs integrate into PostGIS and publish to GeoServer or cloud storage for downstream GIS and engineering teams.

GIS, GeoAI, and Spatial Data Insights

Scaling Enterprise Fieldwork with Mergin Maps DB Sync and Work Packages