Built on proven geospatial engines — enhanced with practical, explainable AI.
Vectors. Rasters. Point Clouds. GeoAI — combined into a single execution platform.
Scalable geometric operations leveraging the industry-standard PostGIS engine. We expose strict SQL-compliant operations through a visual interface. Guarantees: Full ACID compliance, OGC Simple Features adherence, and rigorous floating-point precision handling.
Join attributes based on ST_Intersects, ST_Contains, or ST_Within relationships.
Geodesic buffers (ST_Buffer) with customizable end-cap styles and side parameters.
Compute precise geometric intersection of complex polygon layers (ST_Intersection).
Aggregate features and merge geometries based on attribute grouping (ST_Union).
Calculate raster statistics within defined vector zones using robust summary stats.
Extract or remove features using an overlay polygon (ST_Difference).
High-performance pixel-based analysis running on optimized GDAL binaries. Guarantees: Precise pixel alignment, automatic projection consistency, and NoData handling.
Complex mathematical operations on single or multiple layers.
Reassign pixel values based on ranges or remapping tables.
Derive Slope, Aspect, and Hillshade characteristics from DEMs.
NDVI, NDWI, and custom band math for multispectral imagery.
Native support for massive LiDAR and photogrammetry point clouds (PDAL-based). Note: v1 focuses on classification and cleanup. Optimized for processing raw LAZ files up to 50GB without manual tiling.
Intelligent thinning of point density while preserving structural features.
Automatic separation of ground points from non-ground points (CSF Filter).
Compute absolute height of points relative to the ground surface model.
Translate natural language questions into rigorous SQL queries. Ideal for exploring new datasets or complex attribute filtering without writing code.
LLM -> SQL Compiler -> Sandbox
Human-in-the-loop verification required before write ops.
Apply pre-trained computer vision models to satellite and aerial imagery to extract features and detect changes instantly.
Sentinel-2, NAIP, Maxar, User GeoTIFFs
Confidence heatmaps provided for all detections.
Drag & drop files or connect S3/PostGIS. VistaMap automatically indexes geometry and creates vector tiles.
Execute deterministic GIS operations or run AI inference models. Infrastructure scales automatically.
Review AI suggestions, validate topology, and export results to standard formats or direct database write-back.
To ensure maximum reliability for our core engineering users, we have explicitly deferred these complex features for future releases. We focus on static analysis and batch processing first.
Join the engineering teams running their most critical geospatial workloads on VistaMap.
