GeosysAI - 2026 Pricing, Features, Reviews & Alternatives

GeosysAI is a cloud-based, browser-based geospatial analytics platform designed for GIS professionals and spatial data teams across construction, mining, agriculture, infrastructure, and utility sectors. Users upload and visualize vector formats (Shapefile, GeoJSON, GeoPackage), raster data (GeoTIFF), LiDAR point clouds (LAS/LAZ), 3D models (OBJ, glTF), orthophotos, satellite imagery, and street-level imagery within a single unified environment, with no desktop GIS software installation required. Spatial analysis is initiated through plain-language prompts, with the platform interpreting requests, executing analysis, and returning ready-to-use interactive map layers directly in the browser.

GeosysAI includes GeoAgent, an agentic workflow engine that clarifies requirements before execution, constructs visible and editable step-by-step pipelines covering data sourcing, spatial joins, calculations, and classification, and supports saving and reusing workflows across projects. All automation is fully transparent and editable, with no black-box processing. The platform also provides 2D map and 3D viewer modes, a LiDAR point cloud viewer, draw and measure tools, attribute table filtering, instant slash commands, and team permissions management. Client-facing deliverables are published as interactive browser-based portals requiring no software installs or end-user training.

GeosysAI is available under a single subscription covering all supported data types with no per-seat viewer fees, replacing multi-tool desktop GIS toolchains with one consolidated platform. A white-label deployment option allows teams to deliver the platform under a custom logo, domain, and color scheme, supporting branded client portals and data products. Computer vision applied to satellite imagery, LiDAR, and drone data extracts actionable insights for use cases including road intelligence, highway asset management, impervious surface mapping, mining operations, water utility analysis, property risk assessment, and sugarcane agriculture monitoring.