Your geodata pipelines,
built by AI.
TerraFlow replaces manual FME workflows with AI agents that ingest, transform, and deliver spatial data autonomously. Describe what you need in plain language. The pipeline builds itself.
What the AI handles
Six capabilities that replace weeks of manual pipeline work.
Auto-Format Detection
Drop in Shapefiles, GeoJSON, GeoPackage, KML, GeoTIFF, or any of 50+ spatial formats. TerraFlow identifies and parses them automatically.
Natural Language Pipelines
"Reproject to EPSG:4326, clip to Paris boundary, export as GeoJSON." Speak your transformation. The pipeline assembles itself.
Schema Auto-Mapping
AI maps fields between different schemas, resolving naming mismatches, type conflicts, and encoding issues without manual configuration.
Error Healing
Topology errors, CRS mismatches, invalid geometries. TerraFlow detects issues and applies fixes before they break your pipeline.
Parallel Processing
Cloud-native architecture splits workloads across cores. Large datasets that took hours in legacy tools finish in minutes.
Pipeline Orchestration
Chain transformations, schedule recurring jobs, route outputs to PostGIS, S3, or any downstream system. Fully automated delivery.
$142B
Geospatial analytics market by 2028
400+
Spatial data formats supported
12.6%
Market CAGR growth rate
0
Lines of code to write
Spatial data should flow, not fight.
TerraFlow is built by a GIS engineer who spent years wrestling FME workflows. Every pain point in spatial ETL, from format chaos to CRS nightmares, is a solved problem here.