Process in minutes
what takes hours

GPU-accelerated point cloud engine for classification, filtering, and DTM generation. Handle billion-point datasets without downsampling or overnight batch jobs.

GPU
orders of magnitude faster
1B+
points per dataset
LAS/LAZ/E57
native format support
CPU Pipeline (PDAL/LAStools)
DevFlow GPU Engine
Ground classification (large dataset)
Hours
Ground classification (large dataset)
Minutes
Noise removal + filtering
Hours
Noise removal + filtering
Minutes
DTM generation
30+ minutes
DTM generation
Seconds

Batch Processing API

Feed hundreds of datasets into an automated pipeline. Same classification, filtering, and output — every time. No manual intervention needed.

Ground Classification

GPU-accelerated progressive morphological filtering. Handles complex terrain, steep slopes, and dense vegetation where CPU classifiers struggle.

No Downsampling Required

Process full-density point clouds without thinning. Billion-point datasets load and process entirely in GPU memory.

Self-Hosted

Runs on your hardware or cloud GPU instance. Your survey data stays on your infrastructure. No upload, no per-dataset charges.

Pricing
$1,500 per seat per year
Every seat gets the full engine. No feature gating.

Volume discounts available.

Get Early Access

Sign up for early access and be first to trial the engine.