About LidarFlow

Upload. Validate. Map. Georeference. Download.

LidarFlow exists because there is still a gap between recording robotics data and getting back a mapped output. Visualization tools help inspect the bag. Desktop tools help some teams export frames. This product focuses on the missing SaaS step: rosbag or MCAP in, georeferenced map out.

What the product does

From upload to artifact delivery in one place

Upload. Validate. Map. Georeference. Download. All in your browser.

Structured ingest

LiDAR is required. GNSS and IMU are optional, but the UI makes their presence visible and useful when the data exists.

Production-minded mapping

Runs are tracked, artifacts are downloadable, and every selected setting is visible instead of living in an ad hoc notebook cell.

Clear attribution

LidarFlow builds on serious upstream work and makes that dependence explicit instead of hiding it behind generic platform copy.

Foundations

Built on top of strong mapping and georeferencing projects

FlexCloud

FlexCloud

FlexCloud powers the GNSS-backed georeferencing stage that turns SLAM outputs into geographically meaningful deliverables.

Next step

Want the product story? Read the workflow, then try a recording.