Segments.ai
Multi-sensor data labeling platform for robotics & AV

Segments.ai is a data labeling platform designed for machine learning teams working with robotics and autonomous vehicle data. It enables simultaneous annotation of 3D point clouds and 2D images across multiple sensors, with tools like batch mode, merged point cloud, and AI-assisted auto-labeling. The platform integrates a Python SDK and supports workflows from proof-of-concept through production-scale annotation.
The platform lets users annotate 3D point clouds and 2D images simultaneously, projecting cuboids across sensors and frames, with AI-assisted tools to automate and speed up labeling workflows.
Machine learning engineers and computer vision teams at robotics and autonomous vehicle companies
Background.
- Status
- launched
- Business model
- freemium
Founders
- Tom Staelens
Similar projects.
Editorial take on the space this project sits in — momentum signals, adjacent moves, our call on whether the wedge is real. Get pinged when we publish a new read or when the landscape shifts.
Have a take on this space?
Tell us what you’d build differently, where you think the incumbents miss, or what we’ve gotten wrong about this project. Comments + reactions are coming soon.