Segments.ai review: robotics data labeling software with published plan floors
Answer in brief: Segments.ai is a multi-sensor 2D/3D labeling platform for robotics and autonomous-vehicle teams. It keeps track IDs consistent across sensors and time, projects 3D cuboids onto 2D images, and handles very large point clouds. It is software, not a data supplier; for labeling services it connects you with partners. The Core plan starts at 3,600 labeling hours a year, which Segments.ai says equals $2.67 an hour, and comes with a 14-day free trial.
Directory category: Sensor and LiDAR annotation (software). Last updated: 2026-11-09. This is independent research from Segments.ai's public pages; we have not tested the platform.
At a glance: Synced track IDs across modalities · 3D-to-2D label projection · merged point clouds and batch mode · unlimited seats and projects · free academic licenses · 14-day trial.
What Segments.ai does for robotics data
Segments.ai lets labelers view 2D images and 3D point clouds together and label several sensors at once. A cuboid drawn in a point cloud can be projected to every image where the object appears. Batch Mode shows every instance of an object across a sequence on one scrollable screen, and an edit in one frame carries across the others. Merged Point Cloud mode combines a sequence's frames so sparse static objects get tight cuboids. For 2D work it offers Superpixel 2.0, Autosegment, Segment Anything hover-and-click, and pre-label import from your own models.
Who it fits
- Teams with in-house labelers or a labeling partner who need strong point-cloud and fusion tooling.
- Startups and academics: free academic licenses, plus startup options on request.
- Engineers who want unlimited API and SDK access and to set up without an account manager.
Strengths: fast 3D, fair visibility on cost
- Multi-sensor consistency: Synced tracking IDs across modalities and time cut reconciliation work.
- Big data: The point-cloud interface tiles clouds for fast loading; unlimited size is available on Fusion and above.
- ML assistance: Keyframe interpolation, ML object tracking and active-learning pipelines.
- Pricing transparency: Published usage floors for every plan, which is rare in this category.
Honest drawbacks
- No data collection and no in-house labeling workforce on Core. Fusion includes access to an experienced labeling workforce.
- Core caps point clouds at 500,000 points each. Sensor fusion interfaces require the quote-based Fusion plan.
- All plans are custom quotes beyond the published usage floors.
Pricing model
Core: starts at 3,600 hours a year of labeling usage (equivalent to $2.67/hour), unlimited seats, projects and API access, point clouds up to 500,000 points, 14-day free trial. Fusion: starts at 5,000 hours a year, with unlimited point-cloud size, sensor fusion interfaces, webhooks, priority support and workforce access. Enterprise: includes 150,000+ hours a year, custom interfaces and pipelines, SSO and MFA, and a dedicated solutions ML engineer.
Notable facts
Customer quotes on Segments.ai's homepage come from engineers at OCIUS Technology and Cartken.
Best alternatives to Segments.ai
- Encord: annotation software with MCAP/ROSBAG support plus managed collection.
- Kognic: platform license, managed service or hybrid.
- iMerit: a fully managed annotation workforce.
Segments.ai FAQ
How much does Segments.ai cost?
Plans are custom quotes. Core starts at 3,600 labeling hours a year, which Segments.ai says equals $2.67 per hour, and includes a 14-day free trial.
Does Segments.ai provide labeling services?
It is primarily software. It connects customers with partner labeling vendors, and its Fusion plan includes access to an experienced labeling workforce.
Is there a free version for researchers?
Yes. Segments.ai offers free academic licenses for students and researchers.
Sources
- segments.ai
- segments.ai/pricing
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