#38 in AI Development PlatformsUpdated 2026-08

Segments.ai

by Segments.ai · Multi-sensor labelling platform for robotics and automotive data

41.4 — BenchRank score out of 100

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Overview

Segments.ai is a data labelling platform for image and point cloud data. Labellers annotate multiple sensors in one task, projecting cuboids from 3D point clouds onto the images where an object appears and keeping track IDs consistent across modalities and frames. ML-assisted tools cover segmentation, bounding boxes, polygons and keypoints, with a Python SDK and API for integration.

Best for: Machine learning teams labelling robotics and AV sensor data across 3D point clouds and images.
Pricing: Core is $9,600 per year including 3,600 labelling hours (stated as $2.67/hour), while Fusion and Enterprise are custom quotes; a 14-day free trial and free academic licences are offered.

Strengths and trade-offs

Strengths

Label 3D point clouds and 2D images together with shared track IDs
Project a 3D cuboid onto every image the object appears in
Python SDK, API keys and cloud bucket integrations on all plans
Unlimited seats, projects and datasets on every published plan

Trade-offs

Cheapest published plan is $9,600 a year; no monthly or per-seat option
Core caps point clouds at 500,000 points; unlimited size needs Fusion
Fusion and Enterprise prices are quote-only
Webhooks, priority support and metrics dashboard are Fusion and above

Pricing

Published plans from Segments.ai’s own pricing page, in USD. Usage charges and add-ons may apply on top.

Segments.ai pricing tiers, monthly and annual rates in USD
Plan	Monthly	Annual (per month)	Includes
Core	—per year, unlimited seats	$800	$9,600/yr from 3,600 labelling hours ($2.67/hour) Image, point cloud and sequence interfaces Point clouds up to 500,000 points each Cloud bucket integrations, unlimited API and SDK access
Fusion	Contact sales	—	Starts at 5,000 labelling hours per year Sensor fusion interfaces, unlimited point cloud size Webhooks, metrics dashboard, priority support Access to an experienced labelling workforce
Enterprise	Contact sales	—	Includes over 150,000 labelling hours per year Custom interfaces, pipelines and workflows SSO and MFA, custom security and procurement Dedicated solutions ML engineer

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support: 80 out of 100
API quality: 20 out of 100
Documentation: 70 out of 100
Agent friendliness: 18 out of 100
Changelog: 0 out of 100
Marketing site structure: 60 out of 100
Operational trust: 0 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness: 0 out of 100

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