Segments Analysis
What is Segments?
Segments.ai launched in 2020 as a segmentation tool for robotics and autonomous driving teams. It now supports 3D point clouds, 2D images, and multi-sensor workflows in one interface, with built-in projection, pre-labeling, and automation features. The company says it is ISO27001 certified, GDPR compliant, EU based, and funded in 2021 by Y Combinator, Merus Capital, and Volta Ventures.
Location
Wilselsesteenweg 22, Leuven, Flemish Region 3000, Belgium
Employees
11-50
Founded
2020
Revenue
<$5M
Product Features & Capabilities
- multi-sensor labeling, 3D point cloud labeling, 2D labeling, model-assisted labeling, data labeling services, data labeling advisory, Python SDK & API, integrations, automated tracking, batch mode, merged point cloud, superpixel segmentation, hover-and-click segmentation, pre-labels
Pricing
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Team Plan: $9,600 per year
- 3,600 hours/yr of labeling usage
- Unlimited seats, projects, images & point clouds
- Unlimited API & SDK access
- Includes image, point cloud, and sequence interfaces, ML-powered labeling tools, cloud bucket integrations, and more.
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Scale Plan: Custom quote per year
- 20,000 hours/yr of labeling usage
- Unlimited seats, projects, images & point clouds
- Unlimited API & SDK access
- Includes all Team functionalities, plus sensor fusion interfaces, extensive integration support, and priority support.
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Enterprise Plan: Custom quote per year
- +150,000 hours/year of labeling usage
- Unlimited seats, projects, images & point clouds
- Unlimited API & SDK access
- Includes all Scale features, plus custom interfaces, custom pipelines, and dedicated solutions ML engineer.
Who are the founders of Segments
Competitors Overview
Segments.ai operates in the data annotation market, particularly for robotics and autonomous vehicles. Its main competitors include:
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V7 Labs:
- Features: Offers a variety of annotation types including bounding boxes, polygons, key points, masks, and 3D cuboids. It utilizes AI-assisted tools for automated labeling, significantly speeding up the annotation process.
- Advantages: V7 can accelerate data annotation by up to 10 times, making it a strong competitor in terms of efficiency and user-friendly interfaces.
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Horizon Robotics:
- Features: Focuses on AI solutions for autonomous driving and robotics, providing tools for data annotation and sensor fusion.
- Advantages: While specific advantages were not detailed in the search results, Horizon Robotics is known for its integration of AI in hardware and software solutions, which may provide a competitive edge in real-time data processing.
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Kognic:
- Features: Specializes in sensor-fusion data annotation, automating tasks to enhance efficiency. Their platform allows for easy switching between camera and LIDAR data, ensuring high-quality datasets.
- Advantages: Kognic emphasizes high-precision quality in annotations and offers tools that streamline the annotation process, reducing manual effort.
These competitors highlight notable differences in their approaches to data annotation, with V7 focusing on speed and automation, Kognic on sensor fusion and quality, and Horizon Robotics on AI integration in robotics.
Market Focus
Segments.ai primarily focuses on the robotics and autonomous vehicle industry, providing solutions for data annotation processes related to 2D and 3D data.
Investors
- Synerleap
- Y Combinator
- Merus Capital
- Vlaanderen verbeelding werkt
- Volta Ventures
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