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Segments.ai

Category: Computer Vision

A multi-sensor data labeling and annotation platform designed for computer vision applications. Segments.ai was founded in 2021. The company is led by Otto Debals. Based in Leuven, Belgium. Team size: 10-50. Total funding raised: $1.34M. Latest round: Seed. Key investors include Y Combinator, Merus Capital, Volta Ventures.

Founded
2021
Headquarters
Leuven, Belgium
Team size
10-50
Total funding
$1.34M

Value proposition

To accelerate the development of computer vision models by providing a fast, efficient, and accurate platform for data labeling and annotation, significantly reducing the time and cost associated with preparing training data.

Products and solutions

Multi-sensor labeling platform (2D and 3D), Model-assisted labeling, Real-time interpolation, Active learning integration, Python SDK

Unique value

Segments.ai's key differentiator is its multi-sensor labeling capability, which allows users to label both 2D and 3D sensor data (like LiDAR and camera images) in a single, synchronized interface. This, combined with an intuitive and efficient UI, sets it apart from other data labeling tools.

Target customer

Machine learning engineers and teams in the robotics and autonomous vehicle industries.

Industries served

Robotics, Autonomous Driving, Automotive, Drones, Agriculture

Technology advantage

The company's core advantage lies in its proprietary AI-powered labeling technology that automates and accelerates the annotation process. Features like model-assisted labeling and active learning integration allow for a human-in-the-loop workflow, where machine learning models assist human annotators to improve efficiency and accuracy.

How they differentiate

Segments.ai specializes in multi-sensor data labeling for the robotics and autonomous vehicle industries, offering a platform that can handle complex datasets from various sensors like cameras and LiDAR. Their deep learning-fueled technology is designed for instance and semantic segmentation on large-scale datasets, which is critical for training computer vision models in their target sectors.

Main competitors

Kili Technology, Supervisely, AIMMO

Key partnerships

Acquired by Uber to integrate into their internal data labeling and machine learning infrastructure., Y Combinator (W21 batch), which provided initial funding and mentorship.

Notable customers

Uber (Acquirer)

Major milestones

Acquired by Uber., Graduated from Y Combinator (W21 batch)., ISO 27001 certified and GDPR compliant.

Growth metrics

Reached $1.2M in revenue in June 2024 with a 10-person team.

Market positioning

Segments.ai is positioned as a specialized, high-quality data labeling platform for high-growth technology sectors, particularly autonomous driving and robotics. Their acquisition by Uber solidifies their position as a key player in the autonomous vehicle development ecosystem.

Geographic focus

While Segments.ai is based in Leuven, Belgium, their focus is global, with a strong presence in North America and Europe, evidenced by their acquisition by the US-based company Uber and their participation in the US-based Y Combinator accelerator.

Patents and IP

No public patents found. The company likely protects its technology as a trade secret.

About Otto Debals

Otto Debals completed his PhD in Electrical Engineering at KU Leuven, focusing on deep learning and computer vision for autonomous driving. He also gained experience as a visiting researcher at the University of California, Berkeley, and worked on machine learning applications at Ford Greenfield Labs.

Official website: