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To provide the best solutions for engineers and data scientists in autonomous robotics.
In today's complex data environment, ensuring data quality and synchronization across different sources is paramount for the development and optimization of machine learning models, particularly in fields like robotics and autonomous vehicles. However, traditional methods are typically time-consuming, prone to errors, and often lack synchronization across modalities.
To tackle this issue, Segments.ai offers a labelling platform equipped with advanced features for multi-sensor data annotation. By enabling users to label across various sensors simultaneously, the platform streamlines the labelling process, minimizes the need for extensive quality checks and corrections, and ensures consistent annotations across time and modalities. Through innovations such as real-time interpolation, ML-powered object tracking, and superpixel-based segmentation, Segments.ai allows users to label data efficiently and accurately, saving valuable time and resources.
As the demand for labelled data continues to surge across industries like robotics, autonomous vehicles, and healthcare, the company's commitment to providing scalable, high-quality labelling solutions positions it for sustained growth and impact. With its emphasis on user-friendly interfaces, seamless integration with popular ML frameworks, and flexibility to accommodate diverse labelling workflows, Segments.ai is well-positioned to remain a trusted partner for machine learning teams worldwide.
Freddie
Company Specialist at Welcome to the Jungle
May 2021
$1.1m
SEED
This company has top investors
Otto Debals
(Co-Founder & CEO)Previously an Associate at McKinsey & Company. Holds a PhD in Signal Processing from KU Leuven. He holds CFA level 1 and is starting to become a coffee aficionado.
Bert De Brabandere
(Co-Founder & CTO)Holds a PhD in Computer Vision from KU Leuven. Passionate about creating excellent products, he previously interned at Google DeepMind, and won the Qualcomm Innovation Fellowship.