
Segments.ai
Deep learning-fueled labeling technology for images and videos with a focus on instance and semantic segmentation on large-scale datasets.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
investor | €0.0 | round | |
* | €1.0m | Seed | |
Total Funding | 000k |
EUR | 2021 | 2022 |
---|---|---|
Revenues | 0000 | 0000 |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Company filings or news article
Related Content
Segments.ai is a technology startup that operates in the data labeling industry, providing a platform for efficient and accurate labeling of point cloud and image data. The company's primary target market includes businesses and organizations that require high-quality labeled data for machine learning and artificial intelligence applications, such as robotics companies and technology firms.
The company's platform allows users to label data from multiple sensors simultaneously, improving the overall quality of the data and reducing the time spent on reconciliation. This streamlined process optimizes model training and enhances the consistency of the labeling workflow. The platform also offers advanced automation features, such as the ability to project labels from 3D sensors to 2D sensors.
Segments.ai's business model is likely based on a software-as-a-service (SaaS) model, where clients pay a subscription fee to access the platform and its features. This includes tools for annotating objects in point clouds, uploading point clouds of unlimited size, and using smart interfaces for labeling. The platform also offers a unique feature that allows users to use 3D data to enrich their 2D labeling efforts, saving time and effort.
In addition, Segments.ai offers machine learning capabilities for auto-annotations of moving objects, speeding up the labeling process while still allowing for manual oversight. This feature further enhances the platform's value proposition, making it a comprehensive solution for businesses in need of efficient and accurate data labeling.
Keywords: Data Labeling, Point Cloud, Image Data, Machine Learning, Artificial Intelligence, Robotics, Technology, SaaS, Automation, 3D Sensors.