Labelbox
Financials
Estimates*
USD | 2019 | 2020 | 2021 | 2023 |
---|---|---|---|---|
Revenues | 2.1m | 7.6m | 30.2m | 38.0m |
% growth | - | 263 % | 296 % | - |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
$3.9m | Seed | ||
$10.0m | Series A | ||
* | $25.0m | Series B | |
$40.0m | Series C | ||
* | $110m | Series D | |
Total Funding | CAD258m |
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Recent News about Labelbox
EditLabelbox is a startup that specializes in providing advanced data labeling solutions for artificial intelligence (AI) applications. The company offers a suite of AI-enabled tools designed to label various types of data, including images, videos, text, and documents. These tools help businesses create dynamic workflows that route labeling, review, and rework tasks to the appropriate team members, ensuring efficiency and high-quality output.
Labelbox primarily serves clients in industries that require large-scale data labeling for AI model training, such as agriculture, healthcare, automotive, and technology. For example, Blue River Technology, a client in the agriculture sector, uses Labelbox to automate data curation and labeling from over a billion assets, significantly speeding up their computer vision model development.
Operating in the AI and machine learning market, Labelbox's business model revolves around providing software-as-a-service (SaaS). Clients subscribe to their platform to access its data labeling tools and services. Additionally, Labelbox offers "Boost Workforce" services, allowing clients to scale up their labeling capacity by leveraging external labeling teams managed through the platform.
Labelbox generates revenue through subscription fees for its software platform and additional charges for its workforce augmentation services. The company also provides detailed analytics to help clients optimize their labeling processes, further enhancing the value of their subscription.
In summary, Labelbox is dedicated to advancing AI by offering top-tier data labeling solutions that improve the efficiency and quality of AI model training. The company supports a wide range of industries and operates on a SaaS business model, making money through subscriptions and workforce services.
Keywords: AI, data labeling, SaaS, machine learning, workflow automation, analytics, agriculture, computer vision, workforce management, subscription model.