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Data Labeler
Cherry Hill Township, United States
B
11-50 Employees
2018
Key takeaway
The company specializes in creating high-quality, customized labeled datasets for machine learning initiatives through its integrated data labeling platform, ensuring consistency, efficiency, accuracy, and speed. With experience in over 200 projects, they provide essential data labeling services that enable companies to focus on their core AI and ML operations.
Reference
Service
Services - Data Labeling Services | Data Annotations | AI and ML
Lodestar
San Jose, United States
B
11-50 Employees
2019
Key takeaway
Lodestar offers native video labeling tools that enable the creation of high-quality datasets through active learning, facilitating rapid development of computer vision models. Their integrated data science platform supports annotation, experimentation, and collaboration, making it a comprehensive solution for data labeling projects.
Reference
Core business
Data annotation platform for computer vision - Lodestar
Real-time active learning data labeling platform. Hours of video annotation, AI model training, dataset management, integrated Jupyter, HITL, and more. Unlimited labels.
Liberty Source
Hampton, United States
B
101-250 Employees
2014
Key takeaway
The company offers a comprehensive suite of data labeling services, including image and video labeling, text annotation, and NLP calibration, designed to transform unstructured data into valuable assets for advanced technologies. With a focus on data security and accuracy, they cater to sectors like manufacturing that are leveraging AI and machine learning.
Reference
Service
DDD Machine Learning Services | Liberty Source
For organizations that do not have raw data upon which to build training data we provide Data Creation Services. Organizations that have raw data that is not ready for annotation can count on our Data Curation Services to clean up and standardize their datasets. And, of course, we provide labeli
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Datasaur
Sunnyvale, United States
B
1-10 Employees
2019
Key takeaway
Datasaur highlights the significance of data labeling in NLP projects, noting it accounts for 65% of the project's time. Their platform enhances the speed and accuracy of data labeling through customization, automation, and quality controls, ultimately reducing errors and accelerating the NLP project lifecycle.
Reference
Core business
The Best Text and Audio Data Labeling Tool | Datasaur
Datasaur is the leading NLP data-labeling platform, driving 10X quicker project times and improving model performance by 2X.
Alectio
United States
B
11-50 Employees
2019
Key takeaway
Alectio emphasizes the importance of data labeling as a critical step in preparing datasets. Their Smart Labeling Solutions help identify the most informative records, reducing labeling costs and training times, ultimately enhancing model performance.
Reference
Product
Smart Labeling Solutions - Alectio the DataPrepOps company
Data Labeling is arguably one of the most critical steps when preparing a dataset. Labeling doesn’t have to be hard: introducing our Smart Labeling Solutions.
Annotation Labs
Dallas, United States
B
11-50 Employees
2021
Key takeaway
The company offers expert in-house data labeling services that provide cost-efficient annotation to create high-quality training datasets for computer vision and machine learning. Their commitment to secure and accurate data annotation has helped over 20 AI companies achieve their automation goals through successful projects and innovative tools.
Reference
Core business
Top Data Labeling Services & Data Annotation Services | AL
3x Faster, 97% Accuracy - Best among Data Annotation & Labeling Companies. Trusted by leading Computer Vision & AI startups in USA, UK & EU.
Wovenware
San Juan, United States
B
51-100 Employees
2003
Key takeaway
Wovenware offers high-quality data labeling services through a private team of in-house specialists, ensuring expert classification while maintaining data privacy. Their commitment to confidentiality is reinforced by NDAs, making them a reliable partner for companies seeking effective data labeling solutions.
Reference
Service
High Quality Data Labeling Services - Wovenware
Since data privacy is a real concern, Wovenware has a private crowd of in-house data specialists who are experts at labeling objects or data.
Labelbox
San Francisco, United States
B
101-250 Employees
2017
Key takeaway
Labelbox offers a powerful image annotation tool that enables efficient data labeling through customizable tasks and automation. Their platform is designed to enhance the labeling process, making it faster and more effective for projects of all sizes.
Reference
Product
Image Annotation & Labeling Tool | Labelbox
Unlocks the true value of your image data with our powerful image annotation tool. Configure our tool and create better labels in minutes. Start for free.
CapeStart
Cambridge, United States
B
11-50 Employees
2013
Key takeaway
CapeStart offers specialized data labeling services as part of its comprehensive AI solutions, ensuring expertly prepared and annotated datasets for various industries, including healthcare. Their experienced team streamlines the data preparation process, effectively eliminating bottlenecks in training data collection and labeling.
Reference
Service
Data Preparation and Data Labeling Services - CapeStart
CapeStart’s integrated team of data preparation experts provide perfectly prepared, labeled, annotated or otherwise enriched datasets for healthcare.
Cogito Tech LLC
Levittown, United States
B
501-1000 Employees
2006
Key takeaway
Cogito is a leading data labeling and annotation company, specializing in providing accurately annotated data essential for training machine learning models. With over a decade of experience, Cogito simplifies the data labeling process, ensuring clients receive high-quality training data to enhance their AI initiatives.
Reference
Core business
Data Labeling and Annotation Company | Cogito
Data labeling and annotation outsourcing company to help you with on-point AI training data to achieve desired functionality out of your ML model.
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Service
Data Annotation
Go to product
When exploring the Data Labeling industry in the United States, several key considerations come into play. First, understanding the regulatory landscape is crucial, as compliance with data protection laws such as the GDPR and CCPA affects how companies handle and process data. The industry faces challenges like maintaining high-quality annotations and managing large datasets efficiently, which are essential for training AI models effectively. Opportunities exist in sectors such as healthcare, finance, and autonomous vehicles, where accurate data labeling is vital for innovation. The competitive landscape is marked by a mix of established firms and startups, leading to a dynamic environment where quality and speed can differentiate service providers. Additionally, environmental concerns related to data center operations and energy consumption are becoming more prominent, prompting companies to adopt sustainable practices. Lastly, the global market relevance of data labeling is significant, as businesses increasingly seek to leverage AI technologies across borders, requiring reliable data labeling solutions to ensure accuracy and compliance in diverse markets.
Some interesting numbers and facts about your company results for Data Labeling
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 1905 |
| Amount of suitable service providers | 1932 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2003 |
| Youngest suiting company | 2021 |
Some interesting questions that has been asked about the results you have just received for Data Labeling
What are related technologies to Data Labeling?
Based on our calculations related technologies to Data Labeling are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Data Labeling?
Start-Ups who are working in Data Labeling are Annotation Labs
Which industries are mostly working on Data Labeling?
The most represented industries which are working in Data Labeling are IT, Software and Services, Marketing Services, Other, Printing, Consulting
How does ensun find these Data Labeling Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
