Label Your Data – Data Annotation & Labeling logo — Data annotation & labeling for Computer Vision, NLP & LLMs....

Label Your Data – Data Annotation & Labeling

Data annotation & labeling for Computer Vision, NLP & LLMs. Bringing high quality performance for ML teams & datasets.

Founded 2020 United States Wilmington, United States 323 employees AI, Computer Vision +1

General Information

Company Name Label Your Data – Data Annotation & Labeling
Founded Year 2020
Location United States Wilmington, United States
Employees 323
Industries AI, Computer Vision, Machine Learning
Business Model B2B, SaaS, On Demand
Revenue Model Usage Based, Project Based, Service Fee
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About Label Your Data – Data Annotation & Labeling

Label Your Data – Data Annotation & Labeling, founded in 2020, is making strides in the AI, Computer Vision, and Machine Learning industries. Operating from their headquarters in the United States, the company has established itself as a significant player by providing comprehensive data annotation and labeling services.

The company's offerings extend across various domains, aiding Computer Vision, Natural Language Processing (NLP), and LLM projects by alleviating the burden of dataset labeling from Data Scientists and ML Engineers. With specialties ranging from image and video annotation to text and audio annotation, Label Your Data delivers high precision data processing necessary for cutting-edge AI applications.

Key benefits include a vast team of over 1000 annotation experts worldwide, a stellar 98%+ annotation accuracy, and compliance with industry-leading data security certifications. The company supports 55 languages and offers flexible, commitment-free pricing models, making it a competitive choice for firms across 20 industries.

Business keywords: Data Annotation, Computer Vision, Natural Language Processing (NLP), Audio Annotation, Image Annotation, Video Annotation, Bounding Box Annotation, Semantic Segmentation, LLM Fine-tuning, Sentiment Analysis, Model Validation, Object Detection, Point Cloud Annotation, Data Security Compliance

Services & Products

Data Labeling
LLM Fine Tuning
Content Moderation
Data Collection
Data Generation

Target Customers

ML Engineers AI Business Executives Product Managers Academic Researchers Technology & Innovation Firms

No funding data available for Label Your Data – Data Annotation & Labeling yet.

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FAQ About Label Your Data – Data Annotation & Labeling

Data annotation & labeling for Computer Vision, NLP & LLMs. Bringing high quality performance for ML teams & datasets.
Label Your Data – Data Annotation & Labeling was founded in 2020.
Label Your Data – Data Annotation & Labeling is headquartered in Wilmington, United States.
Label Your Data – Data Annotation & Labeling operates in AI, Computer Vision and Machine Learning. Its work centres on Data Annotation, Computer Vision, Natural Language Processing (NLP) and Audio Annotation. Its customers include ML Engineers, AI Business Executives and Product Managers.
Label Your Data – Data Annotation & Labeling has a B2B, SaaS and On Demand business model. Its revenue comes from Usage Based, Project Based and Service Fee.
Label Your Data – Data Annotation & Labeling has approximately 323 employees.
Label Your Data – Data Annotation & Labeling offers: Data Labeling, LLM Fine Tuning, Content Moderation, Data Collection, Data Generation.
Top alternatives and competitors to Label Your Data – Data Annotation & Labeling include Wisepl, AnoLytics, Indika AI, Epinote, Hasty.ai. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
Label Your Data – Data Annotation & Labeling and Wisepl are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for Label Your Data – Data Annotation & Labeling, https://bouncewatch.com/company/label-your-data-data-annotation-labeling, updated 4 April 2026. When citing, please name BounceWatch and link this page.

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