Empowering AI Through Quality Data Annotation

At LabelCo.AI, we power the future of AI by delivering high-quality, human-verified data annotation at scale and speed across various data to fuel innovation for businesses of all sizes.

A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.
A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.

The Gap We’re Filling

Artificial Intelligence is only as good as the data it’s trained on. Yet, many organizations struggle with:

  • Inconsistent labeling quality

  • High costs of annotation

  • Delays in delivery

  • Lack of contextual or cultural nuance in annotations

At LabelCo.AI, we saw a clear gap: the need for scalable, reliable, and affordable annotation services that combine both precision and speed—without compromising on quality.

Why Us?

We’ve built an army of highly trained annotators in India, strategically positioned to deliver best-in-class services across verticals such as:

  • Computer Vision (image & video annotation)

  • Natural Language Processing (text & sentiment annotation)

  • Voice & Speech Recognition (audio labeling)

  • Content Moderation & Categorization

  • E-commerce Tagging and Product Classification

India’s strong educational foundation, tech-savvy workforce, and cost-effective scalability give us the ability to offer high-accuracy datasets at a fraction of the cost without cutting corners.

Our annotators undergo rigorous training programs that ensure deep understanding of industry-specific needs—from autonomous vehicles to healthcare AI to retail recommendation engines.

Human-in-the-Loop (HITL) Precision

While automation is important, we believe the "human-in-the-loop" model is critical for creating truly ethical, contextually intelligent AI systems. Our QA workflows involve multiple rounds of validation, and our platform supports real-time collaboration between clients and labeling teams.

Why Brands Trust LabelCo.AI

  • 98%+ annotation accuracy

  • Fast turnaround time

  • Custom workflows for every client

  • NDAs, GDPR & HIPAA compliant processes

  • Dedicated QA and project management teams

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"LabelCo.Ai's precision in annotating our complex driving scenarios was unparalleled. Their team's attention to detail significantly improved our model's ability to handle edge cases, accelerating our path to safer autonomous navigation."

Alex Johnson, CTO at DriveTech Innovations

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A metallic robotic hand and a human hand point towards each other at the center. Between them, there is a stylized, crystal-like representation of the letters 'AI'. The background is a gradient of orange shades.

We faced challenges in accurately labeling medical images for our diagnostic tool. LabelCo.AI's expertise ensured high-quality annotations, enhancing our AI's diagnostic accuracy and reliability.

Dr. Priya Mehta, Head of AI Research at MediScan Solutions

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a woman sitting at a desk with a pen in her hand
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