Precision Data for Scalable AI Systems

Why Choose Elancer?

At Elancer, we take pride in delivering high-quality data curation and annotation services that power AI, machine learning, and research innovations. Our commitment to accuracy, efficiency, and scalability sets us apart in the industry.

Industry Experience

With 20+ years of combined expertise, we specialize in data curation, labeling, and annotation across diverse industries, including healthcare, automotive, retail, and technology.

Expert Team

Our 800+ skilled annotators are trained to provide precise, high-quality ground truth data, ensuring your AI models perform at their best. We adhere to rigorous quality control measures to meet the highest industry standards.

Global Reach

We are trusted by leading university research labs, Fortune 500 companies, and R&D organizations worldwide. Our ability to scale operations across multiple regions and languages makes us a preferred partner for global AI projects.

800+

Qualified Annotators

100+

Projects Completed

10+

Global Clients

10+

Years Experience

24X7

Availability

Our Team

our team

We have a team of 800+ qualified annotators and taggers who can generate premium quality ground truth data for all types of media (images, videos, audio & text).

Our team is proficient in handling diverse data labeling tasks with precision, consistency, and scalability to support AI and machine learning models. Using advanced annotation tools and multi-tier quality control, we ensure highly accurate datasets tailored to your specific project needs.

2D Bounding Box

Precise object detection and localization for computer vision applications.

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3D Point Cloud

Advanced 3D data annotation for autonomous systems and robotics.

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Data Classification

Structured data labeling and categorization for analytics and AI models.

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Audio Annotation

High-quality audio labeling for speech, sound events, and acoustic AI.

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Semantic Segmentation

Pixel-perfect segmentation for advanced computer vision applications.

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Text Annotation

Comprehensive text labeling for NLP and machine learning models.

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