Data Labeling as a Service for AI Teams

High-quality image, video, text, and multi-modal annotation delivered by expert teams, powered by Intellabel workflows, QA, and automation.

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Managed data labeling built for production AI

Image annotation

Bounding boxes, polygons, segmentation, keypoints, object tracking, and classification.

Video annotation

Frame-by-frame labeling, object tracking, event tagging, and temporal action detection.

Text Annotation

NER, sentiment, classification, entity linking, intent tagging, and prompt-response evaluation.

Multi-modal labeling

Synchronized annotation across image, video, text, and audio datasets.

QA and Review Operations

Multi-stage quality control with reviewer consensus, validation checks, and accuracy monitoring.

Dataset Engineering

Structured datasets with clear label hierarchies and standardized annotation taxonomies.

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Annotation capabilities

Computer Vision

Bounding boxes

Polygons

Semantic segmentation

Instance segmentation

Keypoints

Pose estimation

Object tracking

Classification

NLP

Named entity recognition

Sentiment analysis

Intent labeling

Topic classification

Text moderation

Instruction tuning data prep

Generative AI

RLHF-style annotation

Prompt-response ranking

Hallucination review

Safety classification

Red teaming datasets

Flexible engagement models

Project-Based Labeling

Ideal for fixed-scope dataset creation.

Dedicated Managed Team

Best for continuous data operations and scaling workloads.

Platform + Service Hybrid

Use Intellabel as our team supports operations, QA, and overflow.

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Production-Ready AI Starts With High-Quality Data

Improve your machine learning models with structured, high-accuracy data annotation services built for scale.

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