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Discover Intellabel MLOps Solutions for Vision Teams

Intellabel provides state-of-the-art MLOps solutions designed to enhance your AI data pipelines. As a cloud-agnostic platform, it ensures seamless integration into existing ML and cloud stacks, making it ideal for real-world, large-scale computer vision systems. With features like dataset versioning, quality governance, and scalable AI workflow automation, Intellabel empowers teams to focus on innovation while ensuring efficiency and compliance.

AI Data and Annotation Platform

  • Multi-Modal Annotation (Image and Video)

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  • Attribute-rich labeling with validation rules

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  • Built in QA Workflows

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  • Role Based Access and Audit trials

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  • Designed for large scale Enterprise datasets

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Dataset Versioning and Governance

  • Dataset versioning and change history

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  • Data Lineage from raw inputs to trained models

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  • Reproducible dataset snapshots for experiments

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  • Audit logs and compliance ready workflows

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  • Reduces Dataset drift and rework

MLops Orchestration

  • Orchestration of training and evaluation workflows

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  • Experiment tracking and reproducibility

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  • Integration with Existing ML and Cloud stacks

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  • Cloud-agnostic and production ready

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  • Built for real-world, large-scale vision systems

Features

Unified AI Data Platform

Dataset Versioning and Lineage

Built-in Quality and Governance

Scalable AI Workflow Automation

We believe in making AI Data Pipelines reproducible, Auditable and Scalable

About Us

Intellabel is an end-to-end AI Data and MLOps Platform built for modern Computer Vision teams

Our Journey in Numbers

5

Years in AI Industry

40

Clients WorldWide

100

In-house Labeling Team

Get All The Tools You Need
In a Single Platform

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