Named Entity Recognition

Our human-powered text annotation empowers enterprises to classify named entities that are present in text into pre-defined categories.

Use Cases

Flexible platform to support all use cases

Tag entities, organizations, locations, dates, times and more with our flexible entity extraction tool.

Classifying Content

Classifying Content

Knowing the relevant tags for each article help in automatically categorizing the articles in defined hierarchies and enable smooth content discovery.

Search Algorithms

Search Algorithms

Match search terms with a small list of entities discussed in each article leading to faster search execution.

Customer Support

Customer Support

Categorize support requests and assign it to the relevant department.

How It Works

We make it easy to start, optimize, and scale

Send text data through our simple API and receive tagged and annotated NLP training data.

"Please highlight all products within this string of text."

client.createNamedEntityRecognitionTask(
  {
    instruction: 'Please highlight all products within this string of text.',
    text: 'I ordered the new Apple Airpods earlier this week and I gotta say they live up to the hype!',
    labels: [
      { name: 'Products' }
    ],
  },
  (err, task) => {


    // do something with task
  }
);
I ordered the new Apple Airpods earlier this week and I gotta say they live up to the hype!
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Integrated with machine learning

We apply machine learning in a multitude of ways to make our workforce more efficient and ensure impeccable quality and accuracy.

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Customer Success Engineering

Each customer is paired with a dedicated customer success engineer who ensures smooth integration and service.

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Built for scale

We process millions of tasks each month and are built to rapidly scale up and down to meet your requirements.

OpenAI threw a bunch of tasks at Scale with difficult characteristics, including tight latency requirements and significant ambiguity in correct answers. In response, Scale worked closely with us to adjust their QA systems to our needs.Geoffrey IrvingGeoffrey IrvingMember of Technical Staff, OpenAI
Ready for enterprise

Custom Annual Plans and SLAs

Get started today with on-demand, or chat with us about an enterprise plan.

Guaranteed Task Completion Time

Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up or down to meet your needs.

24/7 Development Support

Each enterprise customer is paired with a dedicated customer success manager who will ensure smooth integration and continued service.

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Cost Effective

Enterprise engagements include upfront and volume-based discounts, and is the most cost-effective solution for high-quality labels. Plus with Scale, there are no platform fees.

Quality Assurance

Best-In-Class Quality Choice

Industry leading quality datasets safe-guarded against ever-changing, messy data.

Super Human Quality

Our tasks are annotated by trained and qualified workers with additional layers of both human, data and machine learning driven quality control checks.

The resulting accuracy is consistently much higher than what a human or synthetic labeling approach can achieve independently, as measured against rigorous quality areas for each annotation.

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Our Customers

Scale is Trusted by World Class Companies

We already support machine learning for some of the biggest autonomous vehicle and computer vision companies in the world.