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Named Entity Recognition Services

Reliable, training-ready data for ML teams—delivered with clarity and control.

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Fully managed NER workflow — ready to launch, easy to scale
Private from the start — protected by strict NDAs
Adaptable annotation team for changing specifications

What is NER?

Named Entity Recognition (NER) is a core task in Natural Language Processing (NLP) that identifies and classifies entities—such as person names, organizations, locations, and dates—within unstructured text.

To do this well, models must first learn from reliable training data that reflects real-world language, custom entity types, and tagging logic. That’s why high-quality human annotation is essential for reliable NER results.

Accurate Entity Annotation is Hard — We De-Risk It

We help ML teams without internal annotation capacity turn unstructured data into training-ready NER outputs with our named entity recognition services —even for niche domains and shifting specs.

Without the right partner, it’s risky

  • No internal annotation team and no capacity to build one
  • Confusion around edge cases and inconsistent guidelines
  • Risks of exposing sensitive data to untrusted vendors
  • No stable workflow for shifting specs and evolving needs

With us, it’s under control:

  • Trained annotation team with NER expertise—ready to launch fast
  • Ensuring clarity, consistency, and high accuracy across tasks by team leads
  • Confidentiality by default—NDA-backed, secured for enterprise data
  • Proven annotation process—built to scale, designed to adapt
Get Your Custom NER Pilot

Types of Data We Work With

Not all data comes in clean, structured formats. We handle unstructured data from real-world sources — no matter the format.

We support formats such as:

  • Chat transcripts
  • Web-scraped content (HTML, JSON)
  • OCR’d PDFs and screenshots
  • Poorly formatted docs
  • CSVs, JSON exports, and more

Whether it’s raw input or domain-specific content, we prepare it for reliable entity extraction at scale.

Why Leading Teams Trust Us with Complex NER Projects

The Value We Bring as a Human Annotation Partner for Named Entity Recognition

Expert human annotation for reliable entity data

  • Accurate labeling you can trust
  • Handling complex, niche entity types
  • Clear, well-organized entity data

Streamlined onboarding for faster team readiness

  • Data matched to your model
  • Faster results with expert annotators
  • Workflows made simple

Expert-led project setup that avoids costly trial and error

  • Expert guidance on task design & edge cases
  • Clear success criteria
  • No costly guesswork before start

Proven experience across entity-rich tasks

  • Deep expertise in data quality
  • Trusted partner with proven experience
  • Confidence in every launch
Ready for accurate, reliable entity recognition? Let’s connect!
Request a quote

Software & Methodology

Full-stack NER annotation service, fully compatible with top NER tools like Label Studio and CVAT.

Label Studio

Label Studio is a flexible, open-source annotation platform with strong support for Named Entity Recognition (NER). It’s ideal for custom workflows and secure, self-hosted deployments.

CVAT

CVAT is a powerful annotation tool built for scalability and team collaboration. Though known for visual data, it offers full support for NER and text-based annotation via task extensions.

Use-cases

Legal Tech

NER models identify custom entity types like medications, diagnoses, and treatments in unstructured texts—supporting research, compliance, and NLP applications.

Healthcare & Pharma

NER models extract custom entity types like medications, diagnoses, and treatments in unstructured texts—supporting research, compliance, and NLP applications by identifying key medical concepts.

Finance

Institutions apply NER systems to extract company names, people, and values from filings and earnings calls—improving information extraction through entity linking between sources.

Customer Support

Support teams use NER to extract key terms and tag people, product issues, and specific categories — powering faster routing, text classification, and insights.

E-commerce

Retailers extract product names and brands from listings and reviews. NER categorizes key information to boost search, organize results, and train custom models.

Media Monitoring

PR teams run entity extraction on news and social media to track named entities like locations, people, and companies—fueling reputation tracking and early detection systems.

Government
& Public Sector

Public agencies extract relevant information from documents, complaints, and reports—improving workflows with entity recognition and labelled data.

Academic & Research

Researchers build labelled training data to train models that identify specific entity types in scholarly texts—powering NER tasks across disciplines.

How It Works: Our Process

A Clear, Controlled Workflow From Brief to Delivery

Your Sentiment Annotation Questions Answered

What types of entity schemas can you support?
We support custom entity types, nested structures, and domain-specific entity classification for any NER system
How fast can you deliver training data for our model?
Most projects start within days. We deliver clean, labelled data aligned with your NER tasks and model input format.
Can we make changes to the annotation logic mid-project?
Yes. We support evolving entity recognition specs with version control and edge case traceability.
Is our unstructured data secure and under NDA?
Absolutely. All text documents and extraction tasks are processed under NDA with full encryption and access controls.
Request a Custom Pilot

Why Choose Us

Unidata offers unparalleled expertise in AI data solutions, delivering superior data quality and optimized workflows

Expertise

Our team consists of industry-leading experts in AI data solutions

Quality

We ensure superior data quality to maximize your AI project's potential

Efficiency

Our optimized workflows accelerate your model training processes

Proven Results

Our track record of case studies demonstrates our ability to deliver outstanding outcomes

Customization

Our track record of case studies demonstrates our ability to deliver outstanding outcomes

Support

We provide ongoing support and consultation to ensure continuous success
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team
1000 +
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What our clients are saying

UniData

4 3 Reviews

PA

Paul 2025-02-21

Very Positive Experience!

The team was very responsive when requesting a specific dataset, and was able to work with us on what data we specifically needed and custom pricing for our use case. Overall a great experience, and would recommend them to others!

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TH

Thorsten 2025-01-09

Very good experience

We got in touch with UniData to buy several datasets from them. Communication was very cooperative, quick, and friendly. We were able to find contract conditions that suited both parties well. I also appreciate the team's dedication to understand and address the needs of the customer. And the datasets we bought from UniData matched with our expectations.

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Max Crous 2024-10-08

Data purchase

Our team got in touch with UniData for purchasing video data. The team at UniData was transparent, timely, and pleasant to communicate and negotiate with. Their samples and descriptions aligned well with the data we received. We will certainly reach out to UniData again if we're in search of 3rd party video data.

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Abhijeet Zilpelwar 2025-02-26

Data is well organized and easy to…

Data is well organized and easy to consume. We could download and use it for training within few hours of receiving the data links.

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