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Technology / Named Entity Recognition

Named entity recognition for banks, retail, media, and state institutions.

Identify people, names, organizations, brands, locations, events, and even email addresses with our multilingual entity extraction services.

Exploring huge pools of data searching for one particular thing is hard. Here is how we do it.

1 We get the data.

The first step is always to source the raw data. You can supply us with your own pool of information too.

2 We search and extract predefined entities.

Our models are specifically trained for your needs.

3 You get the entities you are looking for.

Our award-winning human-in-the-loop model ensures the final product is exactly what you need.

Our models can be additionally tailored to your needs. Entities are classified under one of three categories.

  • Person
  • Location
  • Organisation

Accurate named entity extraction in over 10 languages.

Text Sentiment Analysis icon.

Whether you need data understood in English or German, our services are available in 11 different languages and cultures.

  • English
  • German
  • French
  • Spanish
  • Bulgarian
  • Italian
  • Chinese /traditional/
  • Portuguese
  • Russian
  • Swedish
  • Dutch
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Named entity recognition works for banks, media companies, or even e-commerce businesses.

Entity extraction comes to use in banking and finance because of:

  • Ever-stricter KYC
  • Risk & compliance
  • Due diligence

Unstructured data volumes increase exponentially. Keeping track of persons, organisations, and transactions of particular interest becomes a more and more tedious and time-consuming task. We guarantee to eliminate the need for manual research, analysis and information processing of articles. We do it automatically.

To provide the most crucial information for your business, we extract critical facts for banks and other financial services to facilitate:

  • Fraud detection
  • Transaction monitoring
  • Identification of politically exposed or compromised persons and criminals

Our Special Interest Person Finder solution earned us a Stevie award and nominations for the Wealthbriefing and Data Management Review Awards.

The media and publishing industry needs entity extraction and its multiple applications to improve:

  • Efficiency
  • Relevance
  • Relatability

Keep your content neatly organised and easily accessible, increase reading time and boost sales.

We can do the fact-checking efforts for you, identify patterns and trends to facilitate research. We can give you suggestions for future content or interlink related content as well as index archives.

Artificial intelligence (AI) gains momentum in the public sector, too. Government institutions increasingly turn to machine learning and AI-based solutions to handle their vast workloads. Among the most common uses are anti-money laundering and security, whereas we can be of help with the completion of extraction-based tasks such as:

  • Transaction monitoring
  • Identification and verification of special interest persons
  • Identification of cyber events and threats
  • Recognising the involved entities

Our entity extraction solution helps keep governments on track not only with regulatory and security issues but also on maintaining and ordering their own content and resources.

Online purchasing is booming more and more since the pandemic outbreak. In this expanding environment, businesses need to offer a smooth, intuitive experience to customers. To do so, they turn to entity extraction.

With entity extraction, we can help your online business optimise and interconnect its catalogue by classifying products into contextual groups. Thus, you will be able to:

  • Allow better product suggestions
  • Increase search relevancе

A semantic-based search engine that deploys structured data in the form of entities, attributes and relationships is a must for e-commerce websites. This is where we jump in and offer you our entity extraction solution.

Employ named entity recognition today.