Discover why our clients always know more 

Text Analytics & Data Extraction

Text Analytics and Data Extraction

Make accurate risk, compliance and operational decisions based off curated data from any source.

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Intelligent News Surviellance

Intelligent News Surveillance

Identify and prioritize news continuously extracted from thousands of sources.

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Customer Experience & Optimization 

Personalize the customer experience with automated processes and standardized data. 

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Data Quality Management

Data Quality Management

Track - in real time - legal entities, hierarchies, securities and other reference data.

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Enterprise Data

Enterprise Data and Decisions

Discover and manage data that reveals a complete story about your customers, people, products and vendors.

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Independence Compliance

Independence Compliance

Manage independence processes and control financial relationship risks. 

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Delivering intelligent solutions faster so our clients know more.

Solutions are created for the unique needs of each client, supported by more than 40 enterprise data management components of the Kingland Platform. 
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Kingland Makes Top 20 List
Kingland made the list of 20 most promising banking technology solution providers from CIO Review. Learn about the accuracy and efficiency of the platform's text mining and analysis, and the company's work with a large U.S. financial services firm. 

Demo of the Month

Kingland Platform Demo - User, Group and Role Management 

We’ve created a series of product demos that dive into specific enterprise data management requirements and invite you to take a look. These videos show how clients leverage the user, group and role management capabilities to establish the proper level of authorization and access to work with the Platform’s managed data.

Data Management Summit

Data Management Summit 

September 20, 2018 | New York City 

PANEL: Data innovation - Adopting and integrating Analytics, AI and Machine Learning to revolutionize your organization

  • AI & Machine learning: What are the primary use cases for improving efficiency and driving value?
  • What are the biggest challenges to adopting and integrating AI & Machine Learning into data programmes?
  • How do data governance practices need to evolve to take account of emerging technologies in data management?
  • Shifting to the cloud and modernizing data warehouses: integration challenges