Create a vendor selection project
Click to express your interest in this report
Indication of coverage against your requirements
A subscription is required to activate this feature. Contact us for more info.
Celent have reviewed this profile and believe it to be accurate.
We are waiting for the vendor to publish their solution profile. Contact us or request the RFX.
Projects allow you to export Registered Vendor details and survey responses for analysis outside of Marsh CND. Please refer to the Marsh CND User Guide for detailed instructions.
Download Registered Vendor Survey responses as PDF
Contact vendor directly with specific questions (ie. pricing, capacity, etc)


Datamatics’ TruAI is a comprehensive artificial intelligence and cognitive sciences platform that helps enterprises leverage use cases related to pattern detection, text & data mining, and computer vision. It helps enterprises extract intelligence from high volumes of structured, unstructured, and multi-structured data from diverse sources such as spreadsheets, documents, emails, PDFs, images, video files, audio files, social media, news, transactions, and other data types. This human data interface (HDI) uses various AI components including topic clustering, cognitive capture, sentiment capture, face detection, face match, face search, object classification, object detection, etc. It aggregates data and correlates seemingly unrelated data points to provide the bigger picture. It uses multiple data sources, data lakes, and databases to perform contextual analysis and sequence building.

Key Features

  • Artificial intelligence and machine learning methods for fast information mining with high precision as compared to key-word based or fuzzy searches
  • High-end technologies, such as natural language processing, advanced text analytics, advanced data analytics, stream analytics, for better accuracy and relevancy
  • Document summarisation for culling out key points before further processing as well as archival
  • Real-time search and indexing engine for building a seamless archival-retrieval system
  • Information extraction for mining entity, event, topic models, key phrases, document scrutiny, etc.
  • Alerts to highlight action items which need quick attention
  • Text classification and clustering for seamless grouping of elements and records

Product/Service details