AI-powered knowledge platform for the insurance industry

msg.ask:it - KI-gestützte Wissensbasis für die Versicherungsbranche

msg.ask:it

msg.ask:it is an AI-powered knowledge platform tailored to the content and expertise of the insurance industry.

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WHO'S IT FOR

msg.ask:it optimises knowledge transfer in insurance companies. Using semantic search technology and a powerful language model, msg.ask:it recognises contextual relationships and delivers high-quality, accurate information, even if the search terms used do not appear in the text. The standard software enables context-sensitive searches in large volumes of sources in various formats – from PDF documents to Jira tickets. Depending on the desired scope of services, msg.ask:it also offers deep research functionality and the option of expanding the source base.

WHAT’S IN IT FOR YOU
  • Convenient access to company knowledge regardless of time and place
  • Increased efficiency and quality through optimised knowledge transfer
  • Curated, verified document base
  • Multilingual
  • Improved qualifications within the company
  • Investment and future security through ready-to-use standard software
  • Attractive, usage-based pricing model
GET A GLIMPSE
  • Innovative technology: semantic search and powerful language model
  • Upload function for setting up a private or group workspace with authorisation concept and metadata control
  • In-depth search functions and the option to expand the source base
  • Support for batch queries (question catalogues)
  • Ongoing expansion of the source base (Confluence, web search, source code repositories)
  • Continuous further development in terms of the tools used and the range of functions
  • Regulatory compliant
  • Available as a cloud/SaaS solution – provided as an online application with secure access
WHAT’S IT MADE OUT OF

All components of the application run in containers and are therefore SaaS-compatible and flexible in use. msg.ask:it is provided for each company in its own virtual private cloud (VPC) to ensure strict customer and data separation.