Using Eigen’s NLP platform, you can automate and accelerate the analysis of your documents to identify the appropriate remediation actions required. Enabling you to free up time to focus your efforts on repapering, renegotiating and communicating with the impacted parties.
Think you know someone who would like this? Share this page
Eigen's platform helps you scale-up the process of identifying contracts that are impacted by the LIBOR transition and require remediation.
By using machine learning to process your documents, you can quickly identify the type of remediation needed such as repapering, renegotiating or wind-down.
Eigen automates the document review processes of the LIBOR transition effort, vastly reducing the time it takes to determine the necessary next steps.
You can get up and running immediately with our easy-to-use interface, Eigen Hosted Cloud and the support of our Client Success team.
By submitting this form, you consent to be contacted by a member of our team by email or phone. You can unsubscribe from our communications at any time via the unsubscribe option in the email received. For more information on how Eigen Technologies uses your data, please refer to our Privacy Policy.
Eigen enables clients to focus their time on making faster, more informed decisions, instead of analyzing pages of documents.
Below are just a few of the use cases Eigen can help your business tackle.
Quickly identify key facts about CLO tranches that enable you to build risk and return profiles without reading 400+ pages yourself.
Systematically verify that assets meet the portfolio-level criteria to qualify for Solvency II with minimal expert involvement.
Automatically identify governing law, cross default rights, and restrictions on the transfer of credit to ensure compliance.
Automatically verify terms to speed up negotiations and ensure finalized drafts reflect the individual terms prior to signing.
Reconcile data of back book across multiple systems and create a single source of truth for the entire loan life-cycle.
Users upload a handful of documents and label the relevant data fields for extraction. Eigen uses this information to build a machine learning model.
The model then analyzes all contracts to retrieve the correct data points. The extracted data can be exported or sent to other systems via APIs.
© All rights reserved