Contract Discovery and Analytics platform (Computers - Software)

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Item ID 130681669 in Category: Computers - Software

Contract Discovery and Analytics platform

Smart Contract Analytics is a 360-degree contract discovery and analytics platform completely powered by Artificial intelligence and Machine learning. The Platform has ready adaptors to connect to common cloud storages like DropBox, Box, Google Drive, SharePoint cloud, Amazon etc to bring in the contracts and other agreements from multiple distributed repositories to a single repository. With the help of NLP and Machine learning models the Contract Analytics platform can quickly understand and classify the documents into different categories like Master Service Agreements, Non Disclosures, Statement of works, Vendor contracts etc. The Contract Analytics platform also has the capability to scan through all sorts of image based and other unsearchable pdf documents using the powerful OCR technology and extract key meta data from these documents

Here are the key features of the Smart Contract Analytics Platform

1. Global Search with PDF viewer and controls to search

2. Smart Tagging and search with smart tags – when a user wants to put-in their own key words and classify the documents, the tagging helps a lot

3. User file uploads with folder structures and access controls

4. Role based access to documents

5. Unlimited storage to store the documents with our secure Vault hosted on AWS with strong encryption

6. New and improved Analytics dash-boards

7. Variance Analysis of clauses across contracts

8. Extraction of clauses and sub-clauses – user can configure on the fly

9. Comparison of contracts feature that can detect even minute changes in the location of text, commas and semicolons or even bold and italic changes

10. Core NLP engine to extract data even from a noisy scanned document with skewing or illegible images.

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Target State: All States
Target City : Sun valley
Last Update : Feb 24, 2020
Number of Views: 34
Item  Owner  : Ganesh_oscar
Contact Email: (None)
Contact Phone: (None)

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2020-05-25 (0.079 sec)