To identify, classify and extract Applicant details, Class details, Claim details, and Invention details
28 Views
Analyst can leverage this solution to bring efficiency and scalability in their document centric processes. This is an AI packed solution, that loads the patents, and then identify, classify and extract Applicant details, Class details, Claim details, and Invention details from the patent. Analyst can see the incoming document getting auto-classified and the needed information getting extracted in a structured summary. Reviewed AI output can be integrated with your downstream systems.
HUNAN UNIVERSITY OF SCIENCE AND ENGINEERING
Hunan
antimicrobial peptides
drug-resistant bacteria
An antimicrobial peptide capable of inhibiting and killing multiple drug-resistant bacteria
antimicrobial peptides
A61P 31/04 (20060101)
synthesis of resin, synthesis of a peptide chain, Cleavage
PCT/CN2017/109799
Human-prone errors that calls for multi-level reviews
SME-intrinsic manual processes that makes automation questionable
Unique contents in all the documents
Understanding the information to be extracted is difficult
One-stop AI solution for all your data extraction
Easy to verify the information extracted using deep-linking
Verifying the Output with recognized sources
SME effort restricted to AI output review
Identify key terms in the credit agreement like the issuer name, Transaction Date, Covenant Suspension/ Termination, Securities offered, Change of Control, Limitations, Leins etc.,
10 Views
Monitoring websites and extracting project information from Press Releases on IT Sectors Contracts
30 Views
To identify, classify and extract Operating Expenses, Employee Benefit Expense and General Information of a Company from 10-k filing
13 Views
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