Patent Research Automation

To identify, classify and extract Applicant details, Class details, Claim details, and Invention details

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Overview

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.

Patent Research Automation

Patent Research Automation
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Taxonomy

Applicant Name

HUNAN UNIVERSITY OF SCIENCE AND ENGINEERING

Applicant City

Hunan

Field of Invention

antimicrobial peptides

Technical Problem

drug-resistant bacteria

Solution to the Problem

An antimicrobial peptide capable of inhibiting and killing multiple drug-resistant bacteria

Field of Invention

antimicrobial peptides

Current International Class

A61P 31/04 (20060101)

Mode of Invention

synthesis of resin, synthesis of a peptide chain, Cleavage

Reference Patent

PCT/CN2017/109799

Result

3x
Efficiency

Comparably High Productivity Margin Achieved

5x
Faster processing

Reduced time of Manual Intervention in training and prediction

99%
Accuracy

High in Accuracy, almost equalling Human Intelligence

3x
Cost Saving

Economising the spending with Bigger ROI

Challenges

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

Benefits

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

See Botminds Platform In Action

Learn how Botminds Intelligent Document Process can drive ROI, reduce costs, and save time for your business.

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