Performing Accurate & Budget-Friendly Patent Landscapes using Explainable AI
AI has made analysing large amounts of technology easy and resource-efficient. XLSCOUT’s explainable AI-based tool helps you create multi-level manual taxonomies for categorising the patents with a validated accuracy of 95%. It can automatically categorize and analyse data without any hassle.
>> How to conduct a quick and detailed patent Landscape
>> How to create your own multi-level taxonomies using explainable AI
>> How to generate various technology insights & reports using AI
25 May 2022
2:30 am IST
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Chief Marketing Officer | XLSCOUT
Pranav Sharma is currently working as a Chief Marketing Officer at XLSCOUT. He has significant experience in assisting clients to take decisions in R&D, Competitor benchmarking, go-to-market strategy, idea generation, and implementing solutions using the best AI technologies in the market.
Founder | XLSCOUT
Founder and director of a leading Intellectual Property and technology consulting firm – TT Consultants and XLSCOUT. She has been selected as a task force member on AI by the Ministry of Commerce and Industry, GOI. She is also a member of the Core Group for Start-up Ecosystem in the State of Punjab.
XLSCOUT engineered data with best-in-class Artificial Intelligence (AI) technologies to develop the most accurate, comprehensive, and intelligent patent & research publication database. Using Natural Language Processing (NLP), Machine Learning (ML), and Innovation/Scientific Principles, XLSCOUT gives you more time and reliable insights to confidently make data-driven strategic decisions.