XLScout is a startup engaged in democratizing Innovation and connecting research and development with intellectual property (IP) departments across the world. The company is investing in developing proprietary algorithms, using Artificial Intelligence and Machine learning, to mimic the behaviour of an expert searcher. XLScout focus is on creating a sustainable and adaptive text mining framework that will provide natural Language Processing (NLP)based research outputs for IP in different domains. Various data points have been secured for our solution and they include patent data, litigation data, corporate data, reassignment data, examination data, and other patient-related data. XLScout hosts a data vault of about 130+ million patent documents which occupies approximately 8TB of storage. Document searching, in general ,is a cumbersome process, and specifically, searching the patent-related documents requires advanced strategies that a novice searcher might not be aware of. Therefore, this type of search requires extensive effort and time. The main objective of this project is to automate the patent and non-patent search effectively by allowing machines to understand users’ queries and thus, creating a sustainable and adaptive text mining framework that will provide NLP-based research outputs for IP search in different domains. Furthermore, this project aims to develop scalable solutions for XLScout’s data vault on which the company will run proprietary AI and ML models and generate high-value analytic solutions to help the customers make informed decisions.

Industry Partner(s):XL Scout

Academic Institution:Western University

Academic Researcher: Grolinger, Katarina

Focus Areas: AI, Business Analytics

Platforms: Cloud, GPU