CASE STUDY: A LARGE SEMICONDUCTOR COMPANY
PROBLEM STATEMENT
A large-scale semiconductor company aimed to collate all the technologies relevant to their industry. However, in spite of using suitable keywords and additional search fields from other tools, they found the process challenging. The keywords, classification codes, or semantic searches couldn’t reach the expected level of accuracy or weed out unrelated patents from the results. Since it was important to get the job done, they hired some experts to read through and arrange recently published documents. But the exercise took a toll on their finances.
NEXT STEPS
The IP management team heard about the AI Classifier tool from Relecura and wanted to find out more about its functionality. The tool requires a few documents for each technical area and gives a large number of AI Classification models to choose from to get the desired level of recall and precision. The team decided to give it a shot and check the outcome.
RESULTS
Once the classification was over, the management team found it easy to process documents the company owned and those from their competitors and figure out how they were linked to different technical areas.
WHY RELECURA?
As always, saving time and money is of utmost importance for all companies, and this company was no exception. It was the brilliance of the AI Classifier that used its three-step process to categorize a host of patent documents with the help of AI, ML, and NLP algorithms. So, Relecura’s product helped them meet their requirements within a much shorter time without the cost of additional manpower.
