[vc_row][vc_column][vc_custom_heading text=”Problem & Context:” font_container=”tag:h5|text_align:left” use_theme_fonts=”yes”][vc_empty_space height=”10px”][vc_column_text]A global consumer products company was interested to learn about materials that are used in valves , especially aerosol valves, that are made of plastics. The client wanted SciTech Patent Art to explore and prepare a report on type of valve materials that were being studied globally.[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_custom_heading text=”SciTech Patent Art Approach & Deliverables:” font_container=”tag:h5|text_align:left” use_theme_fonts=”yes”][vc_empty_space height=”10px”][vc_column_text]
- The SPA team conducted a patent search and identified more than 5000 relevant records.
- SPA developed a ML/AI tool to analyze 5000 records would have been a very time intensive task.
- A 3-member SPA team trained the AI/ML tool.
- Subsequently, SPA team used this trained model to categorize a sample patent data-set. This data-set formed the core for further training of the AI/ML tool.
- The above Step was iterated several times to improve the accuracy of the output.
- The AI/ML model was thus made ready following which the entire 5000 patent data-set was uploaded on the tool and was used for categorizing the records based on type of valve, material of construction etc.
- The technology assessment was thus made based on a huge patent data-set using an in-house developed AI/ML tool.
- The model achieved more than 70% accuracy.
- The AI/ML tool was integrated into a globally accessible portal which enabled quick visualization of the patent data-set using graphical representation.
The study was completed in 2 week and costed $25,000[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_btn title=”View All” color=”primary” size=”sm” align=”right” link=”url:http%3A%2F%2Fcase-studies|title:View%20All||” el_class=”cs_btn_bg”][/vc_column][/vc_row]