70% time savings in retrieving required information from large knowledge repositories
40% productivity enhancement for support teams
Extracting structured clinical data from dense and complex medical research papers and articles.
ParseQa extracts quantitative/qualitative data from unstructured text, tables, images and provides NL-based querying.
Enabled faster insights, reduced manual effort, and improved decision-making in life sciences R&D.
Traditional FAQ bots rely on keyword matching and lack understanding of document semantics.
ParseQa enables semantic indexing of unstructured content across formats for intelligent question answering.
Delivered a dynamic FAQBot that's intuitive, scalable, and quickly customizable across domains.