JPMorgan has taken an undisclosed stake in another of its In-Residence startup graduates, Limeglass, which filters financial research documents for consumption by distinct industry users.
Limeglass technology automatically analyses the paragraphs in research documents in real-time, taking into account the underlining context and structure. It uses proprietary Natural Language Processing (NLP), AI, and machine learning to smart-tag each paragraph in context, enabling banks to personalise their research output for both internal and external audience
Rowland Park, CEOand co-founder of Limeglass, says: “The volume of financial research, and the lack of innovation in how it is delivered, mean that market participants can spend hours searching through their email to find information on the trades they are considering. It is all too easy to miss vital information buried deep in large documents, wasting time and valuable research insights. Limeglass cuts through the noise, providing users with only the relevant paragraphs in their financial research with a simple search.”
Limeglass recently completed JPMorgan’s In-Residence Program, which incubates emerging technology companies to develop production-ready solutions solving for critical wholesale banking problems. Other firms to have benefited from the approach, include trade matching outfit Wematch, post-trade startup AccessFintech, and data management firm Mosaic Smart Data.