Tejaswini Murudkar

Capital Quant Solutions (CapQuant) is focused on solving the problem of document based information overload for the financial services industry. Banks and financial institutions across the globe receive complex and unstructured documents such as financial statements, bank statements, news, corporate announcements, research reports etc. Key financial decisions are taken based on the information in these documents. Current process is manual where an analyst (who is typically and MBA/CA) reads thru the documents and extracts relevant information and then analyzes the same. Such analysts are hired across all functions such as credit, risk, trade finance, equity, fixed income etc. Manual process has limitations: 1. It is expensive as it consumes expensive human bandwidth. 2. It is error prone. 3. It has limitation of scale. To address these problems CapQuant offers FinStinct as a comprehensive cognitive automation solution which uses the power of ML/Ai & NLP. FinStinct can process just about any financial document and pull out the relevant information for analysis. FinStinct product has pre-created models which are available off the shelf for generic documents which are used by almost all financial institutions. FinStinct also offers a platform which has a very powerful do-it-yourself engine called the K-Engine. It gives the power of building machine learning models to pull key value pairs from any document to a business user who may not know machine learning. By using the platform the user can build models specific for any document and start extracting key value pairs from those documents.