FinStinct uses machine learning and NLP technology to extract & analyse large volumes of unstructured data to derive actionable intelligence for the financial services industry. It automates the extraction & analysis of meaningful information provided in financial documents such as annual reports, equity research reports, earning call transcripts, news etc.
Market participants, credit risk, trade finance & treasury functions take a lot of decisions based on the information that is provided in such documents. These functions derive Insights from the documents manually and this creates a bandwidth problem.
This not only enhances the productivity but also reduces cost as currently the manual process is expensive.
For eg currently the credit risk team extracts the balance sheet for their SME clients from their annual reports which comes in a PDF. The extraction is done manually and then stored it in their system. FinStinct automates not just the extraction but also storage and analysis.