Cognitive automation to derive insights from large volumes of unstructured data
Leveraging its deep domain knowledge and technical expertise, Mindtree's Banking and Financial Services Practice has been delivering solutions for leading -banks, card & payment companies, investment management firms, brokerage firms, exchanges, clearing and settlement houses, investment services, private equity, retail, and financial product companies globally.
The Mindtree-Capital Quant partnership will enhance Mindtree's capabilities in compliance and NLP and leverage the capabilities of FinStinct, a platform developed by Capital Quant. FinStinct is deployed by large stock exchanges, banks, and reconciliation software providers and is used to extract and analyze critical contextual information from large volumes of unstructured data. Powered by machine learning, deep learning, and NLP, this customizable extraction engine is used for intelligent decision-making and risk mitigation to improve operational efficiency and increase productivity. The partnership between Mindtree and Capital Quant will help our customers derive critical insights from their unstructured data and documents automatically.
About the partner
Using AI/ML to make sense of data deluge
Capital Quant (CapQuant) is a boutique firm focused on extracting structured data from unstructured financial documents. They offer technology that uses the power of machine learning, NLP, and AI to identify relevant parts of the document and analyze it.
The team comprises professionals who have deep expertise in banking, capital markets domain, and cognitive technologies such as machine learning, NLP, and AI.
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