Capital Quant Solutions Pvt Ltd.

  • Delhi, India
  • FinTechTrading, Enterprise SoftwareEnterprise Mobility, FinTech, Big Data, Platform, Research

Capquant is a cognitive automation company for the financial services sector. We take our clients from documents to decision making.

Founded:
2013
Stage:
Early Revenues
Market:
B2B

Startup Video

Featured

Image

Barclays’ Rise Accelerator announces first cohort with 10 FinTech startups | Times of India

Oct 17, 2016

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Barclays’ Rise Accelerator announces first cohort with 10 FinTech startups | Times of India

Oct 17, 2016


Founded

We incorporated the company

Jun

2013

New Product Release

Released the minimum viable product

Sep

2014

Customer

Signed up with HDFC Bank

Dec

Customer

Signed up with Almondz Global Securities

May

2015

Jobs


Team Summary

Capital Quant team comprises of seasoned technologists who have worked with Global Investment Banks and Asset Management firms. Expertise of the team is in the following areas:
1. Capital Markets Business Domain
2. Machine Learning
3. Statistics
4. Core Technology for developing applications

Team

Founding Team

Founder & CEO @ Capital Quant Solutions Pvt Ltd, Director @ Sapient Global Markets, Vice President @ Lehman Brothers

WORK

Capital Quant Solutions Pvt Ltd (2015 - present)
Founder & CEO

Sapient Global Markets (2011 - 2015)
Director

Lehman Brothers (2007 - 2011)
Vice President

EDUCATION

S.P. Jain Institute of Management & Research
PGDBA • 1997 - 1999

Indian Institute of Technology, Kharagpur
1990 - 1994

Team Members

Arun Krishnamoorthy

Arun Krishnamoorthy


Head of Engineering

Product/Service Summary

Capital Quant Solutions (CQS) is a boutique firm focused on offering cognitive automation solutions to the financial services industry. CQS offers FinStinct as a solution which uses machine learning & natural language processing tech for addressing the problem of text based information overload for banks and financial institutions.

Over the last decade the financial services sector has experienced an explosive growth in the amount of documents and text that are both produced and/or consumed by this industry. These are complex documents such as the annual reports of companies, research reports, news etc. The analysts in all functions rely on manually reading these documents, extracting relevant information and analysing the same. Obviously this manual consumption creates bandwidth constraints and is error prone. Traditional approach has been to hire more analysts as the business grows. CQS is solving this problem for cross functional domains within the financial services industry.

Product/Service Descriptions