26 June, 2017: Mumbai-based data analytics startup Quantta Analytics has raised the undisclosed amount in Pre-Series A funding. The round was led by Anmol Nayyar and other entrepreneurs from India, UK and United States.

 

The startup plans to deploy raised capital to enhance its tech stack, strengthening the core technology team, and expanding its presence across various cities in India and Silicon Valley.

 

Quantta Analytics was founded in 2014 by Ritesh and Malvika Bawri. The company uses neural networks and cutting-edge machine learning combined with behavioral psychology to decipher and predict human behavior.

 

The company claims to build India’s first integrated data platform that combines over 300 data streams to homogenize and standardize data from disparate data sources to build an integrated view of our world. Clients can connect their disparate data sources and understand their data almost instantly.

“Our data coverage currently includes 200 Cities and every village in India. Our analytics use this data pools to build a deep understanding of our country and consumer behavior. It does this through the use of artificial Intelligence, and deep learning graphs. Our clients use our insights to drive efficiency and productivity in their respective business,” says Ritesh Bawri, co-founder, Quantta Analytics.

 

Quantta’s team of 14 comprises mathematicians, PhDs, statisticians, and engineers are from MIT, Harvard, University of Michigan, University of Maryland, IIT and ISI.

 

Founder Ritesh Bawri has been involved with data science since 1999 when his first company in Silicon Valley filed for patents in relation to monetizing ownership of personal data. Now Quantta is in the process of setting up Quantta Labs in Silicon Valley.

 

It is already working with over 100+ clients in microfinance, BFSI, retail, hospitality, food & beverages, logistics, energy, and healthcare. Some of its major clients include State Bank of India, Kotak, Fullerton, IDFC, Muthoot, Mannapuram, Ujjivan, Capital First, McDonald’s and Starbucks among others.

 

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