Data Sutram is a fintech startup that raised USD 9 million in a Series A fundraising round with the goal of using the money to promote its growth.

Data Sutram raised USD 9 million in a funding round led by international investment firms B Capital and Lightspeed. The startup intends to use the funds to strengthen compliance in high-risk, fintech, and banking industries, support its global expansion, and enhance AI-enabled fraud detection.

Data Sutram uses artificial intelligence (AI) and external intelligence from about 250 sources to help insurance companies manage fraud, reduce cybersecurity risk, comply with regulations, expand throughout the client lifetime, and help with loans and payments.

Data Sutram’s financial plans

The investment is expected to help Data Sutram expand its business in important foreign markets and promote the creation of its AI-enabled platform. In response to the news, Data Sutram executives emphasized that the investment will help enhance their company’s product range, expand their clientele, and strengthen their global footprint so they can service more organizations and companies worldwide.

Additionally, Data Sutram focuses its efforts on protecting businesses with Trust Score and tackling the difficulties caused by losses from cyber fraud. The program examines digital trails to find trends such as collusion, identity theft, and fake identities. Additionally, the platform provides a comprehensive client overview, assisting financial institutions throughout India in running more securely and effectively.

Data Sutram’s solutions, which are used by banks, non-bank financial institutions (NBFCs), and fintech businesses, optimize approval rates, lower non-performing assets (NPAs), and minimize the formation of mule accounts that scammers use. By providing more privacy protections, the company’s platform guarantees adherence to data protection laws.

With the additional funding, Data Sutram will also be able to expand its fraud detection skills to other high-risk industries, including as insurance, e-commerce, gaming, cryptocurrencies, real-time payments, and q-commerce.