Enterprise fraud & risk management startup appoints Nitin More to lead India expansion

ADVANCE.AI one of the leading artificial intelligence (AI) company that provides digital identity verification, enterprise fraud and risk management solutions, has appointed Nitin More to lead its India expansion.

Nitin More has over 20 years of experience in business development, sales and partnership management for top-tier banks, fintechs, financial services as well as non-banking financial companies (NBFCs), particularly in the areas of AI-based credit scoring and decisioning, risk underwriting, and digital payments.

He graduated from VJTI, Mumbai with a bachelor’s degree and completed a post-grad business management program from the India Institute of Management and Analytics programme from the Great Lakes Institute of Management.ADVANCE.AI is part of Advance Intelligence Group, a Singapore-based tech unicorn backed by key investors SoftBank Vision Fund 2, Warburg Pincus, Northstar, Vision Plus Capital, GSR Ventures and Singapore-based global investor EDBI.

“I’m excited to join ADVANCE.AI at a time when banks and financial services institutions in India are undergoing a major digital transformation wave to serve the needs of the underserved and new credit segments. They need a technology partner that can fulfill the gaps and requirements, help them accelerate digitally and future-proof their businesses more effectively and efficiently. The potential for our digital KYC, alternative credit and risk management technology here in India is massive. My immediate priorities will be to grow our team to expand and support our growing commercial and data partnerships, to serve our client base across India,” said Nitin More, India Country Manager of ADVANCE.AI.

In India, ADVANCE.AI partners with 100+ enterprises, including fintechs who facilitate open banking, fintech/ NBFCs into auto lending, new-age credit card onboarding companies who partner with major banks for digital onboarding and decisioning, leading P2P lending companies, and NBFCs in alternative data scoring and decisioning.

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