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AI-powered virtual relationship manager startup RevRag AI raises $2.5 million to expand into US market

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AI-powered virtual relationship manager startup RevRag AI raises $2.5 million to expand into US market

Enterprise AI startup RevRag AI has raised $2.5 million (about Rs 24 crore) in a seed funding round led by Accion Ventures, with participation from Cedar Hill Capital, Wyser and Venture Catalysts.

The startup said it will use the fresh capital to accelerate product development, expand enterprise deployments and enter the US market.

The latest investment follows a $600,000 pre-seed funding round led by Powerhouse Ventures in August 2024, which also saw participation from angel investors, including CRED founder Kunal Shah.

Founded by Ashutosh Prakash Singh, Neeraj Gupta and Pankaj Gupta, RevRag AI develops multilingual, autonomous AI agents designed to help banks, lenders, fintech and insurance companies manage customer onboarding, product sales and customer support.

The startup previously developed AI-powered sales automation tools for businesses before shifting its focus towards customer-facing processes in the banking, financial services and insurance (BFSI) sector in early 2025.

The shift was driven by challenges in digital customer onboarding, where repeated data entry, multiple verification steps and extensive documentation can delay transactions and lead customers to abandon applications.

RevRag AI aims to address these problems through AI agents that operate within financial institutions' applications and act as virtual relationship managers.

The agents are designed to help customers understand financial products, complete onboarding requirements and access real-time assistance in multiple languages.

According to the startup, its technology can reduce customer drop-offs, particularly among users who struggle with financial terminology, English-language interfaces or complex digital processes.

RevRag AI also claims its platform can help financial institutions generate revenue while operating at up to 70% lower cost than traditional customer engagement channels.


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