Affluense AI, a business intelligence platform that helps companies engage high-net-worth customers, has raised Rs 3 crore in a pre-seed funding round led by Zeropearl VC, with participation from prominent investors including Kunal Shah, founder and CEO of CRED, and Pravin Jadhav. The startup plans to use the fresh capital for product development, technology infrastructure, market expansion, and talent acquisition, according to a company press release.
Transforming Affluent Customer Engagement
Founded by Sumit Sahu and Rishi Kumar, Affluense AI aims to help businesses serving affluent clients discover, understand, and connect with high-net-worth individuals more efficiently. Its platform offers features such as deep research enrichment, Connect AI, trending deals, and AI-powered network graphs, transforming traditional prospecting workflows into data-driven, relationship-focused processes.
The startup primarily serves sectors such as wealth management, luxury goods, real estate, and automotive, enabling companies to identify potential clients and optimize outreach strategies. Early partners, particularly in wealth management, have reported notable improvements in client acquisition rates and enhanced relationship management through Affluense AI’s insights.
Driving Growth Through Technology
Affluense AI combines artificial intelligence and advanced analytics to provide actionable insights on affluent customer behavior and preferences. By converting complex datasets into clear, relationship-first intelligence, businesses can make faster and more informed decisions, reduce prospecting time, and strengthen client engagement.
With the pre-seed funding, the startup plans to scale its technology, expand its client base, and strengthen its team, positioning itself as a key player in India’s growing luxury and wealth management ecosystem.
Affluense AI’s approach highlights the increasing importance of AI-powered intelligence in connecting with high-net-worth clients and building long-term, scalable business relationships.
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