Banza Raises $1M Pre-Seed to Build a Personal AI Twin That Learns With You

There’s a quiet shift happening in how people relate to technology—and startups like Banza are leaning right into it.

The Bengaluru-based AI-driven data-sharing startup has raised $1 million in a pre-seed round led by Campus Fund, with participation from Avalanche and a group of angel investors. But beyond the funding headline, what Banza is really betting on is something far more personal: the idea that your data should work for you, not the other way around.

Founded earlier this year by Mehdi A and Aditya Vijayakumar, Banza is building what it calls a “personal AI Twin”—a digital layer that learns from your everyday behaviour and evolves with you over time. It’s an ambitious take on personalization, one that moves beyond algorithms recommending the next video or product, toward something that understands context, habits, and intent.

Think of it as an AI that doesn’t just react, but gradually gets you.

From deciding what to eat on a busy weekday to planning a weekend outing or even choosing what to buy, Banza’s AI Twin is designed to assist across the small, frequent decisions that shape daily life. The idea is simple, but layered: the more it learns, the more useful it becomes.

Right now, most digital platforms operate in silos—your shopping data lives in one place, your content preferences in another, and your habits are scattered across apps that rarely speak to each other. Banza sees this fragmentation as the core problem. Its platform aims to unify these signals, giving users a more coherent, personalized experience while keeping ownership at the center.

The fresh capital will go into strengthening this vision—accelerating product development, refining the user experience, expanding the team, and laying the groundwork for what the company describes as a new “personal AI” category.

At a time when conversations around AI are dominated by scale, speed, and capability, Banza’s approach feels more intimate. It’s not just about building smarter systems—it’s about building one that knows you well enough to be genuinely useful.

-By Muskan Dengra

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