Kabeer Biswas, the energetic cofounder behind Dunzo, now chases a new mission. He wants to create an AI-powered concierge service that handles the daily tasks of busy urban professionals. His vision draws strength from the lesson-rich journey of Dunzo and the rapid rise of AI agents. He currently engages with top venture capital firms to raise nearly twelve million dollars for this new venture. His plan signals a bold comeback and a renewed bet on convenience, technology, and human behavior.
A New Beginning After Dunzo
Kabeer stepped away from Flipkart Minutes, the quick-commerce vertical that initially absorbed Dunzo’s last stretch of execution talent. After a demanding few years in quick commerce, he now wants to shape an entirely new category. He believes India’s urban consumers crave reliable help for micro-tasks, booking needs, errands, coordination, and everyday friction. This belief aligns with a clear trend: professionals in major cities prefer outsourcing small chores instead of losing valuable time to logistics.
Kabeer approaches the market with stronger clarity this time. Dunzo’s story included rapid scale, huge demand, and a painful collapse when rising costs hit the economics of hyperlocal delivery. Kabeer now wants to retain the magic of getting things done without repeating the old cost-heavy model. He wants AI to shoulder most of the work and human support to step in only when needed.
The Problem He Wants To Solve
Indian consumers live with an overload of daily tasks. They juggle travel planning, bill payments, reservations, house maintenance, gifting, coordination with service providers, and countless irregular chores. Most people struggle to manage all of these after intense work hours and long commutes.
Kabeer’s new venture aims to step into this gap. He wants his AI system to act like a dependable personal assistant who understands context, preferences, timing, and urgency. This assistant will learn patterns, evaluate needs, schedule tasks, negotiate when required, and complete errands through a trusted network of partners.
He calls this concept a “broader concierge layer” for modern life. Instead of simply delivering items or handling groceries, his platform will organize tasks end-to-end. For example, the system may plan a trip, book flights, arrange hotel stays, find restaurants, and coordinate on-ground logistics without any manual input. It may also secure hard-to-get appointments, manage deliveries, connect with agents, or even solve unpredictable problems like a sudden appliance breakdown.
Why AI Suits This Vision
The rapid evolution of AI transforms the original Dunzo idea. AI agents now interpret conversations, perform multi-step reasoning, take real actions on the internet, and coordinate across apps. These abilities allow Kabeer to build a concierge that scales efficiently, unlike the human-heavy quick commerce model. AI also reduces operational costs and improves response time.
AI agents also remove friction. Most consumers dislike toggling across apps, typing long instructions, or waiting in customer service queues. A single conversational interface eliminates these steps. Users can speak naturally, describe a problem, and let the system take full ownership.
Kabeer repeatedly communicates one idea to potential investors: AI can finally deliver the concierge service Dunzo once dreamed of but could not support financially.
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The Funding Strategy
Kabeer already initiated conversations with well-known investors. His outreach includes Peak XV Partners, Lightspeed Venture Partners, and Blume Ventures. All three firms understand India’s consumer internet landscape and maintain interest in AI-driven platforms. Kabeer wants these investors not only for funds but also for their expertise in scaling operationally complex businesses.
He reportedly targets about twelve million dollars in the early-stage round. This amount allows his team to hire researchers, engineers, product designers, and operations specialists. It also allows him to test the system in one or two major cities before expanding. Early users will shape the product’s intelligence and reliability. Their behavior will help the system learn how Indian consumers speak, think, request help, and prioritize time.
Market Trends Support His Move
Urban India now spends more money on convenience than ever before. People outsource tasks to cooks, drivers, cleaners, laundry services, repair professionals, and delivery partners. They also lean heavily on apps for rides, food, grocery, travel, finance, and healthcare.
A concierge layer makes sense at this moment because:
- Consumers already understand the value of time.
- Inflation drives more professionals to work longer hours.
- AI adoption grows rapidly in workplaces and homes.
- People want solutions that merge multiple needs instead of switching between apps.
Kabeer’s idea mirrors this shift. He wants to build the “operating system for everyday tasks.”
Competitive Landscape
The concierge category does not stand empty. Several startups experiment with similar ideas. Some offer 24/7 human concierges. Others offer automated booking services. A few major players, including food delivery giants, now test personal task outsourcing models.
However, Kabeer holds a real advantage. He understands local logistics deeply. He already built one of India’s earliest hyperlocal ecosystems. He knows vendor behavior, partner incentives, consumer expectations, and operational pitfalls. His experience gives him a sharper instinct for what works on the ground.
Challenges He Must Overcome
His new venture also faces notable challenges. First, AI agents still make mistakes. They sometimes hallucinate or misinterpret cultural nuance. Kabeer’s system needs strong safeguards, high accuracy, and reliable fallbacks.
Second, product-market fit requires careful shaping. A concierge platform can overwhelm users if it tries to solve everything at once. Clear prioritization matters.
Third, the economics need discipline. Dunzo struggled when costs spiraled. Kabeer now prefers efficiency from day one. He wants lean operations, fewer humans in the loop, and robust automation.
Fourth, trust plays a major role. Consumers will share personal information, calendars, financial details, and travel plans. The platform must earn confidence with strong privacy systems.
Why Investors Take This Seriously
Investors know Kabeer’s track record includes both failure and brilliance. He built a beloved brand that defined India’s urban convenience culture. Dunzo created habits and vocabulary that people still remember. Investors also understand that strong founders often produce their best ideas after a tough learning cycle.
The AI concierge concept also excites them because it aligns with global trends. Major tech companies now shift toward agentic AI—systems that not only reply but also act. A successful Indian concierge platform can influence markets across Asia.
What Comes Next
Kabeer will likely announce the funding round soon. After that, he will build a pilot version of the product for a small audience. His team will test reliability, scope, partner onboarding, and everyday usage patterns.
He intends to launch in major cities where professionals lead busy, time-starved lives—most likely Bengaluru, Mumbai, or Delhi.
If this model works, the platform may transform how Indians handle their daily lives. A smart assistant that completes chores end-to-end can create a new category of consumer behaviour, just like Dunzo once did.