Hulp raises $2.6M seed to scale AI-run household concierge service

What's the deal? HulpDealroom has a profile for this one. Try Dealroom →, an Indian personal assistance and concierge platform, has raised $2.6 million (about 227 million INR) in a seed round co-led by Sparrow CapitalDealroom has a profile for this one. Try Dealroom → and BITKRAFT VenturesDealroom has a profile for this one. Try Dealroom →. DeVCDealroom has a profile for this one. Try Dealroom →, z47, and angel investor Yashish DahiyaDealroom has a profile for this one. Try Dealroom →, co-founder and chairman of PB FintechDealroom has a profile for this one. Try Dealroom →, also participated.

What's the endgame? Founded in April 2026 by Tarun Mathur, Neha Kulwal, and Vishal Singh Khutel, the Gurugram-based startup lets urban households delegate daily, weekly, monthly, and one-time tasks across more than 15 categories. Users assign tasks via WhatsApp or its mobile app using voice notes, handled by personal assistants supported by AI-coordinated operations.

What does it cover? Services span government documentation, kitchen management, laundry, gardening, event bookings, restaurant reservations, and travel. A 50-member operations team manages the routine work.

What's the money for? The proceeds will fund AI workflows across lifestyle, household, and operational management, strengthen senior leadership, and improve the company's technology and product. Hulp currently operates in Delhi, Gurugram, and Noida, and plans to expand to Mumbai, Bengaluru, Pune, Hyderabad, and Chennai.

Why now? Mathur brings pedigree to the raise: before Hulp, he was co-founder and chief business officer at PolicyBazaar (PB Fintech), where he led several business verticals. That track record, plus Dahiya's backing, gives the four-month-old startup an established fintech network behind it.

The signal: The round lands in the top 10% of all-time seed deals in India's home living sector, out of some 3,800 comparable rounds. That signals investor appetite for AI-assisted services aimed at time-poor urban households — a bet that concierge platforms can scale where human-only models have struggled.

Read more: Entrackr

Image credit: Generated with Gemini