Vacati Raises INR 10 Lakh in Angel Funding to Build AI Led Food and Beverage Intelligence Platform

• Secures backing to develop a specialised hospitality focused LLM
• Plans App Store launch to bring real time pairing intelligence to consumers and industry professionals

New Delhi/ NCR, 6th April’ 2026 : Vacati, an AI-driven food and beverage intelligence platform, has raised angel funding in a recent round to accelerate the development of its proprietary hospitality-focused AI and expand its product ecosystem.

Founded by hospitality professional Ravi Shukla, Vacati was conceptualised to bridge a long-standing gap in the industry, limited access to structured, actionable knowledge despite deep domain expertise. The platform enables both consumers and hospitality professionals to make smarter, more confident food and beverage decisions through real-time pairing intelligence and guided learning.

The funding round saw participation from angel investor Karan P. Gupta. The newly raised capital will be utilised to develop a sophisticated, domain-specific large language model (LLM) tailored for hospitality, food, and beverage applications, along with the deployment of Vacati’s consumer-facing application on the App Store. A portion of the capital, including an allocation of INR 10 lakh, will be utilised towards training its domain-specific large language model (LLM).

For consumers, Vacati offers intuitive pairing recommendations, helping users understand what works, why it works, and what to explore next. For hospitality businesses, Vacati’s training tool serves as its first major product within the app, designed specifically for restaurants and hotels to train their teams. Built around micro-topics, it helps boost staff confidence, refresh knowledge, and deliver more consistent and informed guest experiences.

Breaking conventional pairing norms that are typically limited to food with wine or scotch with cigars, Vacati introduces a first-of-its-kind intra-category pairing engine. The platform intelligently suggests pairings across six distinct domains including food, wines, spirits, cocktails, coffee, tea, and cigars. Enabling users to explore combinations beyond traditional boundaries and discover more nuanced, elevated experiences.

Speaking on the funding, Ravi Shukla, Founder of Vacati, said Vacati was built to address a fundamental gap in our industry, making knowledge more structured, accessible, and actionable. This investment allows us to deepen our AI capabilities and build a specialised LLM that understands the nuances of food, beverage, and hospitality at scale.

Currently in its first evolving version, Vacati is powered by a dedicated AI model being trained on high-quality scientific studies and sensory research, ensuring recommendations are explainable, reliable, and rooted in expertise. Built with the industry, not just for it, Vacati aims to redefine how people learn, experience, and interact with food and beverage.