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Vessa
AI restaurant booking assistant without an app
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At a glance
Vessa is on a mission to streamline the restaurant experience through human-centred AI, from discovery and booking to payment and feedback.
One point of contact. One intelligent assistant.
Their tech learns your preferences, understands your context, and handles the admin of discovery and booking without the need of an app.
Quick fire details
Headquarters: London, UK
Employee count: 4
Business model: B2C & B2B
Backed by:
Prev raised a £150k F&F round in February 2025
Pre-seed round: £25,000 from one angel investor/ advisor
S/EIS: ✅
Funding amount: £500,000 pre-seed at a £5M post-money valuation. To scale user acquisition, and begin monetising across both B2B and B2C channels.
The founders
Founder & CEO, Peter Farrell: 25+ years hospitality sector experience,
including 3* Michelin level kitchens. Founder and ex-operator of various
restaurant, food hall and street food concepts. Supported 100+ operators through Food Motion consultancy agency, founded in 2019. NatWest Accelerator alumni.
The market
The value of global AI-powered restaurant discovery and booking is set to reach £1.6B by 2031.
This startup is solving one key problem:
The options for finding, booking and managing restaurants is highly fragmented with options from a lot of existing incumbents that are not designed for specific problems.
Vessa are using AI to act as the discovery, booking and admin partner for all consumers while also acting as an additional distribution source for restaurants.
Founder-Market Fit:
Peter is well experienced in the hospitality and food industry giving him an extensive network and clear insight into the consumer problem. He has also built a high pedigree management team consisting of Renu Ballantine (CFO), Rys Bilinski (CTO) and Gavin Chetty (CMO), including advisors who are exited founders and execs at successful businesses within the industry (Trailsuite and Yo! Sushi).
Traction metrics
Private beta MVP built using their F&F fundraise capital.
Secured two revenue-generating partnerships
Grown a waitlist of over 300 engaged users
Competitive landscape
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Our Take
Appeals
Proactive and frictionless AI assistant (no app): Instead of users searching their AI learns customers preferences and suggests restaurants via WhatsApp or email, with no app or browsing needed.
B2C + B2B value: For restaurants they deliver incremental bookings and unique customer insights without the high commission fees of legacy platforms.
Hyper-personalised recommendations: By combining LLMs, user embeddings, and curated data Vesa can offer tailored choices, not generic lists like incumbents or legacy platforms. This completely eliminates the need to scroll.
Risks
Slow tech adoption: Consumers or businesses may be slower to adopt AI-powered restaurant booking tools than the team anticipates, especially if existing solutions or habits prove sticky.
Current lack of integration with major booking platforms: This may limit full automation in the MVP stage. Manual or workaround solutions could impact scalability until direct integrations or partnerships are secured.
Capital urgency: The business requires funding to move beyond private beta and achieve meaningful market traction. Delays in fundraising will hinder product development and go-to-market efforts.
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Last feature’s results
Our readers are NOT CONVINCED with NearybyStore.
20%of readers are a fan | 80%of readers are not convinced |
“If they had PE backing and were rolling up the corner shops in a mass acquisition network effect. That would be interesting.”