The startup provides an AI‑driven reservation platform that predicts each guest’s likely cuisine, dish, and beverage choices by analyzing historical bookings and real‑time data. It combines this prediction with a mobile‑first AR menu that renders photorealistic 3D dish models and integrates via bi‑directional APIs with POS and kitchen systems to optimize table allocation, reduce wait times, and cut food waste. Restaurant managers use a web‑based analytics dashboard to monitor reservation trends, menu engagement, and operational KPIs.
Funding
$1.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
High-end restaurants often rely on manual reservation processes and static printed menus, which limit their ability to anticipate guest preferences and deliver a differentiated dining experience. Post‑pandemic diners expect personalized, tech‑enhanced interactions, and the lack of such capabilities can reduce table turnover efficiency and customer satisfaction.
Solution
The company provides an AI‑driven reservation platform that analyzes historical booking data, guest profiles, and real‑time availability to forecast individual dining preferences before guests arrive. Integrated augmented‑reality (AR) menus overlay 3D visualizations of dishes onto a patron’s device, clarifying ingredients and presentation while encouraging upsells. The system synchronizes with existing point‑of‑sale (POS) and kitchen management tools to align seating assignments with predicted order patterns, reducing wait times and food waste. Restaurant managers access a web‑based analytics dashboard that reports on reservation trends, menu engagement metrics, and operational KPIs, enabling data‑informed staffing and inventory decisions. By combining predictive AI with immersive AR, the platform enhances guest personalization, streamlines front‑of‑house operations, and supports the evolving expectations of upscale hospitality.
Target Audience
The primary customers are independent fine‑dining restaurants and upscale restaurant groups seeking to differentiate their service through data‑driven personalization and immersive menu technology.
Features
- Machine‑learning engine that scores each reservation for likely cuisine, dish, and beverage preferences using anonymized guest data
- Mobile‑first AR menu viewer that renders photorealistic 3D models of dishes, with interactive ingredient and allergen overlays
- Real‑time table‑allocation optimizer that matches predicted order profiles to kitchen capacity and server availability
- Bi‑directional API connectors for major POS, reservation, and kitchen display systems to ensure seamless data flow
- Dashboard with cohort analysis, conversion funnels, and waste‑reduction insights for operational managers
- Role‑based access control and end‑to‑end encryption to meet PCI‑DSS and GDPR compliance for guest data
- White‑label branding options allowing restaurants to maintain their visual identity across the reservation and AR experiences