Company Performance Metrics
Srvn develops an AI dining agent and dining decision platform that focuses on restaurant decision-making rather than simple discovery. The platform uses a personal taste graph that incorporates individual preferences, friend and group context, restaurant and dish-level data, and occasion, budget, and location inputs. It compiles signals such as
reviews, ratings, photos, saves, group events, and past choices into a persistent profile of taste. Users interact with the agent to receive restaurant recommendations that reflect both their own history and their group’s patterns. The service is designed for people deciding where to eat and for groups coordinating dining plans, providing suggestions with explanations based on budget, vibe, and dish matches. Access is currently managed through a waitlist process for early users.
