Genie is an AI‑driven recommendation platform that tailors activity, travel, dining and leisure suggestions to each user by analyzing their past memories, current context, social circle and inspiration sources. It continuously syncs data from calendars, photos and other apps to refine a personal profile, then delivers curated options with narrative explanations that show why each choice matches the user’s history and preferences.
Funding
Funding not disclosed
Founders
Product
Problem
People often struggle to discover activities, venues, and experiences that truly match their personal history, preferences, and current context, leading to generic or irrelevant suggestions. Existing recommendation services lack deep integration with users' past memories, social circles, and data from other apps, resulting in a fragmented and impersonal experience.
Solution
Genie is an AI-driven platform that creates highly personalized recommendations by analyzing a user's past experiences, contextual information, social preferences, and inspiration sources. The system continuously learns from the user's interactions across connected apps to refine its understanding of individual tastes and current relevance. By synthesizing this data, Genie delivers curated suggestions for trips, dining, dates, and leisure activities that feel uniquely tailored to each user. Recommendations are presented with descriptive narratives that highlight why each option aligns with the user's memories and preferences, enabling more meaningful and satisfying choices.
Target Audience
Genie targets individual consumers who seek highly personalized lifestyle and travel recommendations, as well as app developers looking to embed advanced, context‑aware suggestion engines into their services.
Features
- Memory-based profiling that incorporates users' past trips, events, and favorite moments to inform future suggestions
- Contextual awareness that adjusts recommendations based on time of day, location, and real‑time relevance
- Social integration that considers friends' likes and shared experiences to suggest group‑compatible activities
- Taste and inspiration modeling that captures artistic, culinary, and lifestyle influences shaping user preferences
- Cross‑app connectivity that imports data from calendars, photo libraries, and other services to continuously update the user profile
- Narrative recommendation format that explains the personal relevance of each suggestion