Eyes Wide Shut is an AI‑powered matchmaking platform that replaces photo profiles with personality embeddings generated by large‑language‑model encoders. It uses vector similarity search to pair users in private, photo‑free chat rooms where an AI facilitator suggests conversation topics and continuously refines compatibility scores from chat behavior. The service is offered for free and includes end‑to‑end encryption to protect user data.
Funding
Funding not disclosed
Founders
Product
Problem
Current online dating platforms prioritize visual profiles and gamified swiping, which encourages superficial interactions and reduces the likelihood of forming lasting, compatible relationships. This design often leads to user fatigue, decision overload, and heightened loneliness despite a large market size.
Solution
Eyes Wide Shut offers a matchmaking service that replaces photo‑based profiles with AI‑driven compatibility analysis. The platform creates personality embeddings for each user and applies vector similarity search to identify highly compatible partners. Matches are introduced in a private chat where the AI guides the conversation, eliminating visual bias and encouraging deeper dialogue. User behavior during chats is fed back into the model to refine future recommendations. The service is provided at no cost, emphasizing relationship quality over user retention metrics.
Target Audience
Singles who are dissatisfied with swipe‑centric apps and seek deeper, compatibility‑based connections, particularly younger adults and professionals looking for long‑term relationships.
Features
- Personality‑driven embedding generation using large‑language‑model encoders to capture values, interests, and communication style.
- Real‑time vector similarity search across a scalable vector database to surface the most compatible matches.
- Photo‑free, one‑on‑one chat rooms where an AI facilitator suggests conversation topics and prompts based on shared traits.
- Continuous behavior analytics that adjust individual compatibility scores and influence subsequent match cycles.
- End‑to‑end encryption and strict data‑privacy controls to protect user information and conversation content.
- Free access model with no in‑app purchases or subscription walls, ensuring equal opportunity for all users.
- API hooks for future integration with external relationship‑coaching tools or analytics dashboards.