It is a high-intent Tinder-like dating platform that combines human matchmaker expertise with advanced AI models to deliver curated introductions without swipe fatigue. Users engage with a voice-enabled AI matchmaker that hand-picks three to five compatible matches each week.
The core task of this project was to design and implement the mobile application's backend. Additionally, we had to integrate various APIs and ensure seamless data sharing among multiple software solutions.
The result of our cooperation with the client is an efficient AI-powered dating app that suggests an innovative, algorithm-driven matchmaking based on user data and answers provided to the built-in AI agent. Besides simple chatting, a virtual assistant can recognize voice commands and provide answers, which enhances the user experience and improves app accessibility.
Backend software development and API integration were key aspects of this project. The smart utilization of third-party solutions helped reduce development time while ensuring high-quality results.
The system leverages large language models for compatibility scoring, ElevenLabs for realistic voice interactions, and manual verification workflows. AWS cloud infrastructure enables scaling as the app expands beyond its initial cities.
Scaling human-like AI interactions for thousands of users
models with numerous matchmaking parameters and RLHF.
Ensuring natural voice quality
and iterated recordings to achieve human-like cadence.
Maintaining high-intent community as user base expands
verification selfies, and city rollout only after reaching critical mass.
DateFlow helps business to provide more efficient and competitive services:
conversion rate
more accurate suggestions
faster data processing
AI-driven matchmaking is one of the most innovative features in the dating industry. By leveraging robust data analysis and user responses, algorithms achieve a significantly higher conversion rate. It takes into account many aspects of a person, including their worldviews, preferences, interests, and hobbies, to find the best potential partner. According to statistics, more than 90% of users reported seeing a soulmate.
In addition to analyzing user input, such as answers to brief descriptions of people, the built-in virtual assistant gathers feedback. This helps continue fine-tuning the recommendation models and increase matching accuracy over time. App owners guarantee a successful match; otherwise, they will receive refunds if their match ghosts.
Each profile is manually reviewed, and a verification selfie is required to ensure community quality and safety. It is one of just a few manual processes within the application, designed to maintain human involvement and decision-making in user verification. Additionally, a personalized approach helps maintain high levels of privacy and data security, limiting the AI’s access to personal information for enhanced protection.
Let's discover how we can help you reach your goals.
This site uses cookies to improve your user experience. Read our Privacy Policy
Accept