Can AI improve the dating application market? New dating application called Strainer It aims to learn how to use human knowledge in the field of renovation to power your AI model.
Today's dating applications are banking the speed of implementing and having millions of options. Users create profiles in a few seconds, sending photos and answering simple questions. Applications then rely on basic information and feedback from user drags to find their potential fittings.
Sitch is aimed at using a more thoughtful approach to the implementation process and uses large language models (LLM) to bring specialist knowledge of a human match to experience in dating application, helping people find potential matches without dragging.
The startup was co -founded by Nandini Mullaji, whose talent to the dating market comes from her grandmother, including the match. She said that while companies such as Match and Bumble dominate in space, people are still dissatisfied and do not receive the desired matches.
“Making is a problem with the data. I was good at deletion because I had much more information about two people than a dating application. The data in these applications are insufficient to say whether two people will have long-term compatibility,” said Mullaji.
Mullaji, a graduate of Stanford Business School, worked on various dating and educational projects, including launching Bumble in India. Co -founder of Chad Depue was a cto anonymous whisper of the social network, and then worked at SNAP.
Mullaji noticed that until recently-when LLM became more and more often available-it was difficult to scale human impressions associated with equipping. Depue added that the purpose of the startup is to separate data from profiles and photos using LLM and show personalized matches.
Basically, Sitch has built the version of Mullaji AI, which helps users on board, asking them details using almost 50 questions that they can answer in the text or voice.
After configuring the profile of Dlater AI Matchmaker, it displays suggested fittings. If both users agree to match each other, the bot adds them to the AI group chat. At any time-after their real terms-users can provide feedback about their matches to improve AI personalization.
“We are constantly surprised and excited how much users trust us when it comes to what users provide when they are on board and later convey feedback,” said Depue. “I think they are also divided much more openly because they know that this data is not publicly made available.”
The startup initially trained its AI models with over 75 matches for matches provided by Mullaji, and used their skills related to matching to understand why he thinks that two people will match. Then the company used feedback from users to scale its models.
To generate matches, Sitch defines compatible and contrasting features between two profile.
The company downloads users for configuration (matching) and sells configurations in three (USD 89.99), five (USD 124.99) and eight (USD 159.99).
Sitch is supported by financing the seeds of $ 5 million from M13 and A16Z Speedrun, and the startup has received $ 7 million so far. Anna Barber, a partner of M13, said that Venture was excited about the vision of a startup using artificial intelligence to build a dating application.
“The way the founders build product maps is how someone would work with a real match. You would call Matchmaker before and after the date and constantly conveying opinions. We felt that the idea of expanding the type of service personalized to a much wider audience, which could not afford a mechmaker,” said Barber by phone.
“Many dating applications behave similarly to mobile games in which they try to expand your attention or play in the user's experience to get involved more, because it leads to greater sales,” she added. “Thanks to Sitch, because users pay from above, the team does not have to focus on these hacks.”
Sitch currently offers its services in New York, but this year it plans to open a store in more cities. The company said that it manually checks all profiles to maintain quality and security.
Startup can have its job because larger companies such as Tinder, Bumble and GrindrThey also pour artificial intelligence in various parts of their application experience.
Sitch deals with the fact that people can move away from applications based on waving, because last year Tinder and Bumble registered a slowdown. In addition, the company is convinced that when users give the application more data and intend to serious dates, it will stand out.
The application is currently available at Apple's App Store.
