Smitten App Leads eID Verification for User Safety with Signicat

Published Date : 10/30/2025 

Smitten, a dating app targeting Gen-Z users, is the first to introduce user verification through a national electronic identity (eID) in Sweden, provided by Signicat and leveraging BankID. This move aims to combat fake profiles and ensure a safer, more genuine dating experience. 

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Frequently Asked Questions (FAQS): 

Q: What is BankID and how is it used in Sweden?

A: BankID is an online identification system developed by Swedish banks and used by 99.9 percent of all adult Swedes. It is considered the most widely adopted voluntary digital ID scheme in the world, allowing users to access services from 20 different industries.

Q: How does Smitten’s eID verification work?

A: Smitten users can verify their identity and age through BankID, which is integrated into the app via Signicat's technology. Once verified, users can choose to interact only with other verified profiles, creating a safer and more transparent dating experience.

Q: Who are the founders of Smitten?

A: Smitten was founded in Iceland by David Simonarson and Asgeir Visir. The app is currently present in large cities across Denmark, Sweden, Norway, and Iceland, targeting Gen-Z users with features such as mini-games and double dating profiles.

Q: What is the significance of Signicat being named to the 'Europe’s Long-Term Growth Champions' list?

A: Being named to the 'Europe’s Long-Term Growth Champions' list by the Financial Times and Statista for the second consecutive year highlights Signicat’s sustained growth and success in the digital identity market. It reflects the company's 37 percent compound annual growth rate and 2023 revenues of 96.5 million euros.

Q: How does eID verification help combat AI-driven identity fraud?

A: eID verification, like the one provided by BankID and integrated into Smitten, ensures that users are who they claim to be, reducing the risk of fake profiles and scams. This is particularly important in the context of increasing AI-driven identity fraud, as it provides a higher level of trust and security for users. 

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