Fake profile detection
Fake accounts are removed before matching using repeat image scans and behaviour patterns.
A dating app's real job is trust.
AI-Powered Safe Social Discovery
Verification before matching: fake profile and fraud signal detection, liveness checks, harassment filtering and location privacy. We built the product, payments, moderation and scaling from end to end.
The problem
Matching is not the real problem with dating apps.
People think the hard technical part of a dating app is the matching algorithm. It is not. The hard part is knowing the person opposite you is really who they say they are. For women users, that can decide whether the app gets used at all.
Without trust, a product does not grow: the user arrives, has a few bad experiences and deletes it. The ad budget goes with those deleted users.
Trust layer
Verification before matching, protection after matching. Trust is not a feature of the product. It is the foundation.
Liveness check
We verify that the profile photo belongs to a real person. A badge confirms it.
Fraud signal
It spots requests for money and attempts to move conversations off-platform.
Harassment filter
Inappropriate messages and images are flagged before delivery. You decide what happens next.
Compatibility analysis
Match through lifestyle and conversation compatibility, rather than photos alone.
Location privacy
You see an approximate distance. Your exact location is never shared.
Who is it for
Those who want to know the person opposite is real.
Users tired of fake profiles
Those who want to know the person opposite is really them.
Those who leave apps for security reasons
Users who gave up because of harassment or scam attempts.
Those who do not want to share their location
Those who want to use proximity without sharing their exact address.
Live demo
Sample run · no real data
Profile verification
0
Trust score
Calculating…
Calculating…
- ✓Liveness check
- ✓Repeat image scan
- ✓Fraud language model
- ✓Device and location consistency
Sample verification flow
How it works
Four steps.
01
Sign up
A liveness check runs when you create an account. Verified profiles get a badge.
02
Match
Compatibility and trust scores work together. Low-scoring accounts stay out of view.
03
Speak
Messages are scanned in real time for signs of harassment and fraud.
04
Notify
Report with one tap. The moderation queue handles urgent cases first.
Technology
What it runs on.
- Flutter
- Go
- Image moderation
- Text classification
- Play Store
- Payment
Client in Flutter, services in Go. Image and text moderation run in our own infrastructure, with human review added to moderation decisions. We built and run the full chain, including payments, subscriptions and store release.
Gallery
FAQ
What you may want to know before we talk.
How does liveness verification work?
It asks for a short movement and verifies that the photo was taken live. You cannot create a profile with an image downloaded from the internet.
What does the verified badge mean?
It means the face matches the profile photo and was captured live. It does not verify what the person says. We state this clearly in the app.
How much of my location is visible?
You see an approximate distance, not an exact location. You set the distance range.
What happens if a harassment message arrives?
The filter catches the message before it is sent. If anything gets through, you can report it with one tap and receive the review result.
Which platform?
Android, via Google Play. We are not giving a date for iOS.
Contact
Something like this?
do you want to build?
Tell us in one sentence. We will explain what you need and how long it will take.