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ToolIris Dating/10 trustMetrics-checked
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Iris Dating

AI matchmaking that learns the faces you actually find attractive.

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About

Iris Dating is an AI-first dating app that tries to learn what you actually find attractive instead of asking you to state a type. New users train the AI by rating stock photos, and the app builds a model of facial attraction patterns that it refines from ongoing swipes, then only shows profiles with a high predicted mutual attraction. The company says this short training process sharply raises the share of shown photos a user finds attractive, and that mutual matches are far likelier than with random matching.

Founded by CEO Igor Khalatian, Iris reported 2 million users in 2023 and says its selfie-verification system has blocked hundreds of thousands of potential catfishers. The app also uses ChatGPT to help members write bios and opening lines. Coverage has noted the obvious open question: an AI trained on your past swipes can entrench narrow patterns, including racial and body-type bias, which the company says it addresses through diverse training data.

What it can do

  • AttractionDNA facial-preference learning from photo ratings
  • Curated matches ranked by predicted mutual attraction
  • Mandatory selfie verification and trust ratings
  • ChatGPT-assisted bios and opening lines
  • Continuous learning from swipe behavior
  • Free app

Setup

  1. Download Iris from the App Store or Google Play.
  2. Create a profile with a live selfie for verification.
  3. Train the AI by rating the photos it shows you.
  4. Browse your curated matches and use the ChatGPT-assisted bio and opener tools.

Prerequisites

iOS or Android device; a live selfie for verification.

Use cases

datingai-matchmakingsocial-discoveryattraction-modeling

Works with

Trust score — 6/10

/10 trustMetrics-checked

Scored 6/10 (metrics tier, metrics-v1). Evidence: 2M users reported 2023 (Global Dating Insights); selfie-verification anti-catfish system (BusinessWire, 2022); covered by Refinery29 and AI Business. Strengths: genuinely novel AI-first approach, real user scale, anti-fraud investment. Docked for: (1) mutual-attraction lift figures are vendor-reported; (2) bias concerns around attraction-pattern training remain unresolved publicly. License: proprietary.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
6.0/10
Maintenance · recency, releases, issue load
6.0/10
Openness · license + docs
6.0/10
Manual review · sanity read + red-flag check
6.0/10
  • · 2M users reported 2023 (Global Dating Insights)
  • · Selfie-verification anti-catfish system (BusinessWire, 2022)
  • · Covered by Refinery29, AI Business, swipestats.io

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.