Related games.
Show players games that share the mechanics, themes, and experiences that make a title appealing, not just its genre or popularity.
For recommendation services
You run the storefront, discovery tool, or personalization service. Iridae supplies what it needs most: a queryable understanding of how games relate, so you can go beyond genres, tags, and popularity.
Built on 150 million observations across 150,000 PC games. The ranking logic stays yours.
Foundation
Genre labels and tags miss why players love a game. Two games can share a genre and feel completely different; others look nothing alike yet appeal for the same reasons.
Together they form a continuous space where games relate by mechanics, themes, and experience. You query it. You don't build or maintain it.
Iridae gives your system that understanding, mapped from 150 million observations:
Validation
A game space is only useful if distance means something. We tested ours against behavior it wasn't built to predict: which games the same players like and review. Every link is measured against a popularity baseline, so blockbusters can't inflate the result.
Players who like the same games move through the same neighborhoods.
Discovery
Each is a query against the same game space.
Show players games that share the mechanics, themes, and experiences that make a title appealing, not just its genre or popularity.
Take five games a player loves. Find what they share, spot distinct clusters of taste, and recommend games near each.
Let players steer: the exploration and progression of one game, with less multiplayer. Hold what matters; change the rest.
Two players can love the same game for different reasons. Retrieve candidates from the game geometry, then re-rank them by each player’s learned preferences.
Your rules
Those experiences are starting points, not fixed features.
A storefront, a community tool, and a personalized service each define a good recommendation differently: familiar mechanics, surprise, or a balance of interests.
Iridae doesn't impose one. You define how recommendations are made.
Configure what goes into a search, which characteristics matter, and how results are selected and ranked, and keep control of how they're presented.
Weight mechanics, themes, modes, and more. Favor cooperative progression over visuals, or keep a combat style in a new setting.
Start from one favorite or many. Find common ground, separate clusters, or weighted blends.
Set requirements, exclude traits, control how closely results follow the originals, and re-rank by learned preference.
Variety for a community of overlooked games, tight mechanics for a specialist tool. Same intelligence, different recommendations.
The intelligence is shared. The discovery logic is yours.
Performance
150 similar games. 3 milliseconds. Across 150,000 PC titles.
Nearest-neighbor search keeps a large catalog practical to query per request. Send a title, favorites, or a set of preferences, get candidates in milliseconds, then apply your rules.
Iridae returns candidates through an API; you merge your own signals and present the results your way. Use it for related-game rails, personalized feeds, conversational search, or curated collections, without building your own game intelligence.
Pricing
From first integration to platform scale. Start small and grow with usage.
Independent developers and early-stage products.
Usage-based pricing for smaller volumes. Build a focused feature and test your rules.
Explore accessEstablished tools and discovery services.
Higher usage tiers and volume pricing, without building your own game intelligence.
Discuss pricingStores, platforms, and large-scale integrations.
Commercial agreements for your traffic and integration needs. Keep control of your discovery experience.
Talk to usPlayers don't think about games in neat categories, and your recommendations shouldn't either.
You bring the product and the rules. Iridae brings the understanding of games and the speed to use it.