Consumer apps
We build and run our own mobile apps end to end — product, engineering, live ops. No client work. If an app underperforms, it is our problem.
Ad Tech × AI
We build the apps.
And the AI that pays for them.
Bugalabs is an app publisher. We design, ship, and operate our own consumer mobile apps — and we run the machine learning that monetizes them. Every model we build is tested against a P&L we own.
Bidding
AdMob
resolved by our bid engine
300 × 250 · Medium rectangle
What we do
Three things, and they compound.
We are not an agency and we are not a lab. We own the apps, the users, and the revenue — so every model ships straight into production.
Ad monetization
Our apps run on rewarded inventory — users opt in to watch. The bid engine prices each impression before the auction closes and routes it to whoever will pay the most.
Growth & acquisition
We forecast a user's lifetime value on day one and bid accordingly, then let generative models produce and test the creative that brought them in.
Our apps
Shipped, live, and earning.
These are the apps we operate. They are the proving ground for everything on this page.
MoneyMoney 머니머니
iOS · Android · Korea
A rewards app. People check in, run missions, watch ads, and shop through partners to earn cash — then withdraw it to their bank, Naver Pay, or a gift card. Watching an ad is the product, not an interruption to it.
AI Playground
Android · Prompt market
A curated marketplace for AI prompts that actually work — browse one, run it, and get the result without ever leaving the app. No copy-pasting between four tabs to find out the prompt was mediocre.
VocaSnap
iOS · Education
Photo flashcards for kids learning a language. Point the camera at a cup, a dog, a tree — VocaSnap names it in both languages and turns it into a card they can hear and keep. Built for families, including heritage learners.
Technology
The model decides what the impression is worth.
A mediation waterfall guesses. We would rather know. Our stack scores each impression as it happens and spends the network's money accordingly.
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Predictive eCPM and real-time bidding Value the impression before the auction resolves, then route it to the network that will pay the most for it.
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Reward economics Every impression pays the user something. The model sets what a reward costs against what the impression earns, so the unit economics hold at scale.
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Per-user ad pacing Placement and frequency are set per person. The model holds the line between this month's revenue and next month's retention.
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LTV and churn forecasting Predicted lifetime value on day one sets the acquisition bid, so we stop paying for users who were never going to stay.
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Generative ad creative Variants are produced, shipped, and killed on performance — not on taste.
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No personal data in our models They train on signals, not identities. And they only run where there are ads to place — VocaSnap serves none, so it collects no advertising identifier at all. What each app collects is itemized in our privacy policy.
Demand
Everyone bids. The model picks.
We are integrated with the networks below and authorized to sell through every one of them. You do not have to take our word for it.
Google AdMob
Mediation · Demand
Meta Audience Network
Demand
Unity LevelPlay
Demand
AppLovin
Demand
Pangle
Demand
PubMatic
Exchange
InMobi
Exchange
Every authorization is public in app-ads.txt.
Let's talk.
Whether you run a demand network, publish apps of your own, or want to build this kind of stack with us — write to us. A real person reads it.