SuperAI
SuperAI is the agentic execution layer for mobile publishing. It detects spend opportunities, reallocates budget, and optimizes campaigns 24/7 — across every network you've connected, not just one.
Trained to perform 80–90% of day-to-day publishing tasks.
80–90%
of day-to-day publishing tasks performed by SuperAI agents
24/7
execution across every connected network
35+
networks under SuperScale's managed access
Decisions today
247
+18Spend optimized
$4.2M
+6%Networks
25
Scaled Meta budget +18%
D7 ROAS at 79% — peak cohort
Paused 4 underperformers
TikTok creatives below 35% target
Reallocated $12k to AppLovin
Incrementality lift detected
iOS SKAN reconciled
7 campaigns, 2.3M users
What it does
SuperAI continuously monitors campaigns across every connected network, reallocating budget toward best-performing channels in real time. It catches ROAS inflection points, kills underperformers, and scales winners inside the spend limits you set, with no human in the loop unless one is needed.
Most analytics tools surface insight and stop there. SuperAI takes the next step: it makes the decision and executes. Budget shifts, bid adjustments, opportunity detection — the agentic layer turns reports into actions.
Because SuperAI runs above the networks, not inside any one of them, it can compare incrementality, detect channel cannibalization, and identify when a campaign on one network is undermining performance on another. The view a single-network AI cannot see.
SuperAI replaces the day-to-day work of UA analysts, performance managers, and reporting specialists. SuperScale has trained its agents to perform 80–90% of routine publishing tasks. Your team stops doing data plumbing and starts doing strategy.
The cross-network difference
The most powerful AI engines in mobile growth today are tied to inventory. AppLovin's Axon makes AppLovin's MAX inventory work harder. Liftoff's Cortex does the same for Liftoff's exchange. Moloco's ML for Moloco's programmatic reach. Each one is genuinely sophisticated — and each one is a black box optimizing inside a single channel.
That works if your UA strategy is "spend more on one network." It doesn't work when:
SuperAI is the first AI execution layer built to optimize across networks, not within one. It runs your UA the way a sophisticated team would — at machine speed, 24/7, across every channel you've connected.
Single-network AIs
Each engine optimizes inside its own inventory. Cannot see across channels.
SuperAI · cross-network
SuperAI
orchestrating execution layer
One unified output. Cross-network incrementality, anti-cannibalization, ROAS comparison.
The agents
SuperAI runs as a coordinated team of specialist agents, each trained for a specific publishing function. They work together, the way a real ops team would.
These aren't chatbots. They're trained, evaluated, and deployed as operational software — accountable to specific outcomes.
The architecture
AI is only as good as the data it operates on. And decisions are only as good as the channels they can act through.
That's why SuperAI sits in the middle of the SuperScale Stack — a three-layer system:
One app, built from widgets
The agentic AI workforce
Semantic data layer · single source of truth
35+ networks, fully managed — 8% management fee
The loop
SuperAI runs a loop: trusted data → decision → action across your networks → results measured back into the data. Most tools do one segment of that and stop. SuperAI closes the loop — and then compounds it. Every campaign it runs, every decision it records is scored against what actually happened, and every test it reads makes the next decision sharper. Over $100M of measured UA spend has already been through the loop.
Walled gardens run self-improving loops too — for their own revenue. This one improves on your data, for your profit, inside your guardrails.
Why this, why now
Three shifts are making AI-native publishing operations inevitable:
Revenue is concentrating. A shrinking number of titles capture a growing share of mobile revenue. The optimization edge that used to be a "nice to have" is now the difference between profit and loss.
UA is harder than ever. iOS privacy changes have made measurement more technical and less forgiving. Channel fragmentation has made cross-network execution a full-time job. Most teams can't staff for it.
Hiring is no longer the answer. Publishers can't simply add analysts, data engineers, and UA managers fast enough to keep up with how the ecosystem fragments. The work has to be absorbed, not delegated.
SuperAI is what absorption looks like. It's not an AI feature added to a legacy stack. It's the replacement of the legacy stack — priced not on seats, but on outcomes.
SuperAI is the AI workforce that runs UA the way you'd want a senior team to run it — across every channel you've connected, 24/7, accountable to outcomes.
FAQ
Works for publishers of all sizes — from growth-stage studios to global enterprise teams. Let's talk about what SuperScale can do for your games.
