AI is not a feature — it is the coordination system that keeps reward economics profitable and controllable. Every layer of the platform runs on intelligence, not rule sets.
Each layer solves a distinct problem. Together they form a self-correcting system that operates with controlled automation and human oversight.
See full ecosystem mapReward economics modeling, predictive allocation, and optimization systems. Determines reward levels, routes users, and forecasts outcomes before they happen.
AI-assisted workflows, monitoring, anomaly detection, and controlled automation. Keeps the system running with minimal manual intervention but full human oversight.
Unified event model, validation/QA, cohort intelligence, and MegaBI analytics. The source of truth that all AI decisions run on.
Guides users through owned & publisher apps: CMS, user management, routing, and payment systems. The connective tissue of the platform.
Fraud detection, IAP protection, LinkProtect.tech, device/location/network security. Embedded at infrastructure level — not added as a bolt-on.
Predict incentive elasticity, retention impact, cohort LTV and sustainable reward levels before deploying.
Route users and offers based on performance signals — not static rules. Adapts in real time.
Continuous monitoring of cohort behavior — spots quality degradation and fraud patterns before they compound.
Balance publisher revenue and advertiser ROAS simultaneously — not sequentially. Dynamic floor pricing.
Not a black box. Every AI decision has a traceable signal. Operators can inspect, override, and audit.
Not fully autonomous. AI augments judgment — people retain oversight. Intelligence removes friction, not accountability.
Not a marketing term. Every function described here is in production — not a roadmap item.