Adaptive Control for Interactive Software

GameRamp is an applied-research and engineering group building the decision layer for live digital products.

Our thesis: reinforcement-learning agents can allocate content, prices, and capital in real time - so every user path is continuously optimised for retention and cash flow.

Why we start with games
Games generate the densest, fastest feedback loops in consumer tech. Solve control here and the same policies translate to commerce, media, and finance.

Scientific pillars
· Closed-loop control → sequential business choices
· Long-horizon value functions → cash-impact of micro-actions
· Off-policy evaluation → ship improvements with provable upside

More about us
We have raised institutional capital to deepen research, expand simulation infrastructure, and ship a lightweight SDK for partner studios.
We are AI researchers, investors, engineers, and analysts obsessed with turning control theory into production economics.