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.

Our foundational beliefs
· Closed-loop control → sequential business choices
· Long-horizon value functions → cash-impact of micro-actions
· Off-policy evaluation → ship improvements with provable upside
· Make capital access dynamic so great products scale faster

More about us
We have raised institutional capital to deepen research, expand simulation infrastructure, and deliver results to our early partners

We are AI researchers, investors, engineers, and analysts obsessed with turning control theory into production economics.

If that mission speaks to you, reach out to us on the links below

—Team GameRamp