The current model —LLMs running on massive GPU clusters— does not scale economically, environmentally, or geopolitically. Energy costs are exploding, cloud concentration is increasing systemic risk, and regulators are beginning to question the sustainability of centralized AI infrastructure.
At the same time, a new demand is emerging: millions of autonomous agents operating across edge devices, decentralized networks, and sovereign environments—where GPUs, cloud access, and high energy budgets are not viable. This creates a clear gap in the market.
A deterministic, ultra-low compute agent language designed to scale intelligence without scaling energy consumption. As AI becomes heavier, the winning infrastructure will be lighter.
