Industrial Ecological Infrastructure for Verified Ecosystem Services

Industrial-scale native plant production, data-driven operations, and verified ecosystem services, engineered by an AI-native operating system.

Biome designs and constructs ecological scaffolds, and manages dual ecological trajectories (structural complexity and successional resilience) to guide systems away from degraded states and toward emerging function.

Smart greenhouses and field sites are instrumented with IoT sensors.  Combined with ecological baselines, hydrology data, climate data, UAV imagery, and lidar, BiomeOS generates real-time ecological intelligence.

BiomeOS is an AI-native operating system that manages ecological function through continuous telemetry, dual ecologial trajectories, and reinforcement learning.  It continously adjusts interventions based on real-world feedback and verified outcomes.

Ecological function cannot be learned from observation alone.  Biome's verically integrated, AI-native architecture delivers field interventions, measures the response, and updates policies.  This creates a proprietary closed-loop RL learning environment that gathers ecological intelligence with every site and every intervention.

By engineering the structural complexity needed for emergent function, and managing for uplift trajectories with continuous telemetry and reinforcement learning, Biome's architecture can produce predictable, verified ecosystem services.  PTF contracts then convert to Ecosystem Service Contracts, with long-term ecological value delivered with utility-grade precision and finance-grade certainty.