Every floor it reaches. One stack, from model to machine to plant.
Delta 1.0 World Action Model
Delta 1.0 places a world action model inside every agent. It reads the physical scene, anticipates what happens next, and selects the action — no task-specific scripting, no brittle rule trees, no retraining for every new SKU.
Swarm Intelligence Model
The swarm layer pairs every task with the right robot regardless of physical form, balances load across the fleet, and re-plans the instant conditions change — one decision, many machines.
Hardware Orchestration Layer
A vendor-neutral layer executes the swarm's decisions on real hardware—any arm, AMR, AGV, or fixed cell—with deterministic timing on the factory floor, not in simulation.
Delta 1.0→ Swarm → Orchestration. The stack that turns any robot into a working agent.
Data → Perception → Action → Closed loop.
The layer that turns working agents into measurable plant performance.
Four deployment patterns. One stack underneath. Same model, same swarm, same orchestration — shaped to the way your operation actually runs.
Built for the machine itself, the system enables a single unit to see, decide, and act on its own—reading its own state, holding its own task, and closing its own loop with greater precision, speed, and independence.
Built for the fleet, the system enables machines to act with machines—handing off work, re-allocating tasks, and re-planning routes as conditions change, with greater throughput, safety, and resilience.
Built for shared judgement, the system enables machines and people to work from one picture—perceiving condition, resolving it into context, and confirming what happens next, with greater foresight, traceability, and trust.
Engineered for the whole operation, the system enables the physical world to self-evolve, self-coordinate, and self-act—perceiving change, adapting conditions, and executing complex operations with greater autonomy, reliability, and precision.
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