This public shelf covers simulation-first operations, spatial-temporal reconstruction, and bounded physical-AI development. The host runtime remains authoritative; a model, planner, or evaluator can observe, propose, and be measured without silently mutating the world.
Simulation is a development and evaluation surface, not proof of hardware capability. A replay, mock run, or MuJoCo result can demonstrate a bounded contract while leaving real hardware, trained-model performance, and deployment readiness as separate questions.
Simulation, reconstruction, and physical-AI development each keep their evidence and authority boundaries visible.
CHAINSIGHT models an industrial operations world for observe, validate, forecast, simulate, govern, commit, verify, and reconcile loops.
It is not an ERP, MES, WMS, TMS, safety controller, or physical-autonomy claim.
STRATA reconstructs the same physical place across time from maps, photographs, terrain, records, geometry, and historical documents while keeping evidence, uncertainty, and competing branches separate.
A source or assertion is not silently promoted into historical truth.
A bounded development surface for objective-to-capability-graph planning, simulated bimanual table operations, vision, routing, verification, and evidence receipts.
The public evidence covers mock mode and simulation. Hardware performance, trained-VLA capability, and universal household behavior remain outside the claim.
A bounded evaluation surface for long-horizon behavior under partial information, with evaluator-held ground truth and host-owned world state.
Harness evidence is not a production deployment or universal model capability claim.
The public development story is strongest when every step has an owner and an evidence tier.
The system receives an explicit observation or fixture instead of an unexamined world snapshot.
A model or planner produces a candidate action, capability graph, or explanation—not authority.
Policy, environment rules, and the selected host runtime validate whether an action can be applied.
Receipts, replay, and outcome analysis test the chain without upgrading a simulation into a deployment claim.
This page does not claim a proprietary public game engine, a trained household robot, a hardware-ready controller, or a production deployment. It describes the public development and evaluation surfaces that are actually exposed.
