The next generation of physical systems will be defined by intelligence.
iphysys exists to develop the software intelligence that lets autonomous,
distributed, and mission-aware systems be safe, useful, and trustworthy
in the real world.
Sensors are now ubiquitous. Compute can be placed almost anywhere.
Networked physical systems are increasingly distributed, asynchronous,
and operating under uncertainty that traditional control stacks were not
designed for. AI systems trained primarily for digital tasks rarely carry
the safety properties needed when their decisions affect physical reality.
The result is a gap: a generation of physical systems that need a different
kind of intelligence — one that is distributed, edge-native, mission-aware,
and engineered for trust.
Our thesis
The next generation of physical systems will not be defined solely by hardware
excellence, but by the intelligence that enables them to perceive, reason,
coordinate, and adapt.
Layers of intelligence for physical systems
Physical Assets — Robots, machines, infrastructure, sensors in the real world.
Sensing — Heterogeneous signals captured continuously from the environment.
Perception — Turning raw signals into structured understanding of state.
Reasoning — Models that anticipate, plan, and evaluate alternatives.
Coordination — Distributed decision making across agents and subsystems.
Decision Support — Surfacing options, risks, and confidence to operators.
Human Oversight — Operators stay in the loop, with intent and accountability.
Long-term vision
Industrial Autonomy — Self-coordinating production lines, energy systems, logistics.
Robotics — Fleets of mobile and manipulating robots operating with shared context.
Critical Infrastructure — Resilient sensing and decision support for civil systems.
Mission-Critical Environments — Defence and other domains where engineering rigor is non-negotiable.