Net Profit
Improve operating efficiency, prioritise interventions and make infrastructure value visible to asset and capital decisions.
- Operating cost
- Asset performance
- Capital intelligence

Physical AI for Autonomous Infrastructure.
The infrastructure value gap
An asset's design specifies the performance it should reach. Its operation decides what actually arrives. Between them sit thousands of connected systems, each aware of only its own corner, so decisions fragment, maintenance turns reactive, energy and demand charges climb, and real operating and grid capacity goes unseen.

The problem is no longer a shortage of data,
but the absence of intelligence able to act on it.
From connected to intelligent
This is Physical AI: intelligence that understands a real physical environment, anticipates what comes next and acts safely within approved boundaries. It transforms connected infrastructure into Sentient Infrastructure.

Physical AI in operation
ATRIA is being deployed in operating infrastructure—connecting to existing systems, identifying hidden performance opportunities and enabling controlled action against real operating conditions. Every published result is clearly distinguished as Measured, Modelled, Projected or Indicative.
Explore the deployment →
Physical AI in operation
Total value. Realized.
Senatria coordinates infrastructure decisions around financial, environmental and broader operating value. VERITAS discovers where value is being lost, establishes the baseline and attributes the outcome.
Improve operating efficiency, prioritise interventions and make infrastructure value visible to asset and capital decisions.
Coordinate energy, demand and distributed resources against measurable environmental outcomes and approved targets.
Strengthen resilience, operator effectiveness and the adaptive capacity of the infrastructure people depend on.
ATRIA by Senatria
AI software provides the intelligence. Edge computing connects that intelligence to the physical world. ATRIA brings both together—perceiving conditions, coordinating decisions and enabling governed action in real time.
ATRIAOne platform. Multiple outcomes.
The same Physical AI foundation scales from one asset to an entire portfolio. BuildingShield creates coordinated intelligence inside the building. GridShield extends it across flexible demand and distributed energy.

Works with what you already own
Senatria connects to the BMS, metering, HVAC, storage, solar, EV and enterprise systems already in place. Intelligence operates within explicit boundaries, with human approval where required, secure edge control, complete auditability and enterprise governance.

Identity, access and data handling
Boundaries, approvals and fail-safe behaviour
Edge resilience and continuity
Baseline, method and attribution
Permissions and audit trail
Built by operators, engineers and AI technologists
Senatria brings together decades of experience in buildings, controls, energy and enterprise infrastructure with a new generation of Physical AI, edge computing and autonomous optimisation. Our team is building NERVE to operate safely in the physical environments where performance matters.
The next great AI system will not live only on a screen.

Category creator for enterprise AI in the built world. Scaled JCI to $70M+ ARR as Global VP and built enterprise AI platforms at global scale.

Pioneer of enterprise AI systems. Former Global CTO at Google and founder of multiple deep-tech AI ventures.

Former Global COO / APAC CEO at CBRE. Scaled large-scale portfolio transformation across global assets.
Accountable for company direction, customer outcomes, delivery quality, governance and the commercialisation of Senatria’s Physical AI platform.
Builds the intelligence, software, edge, integration and assurance systems required for NERVE to operate safely in real physical environments.
Start with an evidence-led assessment of your infrastructure, operations and energy environment. Senatria identifies where value is being lost, what can be improved and which opportunities justify action.