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Physical AI for Autonomous Infrastructure

Unlock Capacity Increase Asset Value Power the AI Economy

Total Value. Realized.
Potential NOI UpliftNet Profit
4–15%
Energy & Demand ReductionNet Zero
15–40%
Flexible Capacity OpportunityNet Positive
~1 MW flex

The infrastructure value gap

Design promises. Operation delivers.
We make them match

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.

Connected infrastructure management systems

The problem is no longer a shortage of data,
but the absence of intelligence able to act on it.

From connected to intelligent

Perceive. Analyse. Optimise. Control. Verify. Learn

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.

  1. 01Perceive
  2. 02Analyse
  3. 03Optimise
  4. 04Control
  5. 05Verify
  6. 06Learn
Physical AI operating loop: perceive, analyse, optimise, control, verify and learn

ATRIA by Senatria

One Physical AI platform.
Intelligence where infrastructure operates

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.

ATRIA platform connecting physical infrastructure, edge computing and outcomes

Physical AI in operation

Real infrastructure
Real intelligence
Real results

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.

Physical AI operating process from asset to verified outcome

Total value. Realized

One intelligence.
Three outcomes

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.

01 / Triple Net Value

Net Profit

Improve operating efficiency, prioritise interventions and make infrastructure value visible to asset and capital decisions.

  • Operating cost
  • Asset performance
  • Capital intelligence
02 / Triple Net Value

Net Zero

Coordinate energy, demand and distributed resources against measurable environmental outcomes and approved targets.

  • Energy
  • Demand
  • Carbon
03 / Triple Net Value

Net Positive

Strengthen resilience, operator effectiveness and the adaptive capacity of the infrastructure people depend on.

  • Resilience
  • People
  • Capacity
ATRIA· Measured· Modelled· Projected· Indicative

Connected value network

Where buildings, grid and
compute move together

Senatria connects the physical systems behind energy, flexibility and compute into one coordinated network — so capacity can move to where it creates the most value.

Buildings, an electrical grid and a data centre connected through one intelligent energy network

Built by operators, engineers and AI technologists

We ran the systems.
Now we are building what they were missing

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 ATRIA to operate safely in the physical environments where performance matters.

The next great AI system will not live only on a screen

Samit Sen

Samit Sen

Founder & Chief Executive Officer

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.

Dr. Aglaia Kong

Dr. Aglaia Kong

Co-founder & Chief AI & Technology Officer

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

Theresa Rynard

Theresa Rynard

Board Member & Chief Operating Officer

Former Global COO / APAC CEO at CBRE. Scaled large-scale portfolio transformation across global assets.

FAQs

Frequently asked questions

What is Physical AI for infrastructure?

Physical AI uses data and models of real operating environments to support decisions and physical action. In infrastructure, this can connect monitoring, optimisation, control and outcome verification. Senatria applies this approach through ATRIA, with permissions and operating boundaries governing what the system can do.

How can we start evaluating an opportunity?

Use the Discover Your Value form to share your asset or portfolio type, location, approximate scale and operating challenge. The Senatria team can then discuss the available data, relevant systems and the scope of an initial assessment.

How does this show up on my balance sheet?

Every performance gain is translated into financial impact NOI, yield and asset value in real time, per building, on the Value Ledger. Typical NOI uplift is 4–10% per asset. At a 6.5% cap rate, every $1M of NOI improvement creates $15M+ of asset value.

How quickly do we see results?

Initial performance improvements are typically visible within weeks, with compounding gains over time as the system learns continuously.

Your infrastructure is already generating data.
What value is it not generating?

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.