Physical Intelligence
Observe physical state. Interpret condition and uncertainty.
Combine evidence and context to anticipate credible change, support timely action and expose what is still unknown.
Physical Intelligence & Assurance
See the real condition.
Anticipate what comes next.
Act with confidence.
Quanteon turns fragmented physical-world evidence into a living, governed operational picture. Human authority remains explicit. Robots are evidence endpoints, not the decision maker.
Robots are optional. Assurance is not.
- Physical evidence
- Explicit uncertainty
- Human authority
- Bounded action
The operating pressure
Critical operations still run on fragmented physical truth.
Evidence is dispersed across instrumentation, manual rounds, specialist inspections, control systems, maintenance history, engineering limits and operating context. When it is not aligned by asset, time, configuration and confidence, every important decision begins with reconciliation.
Selected industry evidence
- 27 h Average monthly unplanned downtime per large site in Siemens' 2024 industrial survey. 181 maintenance, engineering and IT professionals; not a universal infrastructure benchmark.
- ~60% Energy companies in the IEA survey reporting labour shortages. Energy-sector evidence; it does not imply direct labour replacement by robots.
- Up to 4 y Lead time reported by the IEA for large power transformers. Global industry evidence; actual lead times vary by equipment and market.
Dashboards show connected data. Static twins describe an engineered state. Point robots collect another stream of evidence. AI identifies patterns.
None of them alone establishes what is physically true, what remains uncertain and what action is justified.
The category
Physical Intelligence creates understanding. Assurance establishes confidence.
Assurance
Establish why the system and resulting decision remain fit for purpose.
Control evidence quality, configuration, authority, operating limits, change and requalification over the lifecycle.
A working machine does not automatically create an assured operational capability.
The governed assurance loop
One loop from the asset question to evidence-backed action.
Local operational controls, permits, machine safety functions and customer authority remain authoritative throughout.
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01
Define
Frame the asset question, consequence, mission boundary and acceptance criteria.
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02
Observe
Combine human, fixed, mobile and robotic evidence with operating context.
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03
Reconcile
Update state, provenance, configuration, confidence and unresolved gaps.
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04
Reason
Use physics, probability, AI and expert challenge where each is valid.
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05
Act
Authorise bounded action or escalate to the accountable human authority.
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06
Learn
Preserve evidence, reasoning, approval, action and outcome for requalification.
Configuration control
Cybersecurity
Data lineage
Verification
Change control
Every observation updates state. Every action updates evidence.
Operational memory · not a static 3D model
Living digital twin
The twin knows what is known, what is uncertain and what evidence is missing.
A Quanteon living twin is a versioned, time-aware and uncertainty-aware operational representation continuously reconciled with available reality.
- What the asset is
- Configuration, function, interfaces and operating limits
- What it is doing
- Current state, load and environmental context
- What is known
- Evidence, source, calibration, validity and provenance
- What remains uncertain
- Conflicts, competing hypotheses and missing observations
- What changed
- State transitions, interventions, approvals and outcomes
- What should happen next
- Mission context, evidence gaps and decision authority
Hybrid intelligence
The right method for the right question.
Deterministic
Physics, logic, thresholds, procedures and operating envelopes where rules are known.
Probabilistic
Reliability, evidence weighting, competing hypotheses and risk where uncertainty matters.
AI-enabled
Perception, extraction, anomaly detection, classification and forecasting where patterns are complex.
Human authority
Interpretation, challenge and accountable approval where consequence is high.
AI contributes evidence. It does not sign the safety decision.
Evidence ecosystem
Persistent context and targeted reach in one evidence system.
The twin aligns every observation by asset, time, location, configuration and confidence. Select a source to see its role.
Continuous baseline
Fixed systems show trends and early change.
SCADA, historian and permanent condition-monitoring data establish operating context and persistent signals.
- Trend and state history
- Alarm and load context
- Known sampling and quality limits
Judgement and exceptions
People contribute context that instruments cannot infer alone.
Operator observations, specialist findings and accountable interpretation remain explicit evidence inputs.
- Inspection and operator observations
- Qualified specialist interpretation
- Decision and approval record
Targeted reach
Portable instruments close a specific information gap.
Temporary and handheld measurements add repeatable evidence without committing to permanent infrastructure.
- Targeted measurement campaigns
- Known setup and calibration
- Spatial context attached to the asset
Remote, repeatable capture
Robots extend reach while people retain authority.
Air, ground, surface and subsea systems execute a bounded mission and return controlled evidence to the same twin.
- Route and checkpoint completion
- Payload and configuration traceability
- Escalation outside the approved envelope
Why the reading matters
Configuration and operating context prevent false certainty.
OT, EAM, drawings, work history, weather and mission constraints define whether a reading is comparable and valid.
- Asset hierarchy and configuration
- Operating load and environment
- Maintenance and intervention history
Mission examples
Begin with the operational outcome, not the machine.
These are mission patterns, not claims of completed Quanteon deployments. Filter by operating domain.
Showing all mission examples.
Industrial
Recurring operator rounds
Visual, thermal, acoustic and gauge evidence collected on a controlled route with exceptions escalated to people.
Energy
Targeted condition investigation
Repeat measurement and anomaly investigation around a known concern, tied to configuration and operating state.
Human + sensing
Persistent asset assurance
Fixed monitoring combined with scheduled mobile measurement, expert review and traceable maintenance action.
Security
Security assurance
Alarm verification, restricted-area patrol evidence and a common incident picture while people retain response authority.
Resilience
Response and recovery
Storm, flood, fire or outage reconnaissance that preserves what changed, where it changed and who authorised the next action.
Marine
Marine and waterside assurance
Dam, reservoir, intake, outlet and waterfront evidence across fixed, surface and subsea sensing.
Q-Field roadmap
Delivered now. Productised over time.
Quanteon is developing a coherent family of twin-native air, ground, surface, subsea and future humanoid endpoints. Early projects remain vendor-neutral.
Concept image · roadmap, not a deployed product fleet
Project capability available today
- Mission and requirements engineering
- Failure logic and acceptance definition
- Fixed and mobile sensing integration
- Robot and payload integration
- Customer and partner twin platforms
- Hybrid analysis using proven tools
- Assurance, cyber and readiness
- Bounded pilots and managed delivery
Product intentions requiring proof
- Quanteon living-twin core
- Reusable mission and failure libraries
- Native multi-vendor connectors
- Bidirectional mission orchestration
- Automated evidence and confidence ledger
- Cross-site learning and portfolio intelligence
- Qualified Quanteon field-system variants
- Supervised closed-loop intervention
Roadmap items are product intentions, not claims of current certification, deployment or autonomous safety authority. Proprietary chassis development begins only when repeated paid missions prove an unmet requirement.
Start with one decision
Assured Mission Baseline
A bounded engagement to decide whether one critical mission should proceed, reshape or stop.
- Mission, decision and accountable-authority definition
- Current evidence, route and gap map
- Failure modes and critical-signal logic
- Living-twin and target workflow architecture
- Safety, cybersecurity and authority constraints
- Acceptance criteria, first economics and validation proposal
No hardware procurement, formal conformity assessment, detailed engineering or guaranteed ROI is included.
Evidence and claims
Evidence before promise.
Quanteon separates industry evidence, current capability, roadmap intent and customer-specific validation. Precision is part of the product.
What we can substantiate
- Critical-asset operators face ageing equipment and scarce specialist capacity.
- Robots and drones are already collecting evidence in real industrial environments.
- Measurement quality, domain expertise and human oversight remain decisive.
- Mission acceptance must be defined by hazards, evidence and operating limits.
- Quanteon can deliver bounded mission engineering, integration and assurance work today.
What we do not claim
- A finished universal operating system
- A certified Quanteon production fleet
- Autonomous safety sign-off or plant authority
- That a sensor reading is automatically a diagnosis
- A guaranteed ROI before a mission is baselined and validated
Selected evidence sources and boundaries
Siemens / Senseye, The True Cost of Downtime 2024. Industrial survey evidence for downtime and recovery, not a universal critical-infrastructure benchmark. Source
IEA, World Energy Employment 2025. Energy-sector labour-shortage and retirement evidence. Source
IEA, Building the Future Transmission Grid. Transformer and cable lead-time evidence. Source
IAEA, Considerations for Deploying AI Applications in Nuclear Power, 2025. Human-oversight and domain-expertise principle in a nuclear context. Source
IFR, World Robotics 2025 Service Robots. Roughly 2,800 inspection and maintenance robots recorded in 2024; survey coverage changes between editions. Source
EPRI, Landscape of Automation in Nuclear Power Plants. Benefits and adoption barriers for automation in nuclear operations. Source
Bring us one mission that matters
Start with one asset group, one route and one operational decision.
We will frame the evidence, authority, acceptance and economics before anyone buys hardware or promises autonomy.
Benjamin Regener
Founder & CEO, Quanteon GmbH
Bahnhofstrasse 22
8001 Zürich, Switzerland