PYTHOLOGY · PHYSICAL INTELLIGENCE
Already have sensors or equipment data? Physical Intelligence is being developed to monitor approved data feeds as they change, learn normal operating behaviour, flag meaningful departures and help people investigate what may be happening before an issue becomes harder to manage.
For manufacturers, engineers, facilities teams, water and energy operators, growers, researchers and smaller organisations alike: from one pump or refrigeration unit to a building, bridge, greenhouse or whole monitored site. Where useful measurements exist, we can assess a secure read-only connection, ongoing observations, historical comparisons and a private evidence dashboard.
Working deterministic Rust engine and synthetic laboratory. Real-equipment monitoring requires a scoped integration and separate validation; none is claimed to be live on this page.
WHO IT'S FOR · WHAT YOU COULD WATCH
You do not need to be a large industrial operator. If you own or manage a system that produces useful measurements, we can explore whether those readings support an ongoing, read-only monitoring pilot and a clearer view of change over time.
Pumps, motors, compressors, refrigeration, HVAC, production lines and other instrumented equipment. Look for changes in vibration, heat, energy use, loading or performance relative to operating conditions.
POTENTIAL MONITORING APPLICATIONBuildings, bridges, reservoirs, water networks, power equipment and plant rooms. Review temperature, strain, pressure, displacement, flow or other appropriate measurements—alongside qualified engineering assessment.
POTENTIAL MONITORING APPLICATIONGreenhouses, storage facilities, irrigation, climate controls and environmental stations. Examine sensor changes, seasonal baselines and operating patterns rather than relying on isolated readings.
POTENTIAL MONITORING APPLICATIONUniversities, laboratories, workshops or a single equipment owner with a measured problem. A small, permissioned dataset or approved sensor stream may be enough to scope a useful demonstration.
NO-OBLIGATION FEASIBILITY DISCUSSIONLive feed integration is not universal or automatic. Sensors, secure access, data quality, model suitability and independent testing determine what can be delivered. Current public experimental results remain simulation-based.
FROM SENSOR TO EVIDENCE
Instead of replacing existing monitoring, we propose a secure, read-only companion that can receive approved telemetry and investigate changes alongside the owner's established systems.
Vibration, temperatures, pressure, strain, current, displacement, flow and other suitable measurements.
Depending on the system: HTTP ingestion, MQTT, WebSocket or mapped historical files. Gateway and security work may be needed.
Validate units and timing; compare operating modes, baselines and constraints; produce anomalies and competing hypotheses.
Show readings, evidence, uncertainties and research findings for authorised reviewers—not automatic control decisions.
ONE INVESTIGATION FOUNDATION · DIFFERENT ENGINEERING DISCIPLINES
Different systems need different sensors, constraints and domain specialists. The common thread is traceable observations, reproducible analysis and clear evidence limits.
Investigate vibration spectra, heating, changes under load and possible bearing or pump faults. This is the most developed current simulation domain.
SIMULATED ENGINE DEMONSTRATEDExplore strain, displacement and vibration against validated structural models. Our George Washington Bridge workbench currently uses conceptual and idealised models only.
STRUCTURAL METHODS RESEARCHStudy instrumented responses to loading, pressure, seepage or machinery operation—only with permissioned data and appropriately qualified review.
PROPOSED APPLICATIONInvestigate mechanical or thermal degradation in recorded or authorised telemetry. Safety-critical aviation or transport use needs independent validation and regulatory compliance.
PROPOSED APPLICATIONTHE RESEARCH RECORD
No invented deployments, no simulated outputs presented as field data. Our development record distinguishes working code from hypothetical use cases.
Two seeded, controlled motor/pump simulations produced first findings ahead of their static alarm thresholds. Replay of seed 1 was identical across tested playback speeds.
These are two authored simulation runs—not a field accuracy rate, a quantified false-positive rate or evidence of reliability under sensor noise. Independent machinery data and stress tests are next.
Our George Washington Bridge research workbench includes a sourced conceptual bridge, a separate textbook beam benchmark and an idealised cable-and-hanger force-balance experiment.
The computations are independently testable, but the assumed sag, loads and structural properties are not calibrated to the real George Washington Bridge. We have no real bridge structural telemetry and make no safety assessment.
Next: deck–cable coupling, more rigorous structural mechanics, independent data and a commissioned structural sensor model.
NO-OBLIGATION DISCOVERY & DEMONSTRATION
You don't need to commit to a deployment to explore an idea. We can discuss the equipment and available data, agree a small demonstration scope and show the research process in a private setting.
Where the data and security requirements allow it, that demonstration can use approved historical records or a strictly read-only feed. If the results are worthwhile and you choose to proceed, we can scope a dedicated dashboard and handover.
No obligation to proceed after the initial discussion or demonstration. Any access, integration work, charges, trial duration, security arrangements and dashboard handover would be agreed in advance; hardware installation and safety certification are not implicitly included.
What do you want to understand? What measurements already exist? Who is authorised to share them?
Review permitted APIs or recorded files, feasibility, data handling, costs if any and a limited set of test questions.
Where technically possible, inspect findings, uncertainty, limitations and the underlying approved readings in a private view.
No obligation. A longer-term monitored pilot and client dashboard follow only by mutual agreement and validation.
SEPARATE RESEARCH DIRECTION · DECISION FUTURES
Physical Intelligence can support observations and physical scenarios. Decision Futures is a different counterfactual research programme for comparing declared actions, inaction and conditional outcomes—not an automatic maintenance controller.
Establish and preserve the measurements and model assumptions.
Explore explicit intervention, delay or no-action scenarios if credible engineering models exist.
Compare scenarios with independent tests and later outcomes under expert review.
BUILT IN AOTEAROA · OPEN TO ENGINEERING COLLABORATION
We'd be interested in exploring it, whether it's a single machine or a complex monitored installation.
