Physics AI, purpose-built for PD pumps
World’s first superintelligence for PD pumps.
Usher a new era of moving industrial fluids with physics-aware AI, purpose-built for positive displacement pumps. Real-time prescriptive guidance for PD pump operators, fleet managers, and the OEMs.
// Sound familiar?
PD pumps have seen enough of guesswork and inefficiencies.
You know these problems — you live with them every shift.
Process inefficiencies and off-curve operation silently wear the pump. Dry running and contaminated fluid eroding the clearances go unnoticed — the impact unmeasured, or unknown. Operators react only at real failure: a seal fails or cavitation damage surfaces, with no prior warning.
Emergency callouts and firefighting become the norm.
Unplanned downtime at the worst possible price.
Pumps drift off their best-efficiency point and stay there for weeks, even months. 20% more energy consumed, across the fleet, is a huge price that nobody is tracking.
Pumps that “run fine” but run loud and hungry.
An energy line item nobody can defend.
Generic monitoring cried wolf until your operators stopped trusting the alerts. When a system does detect a fault, it leaves the diagnosis — and the guesswork — to operators who are always crunched for time.
Persistent false positives. Alerts ignored.
Analytics and data spend with nothing to show for it.
// Why existing solutions don’t work for PD pumps
It’s rocket science, literally.
PD pumps move viscous, multiphase fluids with an inherently pulsatile behaviour. General-purpose analytics and horizontal AI platforms are asset-blind — built for rotating-machinery averages, they read a healthy PD pump as a malfunctioning one. Three reasons the tools available today fall short:
The Physics Mismatch
Asset-blind analytics read the normal pulsatile behaviour of a PD pump as severe anomalies, leaving interpretation — and liability — to the human operator.
Result
Chronic false alarms and alert fatigue, until operators disable the system.
The Sensing Gap
Standard accelerometers don’t measure beyond 2.4 kHz — missing the acoustic signatures of subtle early-stage faults like mechanical seal failure.
Result
Most catastrophic failures are physically invisible to the instrumentation you already own.
The Data Desert
Standard ML runs on statistics and needs hundreds of labelled fault events per pump type before it works. Nobody has that library, for any fleet.
Result
Models improve at a snail’s pace, with thin coverage across the fleet.
// Why you should care
Every month you wait, the same money leaks out.
These problems don’t hold still. Piecemeal fixes — another sensor vendor, another dashboard, another pilot — only add integration fatigue. What changes the economics is one physics-aware system that runs from the pump itself to the decision, with nothing lost in between.
Reactive maintenance keeps pricing repairs at emergency rates.
Early-stage faults caught at acoustic frequencies become planned interventions. The difference between a scheduled seal replacement and a 2 a.m. failure is the entire ROI case.
Untracked efficiency keeps paying the power company for wear.
Per-pump efficiency tracking turns the energy bill from a fixed cost into a managed one — and flags off-curve operation the day it starts, not at the quarterly review.
Every false alarm buries the trust any digital program needs.
When every alert is rooted in pump physics and explained in plain language, operators stop muting the system. Adoption is the outcome, not the obstacle.
Piecemeal fixes pile integration fatigue on top.
Sensing, edge, models, and guidance in a single architecture that sits inside your automation stack. One data lineage from sensor to executive dashboard. One throat to choke.
// What we do
Fluids run the world. We keep them moving.
SmartBeam AI provides physics-informed intelligence for positive displacement pumps: end to end, from high-speed waveform sensing to real-time prescriptive guidance. We embed the governing laws of your pump’s exact geometry into the model, so the system knows what healthy looks like from day one.
// Governing laws, not patterns
Governed by physics, not correlations
Every alert and prediction is enforced against the laws of PD pump operation. No statistical noise dressed up as insight.
// Transient + multiphase aware
Sees the dynamics ML misses
Transient, viscous, multiphase behaviour is modelled, not averaged away. On a PD pump, the edge cases are the model.
// Cross-asset from day one
Works on a new pump type from day one
Screw, gear, or diaphragm — the physics for each geometry is already embedded. No months of retraining, no waiting for failures to learn from.
// Causal Twin · every drift traced
Every insight traceable to root cause
No black boxes. Each drift is traced through the Causal Twin and delivered as plain-language guidance an operator can act on immediately.
// Your move
Step into a future-proof way of running industrial PD pumps.
Three ways in — pick the one that moves you forward fastest.
Explore
Tour the Pumps AI Lab
Been burned by analytics before? Watch physics AI read a live PD pump. See off-curve modes and early-stage faults mapped, explained, and solved in real time — before you commit a single data point.
Evaluate · Free
Run a Data Pilot
Your historian is full — let it speak. Send us a sample of your high-frequency telemetry; we run it through the physics engine and hand back a diagnostic report on your pump: what’s healthy, what’s drifting, and what it’s costing you.
Implement
Talk to an Engineer
Skip the sales pitch. Bring your P&IDs and your worst-behaving pump. Our domain engineers will walk your architecture, your fluids, and your bottlenecks — and show you exactly where explainable guidance fits.
// Ready when you are
See it on a live pump — then on yours.
Two ways to start: watch physics AI read a pump in the Lab, or put our engineers on your worst-behaving asset.