Cross-Industry · Pump Intelligence · Operational Memory

One Source
of Lifecycle Truth
for Every Pump

Condition, performance, hydraulic efficiency, energy draw, and useful life — tracked across every brand and industry, from commissioning to end of life. One platform, not a patchwork of point tools.

Request Early Access See How It Works
6-12wk
Failure Detection Window
$260k
Avg. Cost Per Hour of Downtime
1
Asset Class, Every Industry
Live Asset Feed · Pump 7B — Efficiency 71% vs 89% Fleet Median Class Model Sync · Centrifugal Cavitation Signature v2.1 Deployed Live Anomaly · Booster Station 4 — Bearing Vibration Spike Detected System Action · Maintenance Ticket Raised — Site 11 Reliability Queue Live Hydraulic Reading · Flow 412 m³/h — Pump 14 Within Design Curve Fleet Status · 1,240 Assets Streaming · Latency 9ms Live Asset Feed · Pump 7B — Efficiency 71% vs 89% Fleet Median Class Model Sync · Centrifugal Cavitation Signature v2.1 Deployed Live Anomaly · Booster Station 4 — Bearing Vibration Spike Detected System Action · Maintenance Ticket Raised — Site 11 Reliability Queue Live Hydraulic Reading · Flow 412 m³/h — Pump 14 Within Design Curve Fleet Status · 1,240 Assets Streaming · Latency 9ms
The Problem

Pumps Are Run on Guesswork

Most pumps are monitored by generic vibration alerts or maintenance logs. Very few are understood in detail— how efficiently they're really running, how they're ageing, or when they're worth replacing. That gap costs far more than the failures occasionally caught.

  • !Vibration-only monitoring misses the failure modes that matter most — cavitation, recirculation, and hydraulic instability don't always show up as vibration until it's too late.
  • !Efficiency loss is invisible until it hits the energy bill — pumps quietly drift off their best efficiency points for months or years with nobody watching.
  • !Replacement decisions are made on age and gut feel, not data — with no real picture of remaining useful life or true lifecycle cost.
  • !Every site relearns the same failure modes alone — with no way to benchmark against how same pump models perform elsewhere.
  • !Pump operational memory is in people's heads and gets lost when engineers or technicians leave — limiting historical context of pump performance, failure patterns, what was changed and why.
Solution

One Software-Defined Physics Engine,
Any Pump, Any Plant

How semanticIQ turns ordinary operating data into physics-based intelligence — without rip and replace, without proprietary sensors.

01
Sensor-Agnostic Ingestion
Connects to whatever you already have — OPC-UA, Modbus, 4-20mA loops, OSIsoft PI historians. No proprietary hardware required, no rip and replace.
Works with existing plant instrumentation across any pump brand or vintage. Add-on sensors only where genuine gaps exist.
Brownfield-first
02
Physics-Based Mechanistic Model Matching
Hydraulic models, failure-mode libraries, and per-asset baselines work together to catch what generic vibration tools miss — cavitation, efficiency drift, and early-stage degradation across the full pump lifecycle.
Mechanistic model library v3
03
Persistent Operating Memory
Living operational pump records enhance understanding of how design decisions, operating conditions, maintenance actions, and process changes impact pump performance over the entire life.
3-layer model architecture
04
Action, Not Just Alerts
Clean intelligence flows directly into your existing CMMS and ERP — automatically raising work orders, flagging parts to order, and feeding reliability dashboards without manual handoffs.
CMMS + ERP integration
Applications

One Asset Class, Lifecycle Intelligence

Every use case below is live on site from day one — no rip and replace, no complex IT setup. semanticIQ plugs into the equipment and systems you already have and starts delivering measurable results within weeks.

Failure Prediction
Know a Pump Is Failing Weeks Before It Stops
Flow, pressure, power, and vibration are analysed together against physics-based failure models — catching cavitation, seal wear, and bearing degradation in the 6 to 12 week window before functional failure.
6-12wkAdvance failure warning
Efficiency & Energy
Stop Paying for Pumps That Are Quietly Underperforming
Hydraulic efficiency is tracked continuously against design curve and commissioning baseline — surfacing energy waste from impeller wear, recirculation, and duty point drift long before it shows up on the power bill.
↓18%Typical energy waste identified
Cross-Fleet Benchmarking
See How Your Pump Compares to Every Other One Like It
Performance is benchmarked against the same pump model running elsewhere — across industries — so you know whether a reading is normal wear or a genuine outlier worth investigating.
1000sOf comparable assets in the network
Maintenance & CMMS
Work Orders That Write Themselves
Diagnoses feed directly into Maximo, SAP PM, or Fiix — raising work orders with root cause, recommended action, and parts to order, so your reliability team acts on intelligence, not raw alerts.
−6hManual triage per incident
Remaining Useful Life
Plan Replacement Before It Becomes an Emergency
Degradation trajectories across the asset's full lifecycle inform realistic remaining-useful-life estimates — turning capital planning from guesswork into a data-backed budget conversation.
3-5yrLifecycle visibility horizon
Design & Selection
Design Your Next Pump System Without a Consultant
The same physics models that monitor your fleet let you simulate a new pump or pipe configuration before you buy — validated against how that exact model performs in the real world, not just its catalogue curve.
1000sOf real installs behind every simulation
How It Works

Deploy in Four Steps

01
Deploy the Mechanistic Model Library
Start with pre-built, physics-based models for centrifugal, positive displacement, and slurry pumps — built from hydraulic first principles and ready to apply across any OEM.
02
Connect Your Existing Data
We connect your current CMMS, ERP, and historian data to our semantic layer — without replacing your current systems or installing proprietary sensors.
03
Build the Asset Baseline
Over a 90-day baseline period, the system learns each pump's individual signature — flow, pressure, power, and vibration under normal operation.
04
Scale Across the Fleet
Expand from a pilot site to the full pump fleet, and from pump intelligence to adjacent asset classes, at your own pace.
Request Early Access
About semanticIQ
Why We're Different

Generic Monitoring
Misses Complex Hydraulic Behavior

01
Sensor-Agnostic by Design
No proprietary hardware to procure or certify. semanticIQ connects to the OPC-UA, Modbus, and historian data you already have — deploying in days, not the months a new sensor rollout requires.
02
Physics, Not Just Pattern-Matching
Hydraulic models built from flow, pressure, and power relationships catch cavitation, recirculation, and efficiency loss that vibration-only monitoring simply cannot see.
03
Cross-Industry Network Effect
Every pump instrumented anywhere in the network sharpens the model for every other pump of that type — a Grundfos in a water plant teaches the system about every other Grundfos in the fleet, and powers design simulations grounded in real-world performance, not just catalogue curves.
04
Cradle-to-Grave Lifecycle Intelligence
Persistent monitoring and analysis throughout the entire asset lifecycle, creating auditable history and providing actionable insights for pump asset management, CAPEX, energy and safety planning.
05
Edge-Capable Where It Matters
For sites with unreliable connectivity, local inference keeps detection running autonomously and syncs the moment connection is restored — no data lost, no blind spots.
semanticiq.fleet · site-07 · water-utility-east
# semanticIQ Fleet Monitor — Live Stream
─────────────────────────────────────────
$ siq status
 
site_id site-07-east-booster
connectivity OFFLINE
mode AUTONOMOUS
uptime 14d 06h 42m
 
pumps_active 148 / 148
inference_latency 11ms avg
events_buffered 3,821
 
last_alert PUMP_14_CAVITATION_RISK
alert_action maint_ticket_raised
alert_age 4m 12s
 
# Operating autonomously. No cloud needed.
$ _
Industry Coverage

One Asset Class.
Every Industry.

Water & Wastewater
Booster stations, treatment works, and network pumping under regulatory efficiency pressure.
Chemical & Process
Slurry, corrosive, and high-criticality transfer pumps where failure cost is severe.
Food & Beverage
Hygienic and CIP-cycle pumps where downtime halts entire production lines.
Oil, Gas & Energy
Process and transfer pumps across upstream, midstream, and power generation assets.
Manufacturing
Cooling, hydraulic, and process pumps embedded across the production floor.
Pricing

Built Around Your Fleet

semanticIQ is currently in early access, working with a small number of design partners to shape the platform. Pricing will scope to your fleet size and asset criticality. Get in touch to join the early access programme.

Join Early Access
Common Questions

FAQ

In most cases, no. semanticIQ connects to the OPC-UA, Modbus, and historian data you already have — your existing flow, pressure, power, and vibration readings. New sensors are only recommended where a genuine instrumentation gap exists.

Our equipment class models cover centrifugal, multistage, slurry, and positive displacement pumps across major OEMs. The architecture is brand-agnostic by design — physics-based priors apply before any brand-specific tuning.

Vibration alone misses hydraulic failure modes. semanticIQ models flow, pressure, power, and vibration together — catching cavitation, recirculation, and efficiency loss that vibration-only tools structurally cannot see.

We're working with a small number of design partners to validate the platform on real fleets. Early access typically starts with a focused pilot on 20–50 pumps at a single site, with direct input into the product roadmap.

Data connection typically takes days given our sensor-agnostic approach. A meaningful asset baseline builds over roughly 90 days, after which prediction accuracy improves significantly.

Full lifecycle. Beyond failure prediction, semanticIQ tracks hydraulic efficiency, energy consumption, and degradation trends from commissioning through to remaining-useful-life and replacement planning — including simulating how a new pump or system change would actually perform before you buy.
Get in Touch

Help Shape the
System of Truth for Pumps

We're talking to reliability and asset managers across industries to shape the early access programme. Tell us about your fleet and how you manage pump reliability today.

Our Location
Iveagh Court, Harcourt Rd, Saint Kevin's
Dublin, D02 YT22
Email
mal@outreach.semanticiq.co

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