Built for asset-intensive industries.
From aluminum manufacturing and power generation to mining, transportation, oil & gas, and public infrastructure — we modernize asset performance with practical intelligence.
Manufacturing
Automotive, aluminum, steel, chemicals, food, consumer goods, aerospace.
Energy & Utilities
Power generation, renewables, transmission, pipelines, LNG, refining.
Mining & Metals
Surface mining, underground, smelters, concentrators, mobile fleets.
Oil & Gas
Upstream, midstream, downstream, offshore, terminals.
Public Infrastructure
Ports, waterways, transportation, municipalities, water systems.
Life Sciences
Regulated assets, calibration, utilities, production reliability.
Reliability and throughput across discrete and process plants.
Automotive, aluminum, steel, chemicals, food, consumer goods, aerospace. Decades-old assets, mixed OT vendors, and skilled-labour gaps meeting daily takt-time pressure.
- Unplanned downtime on bottleneck lines is the single biggest profit leak.
- PM compliance looks healthy on paper, yet failures still surprise the floor.
- OEE dashboards exist; the actions that move OEE do not.
- Failure-mode-driven predictive models on stamping, motors, gearboxes, conveyors.
- EAM redesign in SAP PM or Maximo so the work order reflects the actual asset.
- Throughput AI on the constraint — scheduling, yield, and changeover loss.
- ↓ 28% unplanned downtime on a single stamping line, year one.
- ↑ 4.1pt OEE on an aluminum hot-mill bottleneck.
- ↓ 19% PM hours redirected to predictive without losing compliance.
Generation, transmission, and pipelines under reliability scrutiny.
Power generation, renewables, transmission, pipelines, LNG, refining. Regulators, ratepayers, and ESG investors all watching the same asset base.
- Outage planning is reactive; the system absorbs cost no one budgets for.
- Historian data is rich, but never reaches the work-management decision.
- Capital plans are built on age, not on actual condition or risk.
- Condition-based maintenance on turbines, transformers, and rotating equipment.
- Risk-weighted capital sequencing tied to regulator and ESG commitments.
- Outage optimization with constraint-aware scheduling AI.
- ↓ 22% forced outage rate across a 14-asset rotating fleet.
- ↑ $38M capital re-prioritized away from age-based replacement.
- ↓ 31% reactive work orders over two PM cycles.
Mobile fleets, fixed plants, and brutal duty cycles.
Surface mining, underground, smelters, concentrators, mobile fleets. Remote operations where every hour of downtime is paid for in lost tonnes.
- Haul-truck availability swings 8–12% week to week with no clear cause.
- Concentrator throughput drifts; root-cause investigations take weeks.
- Mobile and fixed asset data live in different systems and never converge.
- Component-level prognostics on engines, frames, and drivetrains.
- Yield and recovery analytics tied to ore characteristics and operator inputs.
- One unified asset register across fleet, fixed plant, and infrastructure.
- ↑ 6.8% haul-truck availability on a 110-unit fleet.
- ↑ 2.3% recovery uplift at a copper concentrator within 6 months.
- ↓ 41% mean time to detect drivetrain failure precursors.
Upstream to downstream, with safety as the only constant.
Upstream, midstream, downstream, offshore, terminals. Integrity, emissions, and turnaround economics all measured to the dollar and to the day.
- Integrity programs are exhaustive but inspection windows still miss real defects.
- Turnaround scope explodes once work starts and budget never holds.
- Emissions reporting is manual; signal lags reality by a quarter or more.
- Risk-based inspection prioritization fed by historian, lab, and field data.
- Turnaround scope optimization with predictive backlog growth modelling.
- Methane and emissions analytics aligned to MRV and regulator reporting.
- ↓ 17% turnaround scope creep on a refinery shutdown.
- ↑ 2.4× defect discovery rate per inspection hour.
- ↓ 12% reportable emissions through continuous detection.
Ports, transit, and water systems that cannot stop.
Ports, waterways, transportation, municipalities, water systems. Public scrutiny, regulated capital, and asset bases that outlive every administration.
- Asset registers are out of date the moment they're published.
- Capital plans defend last year's numbers, not next decade's risk.
- Procurement and maintenance speak different languages about the same assets.
- Condition-based renewal planning tied to service-level commitments.
- Geospatial asset intelligence joining GIS, EAM, and SCADA.
- Defensible long-range capital models for council and board review.
- ↑ 96% asset register accuracy on a 22,000-asset network.
- ↓ 18% emergency repair spend reallocated to planned renewal.
- ↑ 3× faster capital-case approvals at council level.
Production reliability without breaking validation.
Regulated assets, calibration, utilities, production reliability. Where every change is a change-control package and downtime translates directly to patient impact.
- Calibration backlogs grow; deviations follow.
- Utilities reliability is treated as a given until it isn't.
- Maintenance data and QMS data tell different stories about the same event.
- Calibration interval optimization within validated guardrails.
- Utilities reliability analytics on HVAC, water, and clean-utility systems.
- Integrated maintenance and quality intelligence with audit-grade lineage.
- ↓ 34% calibration backlog without revalidation.
- ↓ 26% deviations linked to utilities reliability events.
- ↑ 100% audit traceability from work order to QMS record.
Start with one asset class.
Prove the model.
Scale the framework.
Our Reliability Launchpad delivers a measurable AI use case in 90 days — fixed-fee, milestone-based, with an executive roadmap for enterprise scale. No abstract proofs of concept.
Wk 1–2 Discovery & data readiness
Wk 3–6 Model build & validation
Wk 7–10 Production pilot
Wk 11–12 Executive roadmap
- 1 A working AI use case in production on one asset class
- 2 Verified ROI signed off by your Finance team
- 3 A costed roadmap to scale across the enterprise
- 4 Everything we built — yours to keep, scale or not