For operations leaders and COOs

For COOs and operations leaders: uptime and cost across every site

Operations leaders are measured on throughput, downtime and cost per unit across many sites. Aqueduct compares sites, equipment and lines on the same measures and raises maintenance alerts before failures stop production or service.

Powered by aQ PredictIQ on aQ Core
Aerial view of warehouse roofs
Storeroom aisle with shelving
AHU-1 · fault
Supply fan stopped08:02
Failed rotor shaft08:03
Routed to CMMS08:04
Airflow confirmed11:40
Demo data

Every site should be held to the standard of your best one.

What you are measured on

The numbers your role answers for

  • Unplanned downtime

    Hours lost to failures, by site and asset class.

  • Utility cost per unit

    Energy and water per unit produced, per visitor or per square foot.

  • Maintenance mix

    Reactive work against planned and predictive work.

Warehouse racking with a forklift
Compressor 2 · condition
7.1 mm/s vibration
Maintenance scheduled before failure
Demo data
The decisions you own

Operating decisions the data supports

Which site needs help

Rank sites on cost per unit and downtime against peers.

Which assets to watch

Put critical rotating plant under vibration and energy monitoring.

Learn more

When to schedule work

Plan repairs around production when drift appears.

How to standardize

Copy the practices of top-ranked sites to the rest.

What Aqueduct changes

Running operations, before and after

TaskTodayWith Aqueduct
DowntimeRecorded after the factDrift alerts ahead of failure
Site comparisonMonthly reports in different formatsOne portfolio view with the same measures
Utility cost per unitEstimated from invoicesMetered per line or area
Contractor workClosed on their wordClosed when the signal returns to normal
Context for the seat

What downtime and maintenance cost

81 min

average recovery time after a failure in 2024, up from 49 minutes.

Source: Siemens, True Cost of Downtime 2024
$119.1B

lost by US discrete manufacturers to preventable maintenance problems in 2016.

Source: NIST AMS 100-34, 2020
35 to 45%

less downtime reported by working predictive maintenance programs.

Source: US DOE FEMP O&M Best Practices Guide
Trusted at scale
Read the case studies
Deployed275+

sites in 21 countries run on Aqueduct.

Healthcare22 hospitals

and 9 clinics in one of India’s top hospital chains.

AirportsA top 25

US airport running water intelligence on Aqueduct.

Real estate20M+ sq ft

of commercial real estate under Aqueduct.

Manufacturing300 acres

FMCG manufacturing campus.

Food and dairyMajor dairy

operations run on Aqueduct.

Questions

Common questions

Manufacturing, dairy and food, logistics, airports, hospitals and data centers, wherever uptime depends on plant. The same yardsticks apply in every plant, so one site can be held against another. See manufacturing.

Yes. Utility use can be divided by output, visitors or floor area, so a site running extra shifts is not flagged as wasteful for producing more. See specific energy consumption.

One site and one asset class, such as compressors or chillers, then expansion once alerts are proven. Existing meters and BMS points come online first, with sensors added on critical machines. See equipment uptime.

aQ PredictIQ raises maintenance alerts from vibration, sound and energy drift before a failure, and fault detection names the component that broke. More work becomes planned, and the remaining breakdowns arrive with a diagnosis. See predictive maintenance.

See Aqueduct on your own facility.

Bring a site, a utility bill or a question. We will show you where the loss is.