Results you can audit

We're not asking you to trust the interface. Every figure we show comes from real data, and every UAI Expert recommendation cites the standard behind it.

Case study · Cotel

Measurable results, from month one.

Cotel deployed UAI at its main headquarters and is now rolling it out across two of its datacenters.

40%

less energy consumption

~50%

lower invoice cost

The transformation

From reactive monitoring to predictive management

Monitoring stops being passive watching and becomes management: every alarm gets a documented response, every recommendation is backed by real data.

Before · Reactive monitoring

Action is taken only after the equipment already failed or triggered an alarm
No way to tell a healthy unit from one that's degrading
Maintenance on a calendar, unrelated to real condition
Decisions with no quantitative backing in historical data

Now · Predictive management with UAI

Degradation is caught before the alarm or the failure happens
Every piece of equipment has its own normal-behavior profile
Maintenance is prioritized by real risk level
Every recommendation is backed by the equipment's own historical data

Engineering rigor

Auditable decisions, backed by international standards

Every UAI recommendation can be validated against the standard behind it — technical traceability for audits, compliance, and investment decisions.

ASHRAE TC 9.9IEEE 1100IEEE 485TIA-942NFPA 110IEC 62040-3

Sectors we serve

TransportationHealthcareFinancial & insuranceIndustrialHigher educationDatacenters & telcos

Sustainability

0.43 t CO₂ ↓

Automatic calculation of environmental equivalencies that back your ESG commitments with real data.

413 🌳

tree equivalents

20–35%

less HVAC energy

Proof, not promises

Here's what a real UAI Expert finding looks like

This is a real example from a temporary-metering audit: the AI doesn't just flag the anomaly — it explains it and prioritizes the fix.

The exact time window in which the issue occurs
The likely technical cause, not just the symptom
Severity and recommended action, prioritized

Request your diagnostic

Real audit findingWarning

Nighttime power factor collapse

Between 6 PM and 6 AM, the power factor drops to 0.10–0.35 as inductive equipment stays energized with no useful load: up to 24,000 var of reactive energy wasted every night.

ImbalanceUp to 15V of difference between phases, consistently

Audit7 days of metering, no permanent installation

DeliverableReport with a prioritized action plan

Take the first step

Measure your infrastructure before you invest

Book a demo and we'll show you, with your own equipment, how much you can save and which failures you can get ahead of.

Book a demo

Flexible models — even with no upfront investment, paid from verified savings.