Energy & Power

Energy & Power

Generation and grid assets produce oceans of telemetry; the constraint is no longer measurement but turning it into decisions.

Book a consultation

Key takeaways

01

Forced outages set the economics.

A single turbine or boiler going down unplanned runs from a hundred and twenty-five thousand dollars an hour to millions per event once lost generation, emergency repair and grid penalties are counted.

02

Most plants are flying blind.

Around seventy per cent of power plants still lack real-time visibility into when critical equipment is approaching failure, and planned-maintenance compliance averages around sixty per cent.

03

The telemetry is already flowing.

Every turbine generates thousands of data points a second; the gap is the look-ahead, not the data.

The pressure

Why this matters now

For a generator running plants and turbines as much as for a wider energy business spanning trading, distribution and the grid, the pattern is the same: more raw material for good decisions than has ever actually been used.

Operations & AI

The fleet is ageing and cycling harder.

Older thermal assets are run more aggressively against tightening efficiency and uptime targets, which raises forced-outage risk exactly as the margin for error shrinks.

A single failure cascades.

A turbine trip or a boiler-tube rupture pulls a unit offline for days to weeks, forces replacement-power purchases and triggers penalties, so reliability is the dominant lever on both cost and revenue.

Reactive maintenance dominates.

A large share of maintenance hours and budget goes to overtime and expedited parts for failures that were predictable, leaving the operation stuck firefighting.

Start a conversation
Operations & AI
What we plug into

Integrations & data sources

We've built data platforms for our clients, designed to ingest from the telematics, SCADA, historian and ERP/EAM systems used across power generation, including the ones below.

Turbine OEM platforms

GE VernovaSiemens EnergyMitsubishi PowerWärtsilä

Control / monitoring / historians

Baker Hughes (Bently Nevada)ABBEmerson (Ovation)Schneider ElectricAVEVA / OSIsoft PIGE Digital (Predix / APM)

ERP / EAM

SAPIBM Maximo

Capability statement, not a checklist. No per-vendor endorsements implied.

From signal to value

How to get there

It tends to run in a sensible order, and we can join at any point.

1

understand

where the asset base stands

2

prove

the value on the highest-risk units

3

build

the platform that lets data flow across the fleet

4

embed

the capability in your own teams

Bring us the asset you worry about most.

Consultation

That is usually where the clearest, fastest-paying use case is hiding.

Tell us what you run and where it hurts - we'll tell you the smallest first move that pays.

Book a meeting
Consultation