Results in the field

Not another AI promise. Operating results.

We've helped producers change how their operations run.

KD Canada
230+
wells in integrated-operations scope
KD Canada
75%
remote start-ups
KD Canada
94.5%
production efficiency, from 92%
Montney
71k
BOE of reported downtime avoided
Historical operating engagements

The numbers came from real operations.

Two operating environments. The same discipline: surveillance, clear ownership, better response and measurable results.

Kaybob-Duvernay IOC

Less noise.
More operating control.

Building an integrated operations model around surveillance, alarm rationalization, remote start-ups and visit-by-exception workflows.

Alarm managementRemote operationsProduction efficiency

What it demonstrated: better context changes how operators prioritize and act.

Reported outcome · daily alarms per operator
3,600+ → <170

Fewer alarms competing for attention

3,600+
<170
75%remote start-ups
94.5%production efficiency
Montney IOC

Scaling surveillance.
Protecting production.

Standardizing exception handling, remote surveillance and operating workflows so teams can manage more assets consistently.

Production surveillanceOperating by exceptionWorkflow standardization

What it demonstrated: operational consistency becomes more valuable as the asset base grows.

Reported engagement outcomes
71,000

BOE of downtime avoided

−5%lease operating expense (LOE)
+6%BOE production

Results reported for the IOC program.

What the operating work taught us

Better decisions changed performance. But what happens to the learning?

A control room can improve performance today and still lose the reasoning tomorrow. That's why we are building Operational Memory.

See the operating state

Events, alarms, trends and exceptions

Act and validate

People, decisions, actions and outcomes

Retain the learning

Validated lessons → asset SOPs → operating best practices

How we handle evidence

What we've proven. What we're building next.

We don't present historical IOC results as Memory Lanes outcomes. Each new engagement starts with a defined workflow, customer baseline and agreed measures of success.

✓
Historical resultsOperating outcomes reported from earlier IOC and surveillance work.
✓
Product stageMemory Lanes are the product direction for preserving validated operational experience; these case studies do not establish a production reference.
✓
Customer-specific proofAgree on baseline, scope, measurement period, operating owner and what success looks like before expansion.

Bring us one operating problem. We'll define the result worth achieving.

Start with a measurable workflow, not an enterprise-wide AI promise.

Discuss a Blueprint