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Cloud Intelligence Solutions

Industries

Oil, Gas & Energy

Keep Assets Running and Production on Target

Upstream, midstream, and downstream operators rely on us to bring field, plant, and business data into one place. Our teams build the platforms, predictive models, and reporting that keep assets available, production on plan, and emissions data defensible.

What We Deliver

Where We Make the Difference

Energy operations generate constant streams of sensor, historian, and SCADA data, yet much of it stays locked in operational systems. Engineers and managers end up reconciling spreadsheets. We connect operational and business data securely, then deliver analytics that engineers, planners, and HSE teams trust.

01

Equipment Health Monitoring

Models trained on vibration, pressure, temperature, and work order history flag compressors, pumps, and rotating equipment that are drifting toward failure while there is still time to plan.

02

Production Variance Analysis

Well, facility, and pipeline data from historians such as AVEVA PI combined with plans and allocations shows where production falls short and which constraints explain it.

03

HSE Leading Indicators

Incident, near-miss, permit, and inspection records brought into one model help safety teams spot rising risk by site or contractor before it becomes a recordable event.

04

Emissions Data You Can Defend

Emissions calculations built on metered and estimated source data, with lineage and review workflows, support EPA Greenhouse Gas Reporting Program submissions and investor disclosures.

Our Approach

How We Deliver Oil, Gas & Energy

  1. Step 1: Walk the Assets and Systems

    We review your assets, operational systems, and reporting duties with field and office teams, then rank analytics opportunities by value and data readiness.

  2. Step 2: Bridge OT and IT Securely

    Integration pipelines move historian, SCADA, and IoT data alongside maintenance, finance, and ERP records, respecting the network segmentation your OT environment requires.

  3. Step 3: Prove Value on One Asset Class

    We start with one asset class or facility, build the model or dashboard end to end, and validate it with the engineers who will act on it.

  4. Step 4: Scale Across Sites

    Once the first use case holds up in operation, we extend it across fields, plants, or terminals using the same data model and deployment pattern.

FAQ

Common Questions

Something we did not cover? Ask us directly.

Can you work with our existing historian and SCADA systems?

Yes. We read from the operational systems you already run, such as AVEVA PI and your SCADA platforms, rather than replacing them. Data moves through controlled interfaces so operations are not disrupted.

How do you protect operational technology networks?

We design integration around your existing network segmentation, typically using one-way or brokered data flows out of the OT network. Your security and controls teams review and approve every connection.

Do predictive maintenance models need years of failure data?

Not necessarily. Many useful models start from sensor trends and maintenance records rather than large failure histories, and improve as more events are captured.

Can you help with emissions and ESG reporting?

Yes. We build the data pipelines and calculations behind emissions reporting with full lineage, so your sustainability and compliance teams can review every figure before it is disclosed.

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