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Value

Operational data, not theoretical models

We build analytics that survive contact with SCADA, GIS, ERP, and the messy reality of field operations — not slideware that breaks the first week in production.

AI on the unstructured backlog

Permitting documents, technical reports, and field notes are where decisions stall. We apply AI where it shortens the path from document to decision.

Automation that removes handoffs

Reporting, reconciliation, and compliance tasks consume disproportionate capacity. We automate the parts that no longer need a human in the loop.

Microsoft-stack fluency

Power BI, Fabric, and Azure end-to-end — integrated with the operational systems your team already runs on, not bolted on beside them.

Make better decisions using data

The energy sector generates more operational data than almost any other industry — meter reads, sensor telemetry, work orders, market pricing, regulatory filings, and more. The challenge is rarely “do we have the data”; it’s “can we turn this into a confident decision before the window closes.”

Canopy Analytic helps energy organizations build analytics that survive contact with operational reality, AI that augments human judgment on unstructured information, and automation that removes manual handoffs from the work that has to happen every day.

Where we help

  • Operational analytics across SCADA, GIS, and ERP data sources
  • AI applied to permitting documents, technical reports, and field notes
  • Automation where reporting, reconciliation, or compliance tasks are eating capacity
  • Power BI training for engineers, operators, and analysts working close to the data

We work primarily in the Microsoft ecosystem (Power BI, Fabric, Azure) and integrate with the systems your team already uses.

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Common questions

Do you work with our existing SCADA, GIS, and ERP systems?
Yes. We integrate with the operational systems your team already uses rather than asking you to replace them. Our work sits on top of those sources and joins the data into a form decisions can be made from.
Can you handle regulated reporting and compliance workflows?
Yes. We've built regulatory reporting and reconciliation pipelines for organizations with strict audit requirements. Auditability and reproducibility are baked into the architecture, not added later.
How do you approach AI on technical documents?
We start by identifying where unstructured information is creating real decision delays — permitting, technical reports, field notes — and apply retrieval and extraction patterns scoped to those workflows. We don't deploy generic chatbots.
Will our engineers and operators be able to use what you build?
Yes. Training is part of the engagement. We work in the open with your team and hand off documentation and Power BI training so the work is sustainable after we leave.