Industrial DevOps
A Fortune 200 renewable operator
Version Control and HIL for PLC Code
Controls code lived on engineers' laptops with no history, no review, and no way to test a change before it hit a live plant.
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Our Work
A look at real engagements - what was broken, what SCADADOG built, and what changed. Client projects run under NDA, so the details that matter stay in; the names that do not need to be there stay out.
Platform Migration
A Fortune 200 renewable operator
Ten Sites, One Naming Standard
Ten solar sites, ten different tag naming schemes, nothing reusable from one site to the next.
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Document Intelligence
A Fortune 200 renewable operator
Turning Turnover Packages Into Structured Data
Construction turnover packages arrive as thousands of pages of PDFs - full of asset data nobody can query.
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Assessment
Feeding South Florida (via Spirit Tech)
Where Would AI Actually Pay?
A food bank wanted to use AI - but first needed to know where its data was missing and where AI would earn its keep.
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OT Connectivity
Well-Water-Systems
Telemetry for Assets Nobody Can Drive To
Remote water sites had no live visibility - the only way to check one was to send a truck out to it.
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Applications
A Fortune 200 renewable operator
Regenerating a BESS Site Layout in Minutes
Battery-storage layouts were redrawn by hand every time a parameter changed, costing days of engineering time.
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Document Intelligence
A Fortune 200 renewable operator
Power Curves Trapped in Drawings
Turbine and inverter power curves existed only inside issued-for-construction drawings, unusable to any model.
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Performance & Reporting
A Fortune 200 renewable operator
Proving Round-Trip Efficiency Without a Spreadsheet
Contractual battery efficiency was being reconstructed in spreadsheets every month, by hand, from exported data.
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Data Integrity
A Fortune 200 renewable operator
The AI Agent That Keeps SCADA Tags Honest
SCADA tag lists drift from reality as sites change - and nobody notices until a screen or a report is wrong.
Read case studyMost of these started the same way.
With a clear look at where the data was missing or manual. That is the cheapest, lowest-risk place to begin.
Start with a one-site data gap assessment