The operations historian that scales with you, not against you.

The problem

A modern production estate generates millions of tags. Wells, pads, compression, gathering, tank batteries — every one of them instrumented, every one of them producing history that somebody has to keep.

The systems of record built to hold that data were priced for a world before storage was cheap. Cost rises in a straight line with tag count, so the operators with the most data have the most reason to throw it away — slower scan rates, tags left uncollected, retention shortened. The estate that most needs its history is the one being priced into deleting it, exactly as every analytics and AI plan depends on having kept it.

What we build

• A time-series store built for OT Scan rates and retention as they actually are in the field, with compression tuned to how process tags genuinely behave.
• An asset model treated as the product Templates, hierarchy and context — the layer that makes operational data usable rather than merely stored.
• Open by default Open formats and standard protocols out, not just in. Your history stays readable by tools we did not write, without an extraction project or an access license.
• Alarm floods, explained A compressor trips and ninety-nine alarms follow it. The standards call for no more than ten in the first ten minutes of an upset; most plants see an order of magnitude more. We correlate the flood against the history to surface the event that actually happened and rank the rest as consequences of it — because the system holding the history is the one that can tell which alarm mattered.
• Read-only by design We record the process. We never write to it. No command path from us back into a control network.

Where we start

Oil and gas upstream, on operators standardizing on Ignition, with ingestion built on OPC-UA and Sparkplug B. It is the estate where tag counts are largest and current licensing hurts most. The architecture generalizes to chemicals, power and manufacturing without being rebuilt.