We act on a purity drift or degradation event, before it threatens a supply contract or forces a shutdown.
"A compressor trend went unwatched and we lost ASU availability."
Availability is the contract. A compressor degradation that was visible in the data became an unplanned shutdown because nothing acted on it.
"A purity drift risked a customer spec breach before anyone caught it."
Product out of spec to a customer with tight requirements is a contract event, and the drift that caused it was trending well before the breach.
"Tanker scheduling is reactive, so we run customers close to empty."
Without telemetry-driven replenishment, the fleet runs on guesswork and customers get uncomfortably close to running dry.
We do not boil the ocean. We pick the single event with the highest avoidable cost and build the full chain for it, then move to the next.
Degradation across the air separation unit is scored from live data, so maintenance is planned before availability and contracts are at risk.
Product purity drifting toward a spec limit is caught and corrected before a customer spec breach, not after.
Compressor condition is monitored continuously, so a failing unit is serviced on a planned slot instead of tripping the plant.
Customer tank levels and usage drive distribution scheduling, so the fleet runs ahead of demand instead of behind it.
Industrial gases run on Asset Intelligence for ASU and compressor health, paired with the Control Tower for distribution. The same six-layer architecture that runs in production today, configured for your plants, your purity specs, and your supply obligations.
Modular by design. Start with the screens the first event needs, add the rest as you grow. What follows are real screens from a build we ran inside a client's systems, not a subscription product.
Real-time ingestion and normalisation of every operational event.
EventThe master ledger of assets with full lifecycle history in one place.
EventGeospatial view with live telemetry across the whole estate.
IntelligencePredictive scoring with AI explanation chips and confidence ratings.
DecisionCost of action versus inaction, then approve and execute in one place.
WorkflowIF, AND, THEN rules running thousands of executions at high success.
ActionWhat-if scenarios across six domains, with pre-emptive actions ranked.
OutcomeAnalytics, compliance and audit, system health, and integrations hub round out the set.
Bring us one. In 30 minutes we will tell you whether it is predictable, what it would take to catch it early, and roughly what it would cost.