Industry · Oil & gas

No-code Industrial AI for oil and gas operations.

Compressor trips cost real production hours, flaring is now a board-level metric, and operators are already drowning in DCS alarms.

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Reduce downtime →Detect anomalies →Reduce energy & emissions →
ALERTS · last 24h4 events
  • 14:22HIGHCMP_042 residual +3.2σ
  • 11:08MEDDRY_B drift trend
  • 07:41LOWBLR_01 efficiency dip
  • 02:15HIGHPUMP_07 cavitation pattern

Industry reality

The operating pressures we built around.

Rotating equipment uptime

Compressors and turbines are the spine of production.

Flaring and emissions reporting

Flare hours and CO2 e are reported externally and watched internally.

Alarm flood

Threshold alarms fire late, and too often — the control room tunes out.

Top use cases

The work that pays for itself first.

Use case 01Open solution →
ProblemCompressors degrade slowly before they trip.
AI approachMultivariate anomaly model with hours-ahead warning.
KPI improved+12% compressor uptime
Use case 02Open solution →
ProblemFlare events are reactive and under-explained.
AI approachForecast upset conditions and recommend mitigations earlier.
KPI improved−18% flare hours
Use case 03Open solution →
ProblemFuel gas use drifts unit by unit.
AI approachBenchmark and optimize fuel/feed ratios per train.
KPI improved−3% fuel gas / ton
Use case 04Open solution →
ProblemCritical valves degrade silently.
AI approachTravel and torque pattern monitoring with explainable alerts.
KPI improvedEarlier MOC trigger

Relevant product modules

The platform capabilities that matter most here.

Anomaly detection →

Critical compressors, turbines, and valves.

Forecasting →

Upset conditions and flare risk.

Data Explorer →

Cross-unit comparison for energy and fuel benchmarking.

Adjacent proof

Adjacent proof — midstream operator

Adjacent · Oil & gas / midstream

“We replaced two threshold alarms with one anomaly model — same coverage, far less noise.”
— Control room lead

Headline result

+12%

compressor train uptime, 12 months

Data & integration

What we read, how often, and how it gets here.

Common systems

Historian (PI / AVEVA), DCS, SCADA, compressor OEM packages

Common tag classes

vibration, motor current, suction/discharge T&P, fuel gas, flare totalizer

Sample rate

1–5s for rotating equipment; 1min for production

Integration notes

Read-only Gateway; opt-in write-back only behind site safety governance.

Compliance & sustainability

Reporting and audit, built into the workflow.

Emissions & flaring reporting

Traceable kg CO2 e and flare hours, per asset and per event.

Safety-critical alarm governance

Audit log of every model-driven alert and operator response.

Management of Change (MOC)

Setpoint and threshold proposals routed through your MOC workflow.

For your internal champion

One-pager for oil & gas teams.

A printable summary covering the use cases, expected KPIs, data needed, and integration notes on this page — written for plant leadership and IT/OT.

Download one-pager (PDF)Email it to your team

See it on your own oil & gas data.

A 30-minute working session with an industry specialist. Bring one unit and your top KPI — we'll come back with a working model proposal.

Book industry demoTalk to a oil specialist