Industries
Energy, Oil, Gas & Utilities

From the instrument to the cloud, one team, one architecture.

SCADA, control systems, and operational analytics for power generation, oil and gas, pipelines, and utilities. Built by engineers who design the PLC logic and the cloud platform that sits on top of it.

Asset Network · Live
5 sites
Compressor 011,240 mscf/d
Pipeline A-12642 psi
Pump Station 04318 gpm
Wellhead 2282 bbl/d
Substation 712.4 MW
The Problem

Three things keeping energy operations a step behind.

01

Legacy SCADA at the limit

Original architectures were sized for a fraction of today's site count and tag volume. Polling rates degrade, alarm floods bury real events, and adding a new well or substation takes weeks. The platform that ran the operation for a decade is now the bottleneck.

02

Maintenance stays reactive

Vibration, thermal drift, and electrical signatures predict most rotating equipment failures weeks in advance. The data already exists in the historian. The model that turns it into a work order doesn't, so failures still arrive as emergencies.

03

Data nobody can query

Years of historian data sit on an on-premise server two people know how to use. Engineers can't compare wells, supervisors can't trend performance, and decline curve analysis takes days instead of minutes. The data is captured. It just isn't usable.

Solutions

Three systems we build for energy infrastructure.

Turbine 03 · Vibration
Anomaly · 3.4σ
Velocity (mm/s)14d trailing
Predicted failure window14–21 days
USE CASE / 02

Industrial IoT & Operational Analytics

Equipment failure shows up in vibration, temperature, and current signatures weeks before the asset goes down. We instrument critical equipment, pipe data through OT/IT-segmented architectures, and train models on each asset's actual operating signature so degradation surfaces as a planned outage instead of an emergency.

  • Sensor instrumentation for vibration, thermal, oil quality, and electrical signature
  • Real-time pipelines from SCADA and historians to cloud ML platforms
  • Anomaly detection trained on baseline behavior of your specific assets
  • Work order routing with context: what changed, when, probable component
OPC UAMQTTOSIsoft PIAVEVA HistorianEdge ML
Instrumentation · Live
6 tags
PT-1042Header pressure642 psi
OK
FT-2018Flow · meter run A1,240 mscf/d
OK
TT-3301Discharge temp184 °F
DEV
LT-4422Separator level62 %
OK
PT-5108Suction pressure118 psi
ALM
FT-6219Pump flow318 gpm
OK
USE CASE / 03

Process Instrumentation & Control

Compressor stations, pump houses, treatment trains, and well sites run on the integrity of their instrumentation and control logic. We design, program, and commission systems on Allen-Bradley, Siemens, and DCS platforms — with safety logic, deviation detection, and code a 2 AM technician can actually read.

  • Structured PLC and DCS logic on Allen-Bradley, Siemens, Honeywell, Emerson
  • Loop tuning, deviation flagging, and trip logic for critical process tags
  • Safety instrumented systems per IEC 61511 — SIL assessment through SIF design
  • Commissioning and SAT in live energy environments where mistakes are real
ControlLogixS7-1500ExperionDeltaVGuardLogix
What it changes

Numbers from the field,
where downtime gets expensive.

Aggregate impact across recent SCADA, predictive maintenance, and controls deployments. Specific projects scoped on request.

~62%
Reduction in nuisance alarms after SCADA rationalization
3–6wk
Earlier detection of rotating equipment degradation
$3M+
Annual unplanned turbine maintenance avoided per site

Got an asset, a SCADA platform, or a data problem that's holding the operation back?

Common questions

Straight answers.

Yes. Our automation team designs and deploys control systems across power generation, pipeline operations, refinery process control, and utility infrastructure. Our software team builds custom energy data platforms, predictive maintenance AI, and operational analytics applications on top. Most firms do one or the other. We do both, and they're designed together — not stitched together after the fact by two vendors who don't talk to each other.

Yes. We execute phased migrations — Honeywell TDC to Experion, Allen-Bradley PLC-5 to ControlLogix, Siemens S5 to S7, and legacy SCADA platforms to modern Ignition, FactoryTalk, or AVEVA deployments. Each phase is tested, commissioned, and turned over to operators before the next begins, so 24/7 assets keep running through the transition.

We deploy vibration, thermal, oil quality, and electrical signature sensors on critical rotating equipment, transformers, and switchgear. A real-time data pipeline feeds a cloud or edge ML platform, and we train anomaly detection models on baseline data from your specific assets. The system flags degradation 3–6 weeks before failure, giving maintenance teams time to plan outages around generation schedules instead of reacting to emergencies.

OSIsoft PI, AVEVA Historian, Ignition Tag Historian, InfluxDB, and TimescaleDB on the data side. Ignition, FactoryTalk SE & Optix, Siemens WinCC, AVEVA System Platform, VTScada, and GE iFIX on the SCADA side. We build read-only, secure connections that extract operational data without compromising OT network integrity.

IEC 62443-aligned network segmentation with firewalls and DMZs, NERC CIP compliance support for bulk electric system cyber assets, vulnerability assessments, and SCADA hardening. For cloud workloads, we design hybrid architectures that keep latency-sensitive control data on-premise while pushing analytics to the cloud through properly segmented boundaries.

Yes. AI-powered regulatory reporting agents pull data from operational systems, apply the correct calculation methodologies, and generate draft submissions for review. We've built automated reporting systems for EPA environmental compliance, PHMSA pipeline safety, NERC reliability standards, and state-level utility reporting requirements.

Ready to talk about your project?

Whether it's a pipeline SCADA migration, a refinery controls upgrade, a predictive maintenance deployment, or a data platform that finally makes your operational data useful — tell us what you're trying to solve.