From the control system to the cloud —
one team, one architecture.
Energy infrastructure runs around the clock in environments where failure isn't an inconvenience — it's a safety event, a regulatory violation, or a multi-million-dollar loss. The technology supporting these operations needs to be as reliable as the assets it monitors. And it needs to span the full stack — from the PLC logic controlling a compressor station to the cloud platform predicting its next failure.
Nodeblue works across both layers as an energy software development and oil and gas automation company. Our automation division designs and deploys control systems for power generation, pipeline operations, refinery process control, and utility infrastructure. Our software division builds custom energy data platforms, predictive maintenance AI, and operational analytics applications that turn SCADA and sensor data into decisions. Most firms do one or the other. We do both, and they're designed together.
Legacy DCS and SCADA platforms, siloed operational data, and maintenance that stays reactive.
- —Historian data nobody outside the control room can query
- —Unplanned outages from failures that were predictable
- —Compliance reports assembled manually from SCADA screens
Control systems, data platforms, and AI designed together — from the instrument to the boardroom.
- Controls and software from one accountable team
- Predictive maintenance that prevents outages
- OT/IT segmentation aligned with NERC CIP and IEC 62443
The problem with
energy technology.
Energy companies sit on more data than almost any other industry. SCADA historians with years of process data. Sensor networks streaming thousands of tags per second. Field equipment generating maintenance records across hundreds of sites. Most of that data sits in siloed systems that nobody can query in real time.
On the controls side, aging infrastructure runs on legacy PLCs and outdated SCADA platforms that are expensive to maintain, difficult to secure, and increasingly unable to support modern operational requirements. Controller migrations get delayed because nobody wants to take a critical asset offline. Network architectures designed 15 years ago can't support the data throughput that modern analytics and AI require.
The gap between the control system and the business system is where value leaks out. Production data that never reaches the people making capital decisions. Maintenance that stays reactive because the data to predict failures exists but can't get to the right model. Compliance reports compiled manually from numbers that a SCADA system already has.
We close that gap — from the instrument in the field to the dashboard in the boardroom.
Real control systems
for real energy infrastructure.
As an oil and gas system integrator and energy controls engineering firm, our automation engineers design, program, and commission systems across power generation, upstream and midstream oil and gas operations, pipeline SCADA, refinery process control, and utility networks.
PLC Programming & Controls
Structured PLC logic on Allen-Bradley and Siemens platforms for power generation, pipeline, and process applications. Safety instrumented systems (SIS) for emergency shutdown and critical process protection. Turbine control upgrades, compressor sequencing, pump station automation, and distributed well site control. Code designed for maintainability — because the technician troubleshooting at 2 AM needs to understand the logic without calling the programmer.
View serviceCustom energy software,
operational intelligence.
AI-powered operational intelligence and oil and gas data analytics that connect energy operations to business decisions.
Production Data & Asset Analytics
Custom analytics platforms that unify operational data from SCADA, historians, IoT sensors, and field systems into a single, queryable source of truth. Asset performance dashboards that track availability, efficiency, and health indicators across your entire fleet. Production reporting that pulls directly from control systems instead of relying on operators to transcribe numbers. Well production analysis, turbine performance trending, grid load analytics, and pipeline throughput monitoring — all connected to the data that's already flowing through your control systems.
View serviceReal projects,
measurable results.
A SCADA system that finally scales.
An oil and gas producer had outgrown their SCADA architecture. The original system monitored 30 well sites — now they had 120+, and the legacy SCADA server was struggling with tag count, polling rates, and remote connectivity. Adding new sites required weeks of configuration, and alarm floods during upsets made the system nearly unusable. We redesigned the SCADA architecture on Ignition with a hub-and-spoke model — edge gateways at each well site handling local control and data buffering, with a centralized gateway for enterprise visibility, alarm management, and historical trending. New well sites now deploy in days instead of weeks, and alarm rationalization reduced nuisance alarms by 70%.
Maintenance that stops being reactive.
A power generation company was spending $3M+ per year on unplanned turbine maintenance — emergency repairs, expedited parts, and lost generation revenue. We deployed vibration and thermal sensors on critical rotating equipment, built a real-time data pipeline from the control system to a cloud-based ML platform, and trained anomaly detection models on 18 months of baseline data. The system now flags bearing degradation, rotor imbalance, and thermal anomalies 3–6 weeks before failure, giving maintenance teams time to plan outages around generation schedules instead of reacting to emergency shutdowns.
The data nobody could use.
An oil and gas operator had 8 years of SCADA historian data across 40+ well sites — temperature, pressure, flow rates, vibration — all sitting in an on-premise PI historian that only two people in the company knew how to query. We built a data pipeline that extracts, transforms, and loads operational data into a cloud-based analytics platform with proper OT/IT segmentation. Engineers can now query production trends, compare well performance, and identify optimization opportunities from a browser. Decline curve analysis that used to take days now runs in minutes.
A controller migration without the shutdown.
A utility's water treatment facility was running on Allen-Bradley PLC-5 controllers — discontinued hardware with no vendor support and a shrinking pool of spare parts. A full plant shutdown for migration wasn't feasible because the facility serves 200,000 residents. We executed a phased migration to ControlLogix over four planned maintenance windows, migrating one process area at a time while the rest of the plant continued operating. Each phase included I/O checkout, logic validation, and operator training before the next phase began. The migration completed with zero unplanned downtime and zero service interruptions.
Platforms & technologies
we work with.
Energy systems operate at
the OT/IT boundary.
Critical infrastructure protection requirements for bulk electric system cyber assets. Network segmentation, access management, and security monitoring.
Industrial automation and control system cybersecurity. Secure-by-design architecture for systems that touch OT networks.
Functional safety for safety instrumented systems in the process industry. SIL assessment, SIF design, and safety lifecycle management.
Data management and reporting systems designed to support pipeline safety compliance requirements.
Automated data collection, calculation, and report generation for environmental compliance.
Security, availability, and confidentiality controls for cloud-hosted operational platforms.
Built for 24/7 operations,
not adapted to them.
Both sides of the stack.
Most automation firms don't build cloud software. Most software firms have never touched a PLC. We operate in both worlds, which means your SCADA upgrade and your predictive maintenance platform are designed together by the same team — not stitched together after the fact by two vendors who don't talk to each other.
We understand OT.
Our automation engineers design control systems. Our software engineers build analytics platforms. They sit in the same company and work on the same projects. That means your cloud-based asset analytics platform is designed by people who understand how SCADA data is generated, what polling rates mean for data quality, and why you can't just open a port on the control system network to stream data to the cloud.
We don't break what's working.
Energy infrastructure runs 24/7. We design integrations and migrations that don't require taking operational systems offline. Read-only connections to historians and SCADA systems. Phased controller migrations that keep assets running. Change management that respects the operational realities of your assets.
Straight answers.
Yes. Our automation division designs and deploys control systems across power generation, pipeline operations, refinery process control, and utility infrastructure. Our software division 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.