Automation and software
built for the plant floor.
Manufacturing doesn't need more dashboards. It needs systems that reduce downtime, catch defects before they ship, and give operators the data they need without burying them in noise. We build those systems — from the PLC logic controlling your machines to the AI models predicting your next failure.
Nodeblue works across both sides of the manufacturing stack as a manufacturing software development and industrial automation company. Our automation division designs and deploys control systems on production lines. Our software division builds the platforms, data pipelines, and intelligent applications that sit on top of those systems. Most firms do one or the other. We do both, and they talk to each other.
Technology bought as products, not engineered as systems. Most of it sits underutilized.
- —Operators ignore dashboards that don't reflect the line
- —Production data in six systems that don't agree
- —Plant floor and business systems never in sync
Control systems and software designed together — from PLC logic to AI models.
- Automation and software from one team
- Production data unified into a single source of truth
- Systems designed for how your plant actually runs
The problem with most
manufacturing technology.
Manufacturers have spent the last decade buying technology. MES platforms, IoT sensors, analytics dashboards, cloud subscriptions. Most of it sits underutilized because it was sold as a product, not engineered as a system.
The result: operators ignore dashboards that don't reflect how the line actually runs. Maintenance teams respond to alarms instead of preventing failures. Production data exists in six different systems and none of them agree. The plant floor and the business systems operate in parallel but rarely in sync.
We don't add more tools to the pile. We build systems that fit how your plant actually operates — integrated with your existing equipment, designed around your workflows, and engineered to run in production without babysitting.
Real control systems
for real production environments.
Our automation engineers design, program, and commission systems that run reliably on the plant floor.
PLC Programming & Controls
Structured PLC logic on Allen-Bradley and Siemens platforms, designed for maintainability and long-term reliability. Whether it's a standalone machine or a multi-line production system, we write code that your maintenance team can actually troubleshoot. Ladder logic, structured text, and function block — selected based on the application, not personal preference.
View serviceProduction software and
intelligent systems.
That connect the plant floor to business decisions.
Production Data & Analytics
Custom analytics platforms, OEE tracking, and operational dashboards built on your actual production data — not a vendor's demo dataset. Connected to historians, PLCs, and SCADA systems to surface metrics that drive real decisions. Shift reports, downtime Pareto, cycle time analysis, and quality trending designed for the people who actually use them.
View serviceReal projects,
measurable results.
Downtime that tells you why.
A multi-line discrete manufacturer was tracking downtime manually on whiteboards. Shift reports were inconsistent, root cause categories were different across shifts, and nobody trusted the OEE numbers. We deployed sensors and integrated with existing PLCs to capture downtime events automatically, built a real-time SCADA dashboard, and connected it to a custom analytics platform that categorized and Pareto-ranked downtime causes across all lines. Within 90 days, the team had reliable data that identified two chronic issues responsible for 40% of total downtime — problems that had been invisible in the manual tracking.
A control system that actually scales.
A growing contract manufacturer needed to add three production lines but their existing PLC architecture couldn't support the expansion without a full rip-and-replace. We designed a modular control architecture with standardized PLC code templates, consistent HMI standards, and an industrial network backbone on EtherNet/IP. Each new line deploys in weeks instead of months because the architecture was designed for expansion from the start.
AI that earns its keep.
A high-mix manufacturer was spending $200K+ per year on unplanned bearing failures across their CNC fleet. We deployed vibration sensors, built a data pipeline into a cloud-based ML platform, and trained anomaly detection models on three months of baseline data. The system now flags bearing degradation 2–4 weeks before failure, giving maintenance teams time to plan replacements during scheduled downtime instead of reacting to emergency shutdowns.
Platforms & technologies
we work with.
Both sides of the stack,
one accountable team.
Both sides of the stack.
Most automation firms don't build software. Most software firms have never touched a PLC. We operate in both worlds, which means your control system and your data platform are designed together — not stitched together after the fact by two vendors who don't talk to each other.
Engineers who've built at scale.
Our team includes engineers with backgrounds at Tesla, Amazon, Applied Materials, and Linde. We've built production systems in environments where downtime is measured in dollars per second and quality failures have real consequences. That mindset carries into every project.
We stay until it works.
No handoffs to a support team you've never met. The engineers who design the system are the same engineers who commission it, train your operators, and answer the phone when something needs attention six months later.
Straight answers.
Yes. Our automation division designs and deploys control systems on production lines. Our software division builds the platforms, data pipelines, and intelligent applications that sit 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 integrate with Allen-Bradley, Siemens, Beckhoff, and other platforms via EtherNet/IP, PROFINET, Modbus TCP, OPC UA, and MQTT. We also retrofit data collection onto existing equipment that was never designed for connectivity — using I/O monitoring modules and edge gateways.
We deploy sensors (vibration, thermal, current) on critical equipment, build a data pipeline into a cloud or edge ML platform, and train anomaly detection models on baseline data. The system flags degradation patterns 2–4 weeks before failure, giving maintenance teams time to plan replacements during scheduled downtime instead of reacting to emergencies.
It depends on scope. A focused OEE dashboard connected to existing PLCs is a different project than a plant-wide data platform with predictive maintenance and MES integration. We provide fixed-scope proposals after a discovery phase that defines the actual requirements and integration complexity.
Yes. We've built integrations with SAP, Oracle, Epicor, and custom ERP systems. Work order management, material tracking, production scheduling, and quality data flowing between plant floor and business systems without manual entry or spreadsheet intermediaries.
Usually not. Most plants need surgical upgrades that keep production running while the system improves around it. We build on top of existing PLCs, historians, and SCADA systems — adding data collection, analytics, and AI capabilities without ripping out what already works.
Ready to talk about your plant?
Whether it's a controls upgrade, a new production line, or an AI initiative that needs to connect to real equipment — tell us about the project.