From the bioreactor to the batch record —
one team, validated end-to-end.
Pharmaceutical manufacturing exists inside a regulatory framework that most technology companies don't understand. Every sensor reading, every batch parameter, every software change exists within a chain of evidence that regulators can — and will — trace. The control systems running your process equipment and the software managing your quality data aren't separate technology problems. They're one validated ecosystem, and they need to be engineered that way.
Nodeblue works across both layers as a pharmaceutical software development and life sciences automation company. Our automation division designs and deploys GMP-compliant control systems for pharmaceutical and biotech manufacturing — PLC programming, SCADA, environmental monitoring, and process equipment integration. Our software division builds validated platforms, data pipelines, and AI applications that manage quality, regulatory, and operational data across the drug manufacturing lifecycle. Both sides are designed for validation from day one.
Legacy PLCs, isolated environmental monitoring, and quality systems that can't talk to the plant floor.
- —Batch record review measured in days, not hours
- —Excursions discovered after the fact from data loggers
- —AI stalled because nobody owns the GxP path
Control systems, quality platforms, and AI engineered as one validated stack — from bioreactor to batch record.
- 21 CFR Part 11 and Annex 11 designed in from day one
- Phased migrations that keep validated state intact
- GAMP 5-aligned ML with a clear regulatory path
The problem with
pharma technology.
Pharmaceutical companies are among the most technology-dependent organizations in the world — and among the most constrained in what technology they can adopt. Every system that touches GxP data needs to be validated. Every change requires documented evidence. Every vendor needs to be qualified.
On the controls side, manufacturing equipment runs on legacy PLCs and proprietary control platforms that are expensive to maintain and painful to upgrade. Environmental monitoring systems operate in isolation from SCADA and quality systems. Controller migrations get delayed for years because nobody wants to re-validate an entire process area.
On the software side, organizations run on a patchwork of validated legacy systems — quality management, document control, LIMS, batch records — that can't communicate with each other without manual intervention. Data sits in validated silos. The AI revolution transforming every other industry moves at a crawl in pharma because nobody wants to put a machine learning model into a GxP workflow without a clear regulatory path.
The gap between these two worlds — the control system generating process data and the quality system that needs to consume it — is where inefficiency, risk, and manual work accumulate. We close that gap.
Control systems designed
for cGMP manufacturing.
As a pharmaceutical automation system integrator, we engineer every system for precision, cleanliness, traceability, and validation readiness — across bioreactor control, CIP/SIP sequencing, purification, filling, packaging, and environmental monitoring.
PLC Programming & Process Control
Structured PLC logic on Allen-Bradley and Siemens platforms for pharmaceutical process equipment. Bioreactor control, CIP/SIP sequencing, purification systems, filling and packaging lines, and material handling. Batch control logic designed per ISA-88 standards. Code structured for maintainability, with clear documentation that supports validation and change control.
View serviceCustom pharmaceutical software,
validated from day one.
Life sciences AI solutions and validated data platforms designed for GxP environments — from electronic batch record automation to regulatory submission AI and quality analytics, built for 21 CFR Part 11 and GAMP 5 compliance.
AI Agents & Workflow Automation
Intelligent systems that automate the document-intensive, approval-heavy workflows consuming pharma operations. Regulatory submission preparation agents that compile documents, check formatting requirements, and cross-reference data against source records. Deviation and CAPA workflow automation that routes investigations through the correct chain of responsibility, tracks root cause analysis, and ensures corrective actions are implemented on schedule. Batch record review automation that checks production records against master batch records, flags discrepancies, and routes exceptions for quality review.
View serviceReal projects,
measurable results.
Batch record review at the speed of production.
A pharmaceutical manufacturer was spending 15+ hours per batch on manual batch record review — quality reviewers checking hundreds of data points against master batch records, verifying calculations, and confirming signatures. The review was the bottleneck between production and release. We built an automated batch record review system that ingests electronic batch records from the MES, compares each data point against master batch record specifications, performs calculation verification, and generates a discrepancy report for quality review. Review time dropped by 70%, and release cycle time decreased from 5 days to under 2.
Environmental monitoring that doesn't rely on a clipboard.
A biotech manufacturer was monitoring cleanroom conditions with standalone data loggers that required manual download, manual data review, and manual excursion documentation. Excursions were sometimes discovered days after they occurred. We deployed a continuous environmental monitoring system integrated with the site's SCADA infrastructure — temperature, humidity, differential pressure, and particle counts streaming to a centralized platform with automated alarm notification, excursion documentation, and trend analysis. Quality review went from weekly manual downloads to real-time dashboards with automated exception reporting.
A controller migration without stopping production.
A sterile injectable manufacturer needed to migrate from legacy PLCs to ControlLogix across four filling lines — but couldn't afford extended shutdowns because every day of lost production represented significant revenue and patient supply impact. We executed a phased migration over planned maintenance windows, migrating one line at a time with full IQ/OQ documentation at each phase. Each line was validated and released to production before the next migration began. Total unplanned downtime across all four lines: zero.
Deviation management that works.
A biotech company's deviation management process ran through email, shared drives, and a tracking spreadsheet. Investigations stalled, recurring issues weren't identified, and auditors flagged the process. We built a validated deviation and CAPA management system with structured investigation workflows, automated routing and escalation, root cause analysis tools, effectiveness check scheduling, and trending analytics. Average investigation closure time dropped from 45 days to 18, and audit findings related to the deviation process were eliminated.
Platforms & technologies
we work with.
Every system we build
lives inside the framework.
Electronic records and electronic signatures. Audit trails, access controls, system validation, and operational checks designed into every application.
Computerized system requirements for GMP-regulated environments. Risk-based validation, data integrity controls, and periodic review.
Risk-based validation methodology applied across the full system lifecycle. Validation documentation that satisfies regulatory expectations without over-engineering the effort.
Data integrity principles embedded in system design — from the sensor generating the data to the report consumed by the regulator.
Batch control and enterprise-control integration standards applied to control system and MES architecture.
Functional safety and cybersecurity for pharmaceutical OT environments.
Quality risk management, pharmaceutical quality system, and lifecycle management principles applied to technology decisions.
Engineered for the
validated lifecycle.
Both sides of the validated stack.
Your bioreactor control system and your quality management platform operate in the same validated ecosystem. They should be designed by the same team. We engineer control systems and enterprise software for pharma — in the same company, on the same projects. That means your environmental monitoring data flows into your quality system through an architecture that was designed as one validated system, not two separate systems stitched together with middleware.
We design for validation from day one.
We don't build a system and then figure out how to validate it. Validation requirements shape the architecture, the testing strategy, and the documentation approach from the first design decision. Fewer surprises during IQ/OQ/PQ, faster time to validated state, and lower total cost of validation over the system's lifecycle.
We understand the quality culture.
Pharma isn't just regulated — it operates within a quality culture that permeates every decision. We build systems that reinforce that culture, with data integrity controls, audit trails, and process enforcement that make doing the right thing the easiest thing.
Straight answers.
Yes. Our automation division designs and deploys GMP-compliant control systems for pharmaceutical and biotech manufacturing — PLC programming, SCADA, environmental monitoring, and process equipment integration. Our software division builds validated platforms, data pipelines, and AI applications that manage quality, regulatory, and operational data across the drug manufacturing lifecycle. Both sides are engineered for validation from day one.
Every system we build that touches GxP data is designed for 21 CFR Part 11 and EU Annex 11 from the first design decision — electronic records, electronic signatures, audit trails, access controls, and operational checks built into the architecture rather than bolted on. Risk-based validation methodology per GAMP 5 with documentation that satisfies regulatory expectations without over-engineering the effort.
Yes. We execute phased migrations in validated manufacturing environments — Allen-Bradley PLC-5 to ControlLogix, Siemens S5 to S7, and proprietary OEM controller replacements — with re-validation strategies that leverage risk-based approaches per GAMP 5. Each phase maintains validated state through the transition, with IQ/OQ documentation that minimizes validation effort without compromising compliance.
Yes, with the right validation framework. We build explainable, auditable models with the documentation, validation evidence, and change control frameworks required for GxP environments — predictive quality, process optimization, adverse event signal detection, and clinical trial analytics. Designed to support human decision-making rather than replace it, with a clear regulatory path.
Control Systems: Allen-Bradley ControlLogix & CompactLogix, Siemens S7-1500 & S7-1200, Beckhoff TwinCAT. SCADA & HMI: Ignition, FactoryTalk SE & Optix, AVEVA System Platform, GE iFIX, Siemens WinCC. MES & Batch: Ignition MES, PharmaSuite, AVEVA Batch Management, custom ISA-88 implementations. Safety: Allen-Bradley GuardLogix, Siemens F-PLCs.
Yes. We've built batch record review systems that compare electronic batch records against master batch records, verify calculations, and generate discrepancy reports — reducing review time by 70%+ in production deployments. Deviation and CAPA workflow automation with structured investigation routing, root cause analysis tools, effectiveness checks, and trending — all within a validated framework.
Ready to talk about your project?
Whether it's a cGMP controller migration, a pharmaceutical quality management system, electronic batch records, or AI that works in a validated GxP environment — tell us what you're trying to solve.