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Industries and Manufacturing

Industry 4.0 systems — connected plants, intelligent supply chains, and software shop floors actually adopt.

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The landscape

Smart manufacturing without the smart-manufacturing slideware.

"Industry 4.0" has been described to death and implemented unevenly. The pattern we see: pilots run on islands of OT data, dashboards exist nobody on the line opens, and the integration to ERP / SCM / quality stacks is one engineer away from collapse. The plants that win make it boring — they treat the data backbone, the asset and process hierarchy, and the operator-facing experience as first-class engineering, not pilots.

We build MES and EBR systems, IIoT platforms, predictive-maintenance models, digital-twin overlays, supply-chain visibility stacks, and the analytics surface plant managers actually use during their walk-around. We engineer against the standards your control systems and auditors already speak — ISA-95 for system architecture, OPC UA for device interop, ISA/IEC 62443 for OT cybersecurity, and the applicable parts of FDA 21 CFR Part 11 / GAMP 5 for regulated manufacturing.

And we measure what plants actually care about: OEE, scrap rate, first-pass yield, unplanned downtime — not vanity dashboards.

Industries and Manufacturing

ISA-95

L0–L4 architecture aligned

OPC UA

Standard device interop

62443

OT cybersecurity by design

OEE+

Real metrics, plant-floor visible

Challenges we hear

What slows industrial-digital programs

OT / IT integration

SCADA, historians, PLCs, MES, ERP, WMS, QMS — each with their own data models. Integration usually lives in someone's head and a few Excel files.

OT cybersecurity

Plant networks were designed assuming air-gap. Connectivity introduces a threat surface OT teams haven't traditionally owned — and IT security tooling doesn't fully cover.

Unplanned downtime

Top operational cost driver across most plants. Condition-monitoring and predictive maintenance pay back fast — when wired into the maintenance workflow, not a dashboard nobody opens.

Workforce shift

Retiring tribal knowledge and connected-worker apps that operators actually use are now strategic. Touchscreen-MES with poor UX is a non-adoption story waiting to happen.

Supply-chain visibility

Tier-2 / tier-3 supplier insight is opaque in most networks. Disruptions cascade because the visibility window is too small.

Sustainability reporting

CSRD, CDP, SBTi — Scope 1, 2, and 3 reporting is now investor-grade. Data has to come from the same plants and supplier feeds that already exist.

How gmware helps

What we build for manufacturers

MES / EBR

Work-instruction execution, electronic batch records, deviation / CAPA workflow, OEE tracking. Integrated to SAP, Oracle, IFS, and shop-floor systems.

IIoT Platforms

OPC UA gateway / unified namespace, historian replacement, edge compute (AWS Greengrass, Azure IoT Edge), data backbone to cloud lakehouse.

Predictive Maintenance

Anomaly detection on vibration / temperature / load signals, remaining-useful-life models, integrated into CMMS work-order generation.

Quality & Vision Inspection

Computer-vision inspection on the line, defect classification, statistical process control, defect-cost analytics back to design.

Supply-Chain Visibility

Control-tower platforms across orders, shipments, inventory; supplier risk scoring; ETA prediction with port / weather signals.

Connected Worker Apps

Tablet / wearable apps for operators & technicians — digital work instructions, defect capture, AR overlays where they earn it. Designed for gloves, noise, and shift handoffs.

Standards & Compliance

Standards we engineer to

ISA-95

Enterprise-control integration

ISA-88

Batch control

OPC UA

Device interop

ISA/IEC 62443

OT cybersecurity

21 CFR 11 / GAMP 5

Regulated manufacturing

ISO 27001 / 27019

IT & energy controls

ISO 22301

Business continuity

CSRD / SBTi

Sustainability reporting

Outcomes

KPIs we help teams move

OEE

Avail. × Perf. × Quality

Unplanned downtime

Hours per line per month

First-pass yield

% off-line first time

Scrap rate

Units & $, by line

FAQ

Common questions

A single, semantically organized message bus (usually MQTT-based, ISA-95-aligned) that every system publishes to and subscribes from. Replaces the spaghetti of point-to-point integrations between MES, ERP, historian, and analytics. Done right, new use cases plug into existing topics in days, not quarters.

Both. Edge runs deterministic, latency-sensitive workloads (vision inspection, real-time control assistance) — the cloud aggregates, models, and serves enterprise-level analytics. The boundary is engineering, not philosophy: anything that has to keep working when the WAN drops belongs at the edge.

10–25% reduction in unplanned downtime is realistic when the model is wired into the maintenance workflow (CMMS work-order generation, parts on hand, technician availability). Without that wiring, dashboards alone rarely move the metric.

Purdue-Reference-Model-aligned segmentation, one-way data diodes for the most sensitive zones, IEC 62443 controls, and proof that loss of WAN doesn't stop the line. OT teams aren't reflexively against the cloud — they're against losing autonomy and uptime. Address both directly.

Services we deliver here

Products that fit

Browse other industries we serve

Bringing your plants online — without the cargo-cult dashboards?

30 minutes with our industrial practice. We'll talk OT data, the right wedge use case, and the shortest path to a result a plant manager will care about.