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Manufacturing & Industry 4.0

Nearshore Manufacturing Software Development

Industry 4.0 engineering from Poland. We build IIoT monitoring platforms, OEE dashboards, MES systems, SCADA integrations and custom ERP modules for manufacturers in US, Germany and UK. Senior Polish engineers with real shop-floor experience and integrations to SAP, Comarch, Microsoft Dynamics and S/4HANA.

15+
Years in business
200+
Projects delivered
94%
Client retention
EU
GDPR jurisdiction
Clutch
Verified reviews →

Trusted by teams across Europe

Chemobudowa Bruk-Bet Bakotech Grupa Matejek Mostostal Kraków Irix Lens Codibly Plastrol Badura URBA Polan CH Beck Avrii CSP Automotive Aspironix Sternet FoxEvents BBPV Tekkni Bruk-Bet Godox Genesis Gear Legprzem ISK School Galicja Museum Jobman Group NewMedical Prokocim Nowy Humanity in Action
In short

Why US and EU manufacturers use Polish nearshore for Industry 4.0 projects

Poland is the largest manufacturing hub in Central Europe — automotive (VW, Toyota, Stellantis all manufacture in PL), white goods, precision machining, aerospace. Polish engineers grow up inside real factories. PLC, Profinet, Modbus, OPC-UA, SCADA — this is not new tech here, it's baseline. We integrate with SAP, Comarch, Microsoft Dynamics and SAP S/4HANA natively, because Polish enterprises run on these systems. Real shop-floor experience at $55-75/h vs $160-240/h for US industrial software agencies.

Manufacturing platform on shop floor
What we build

6 categories of manufacturing software we specialize in

IIoT & machine monitoring

Real-time monitoring of production machines. MQTT + edge gateways, time-series databases (InfluxDB, TimescaleDB), dashboards for operators and management.

  • MQTT, OPC-UA, Modbus, Profinet
  • Edge gateways (Raspberry Pi, Siemens IOT2050)
  • InfluxDB / TimescaleDB / Kafka
  • Retrofit for legacy machines

OEE dashboards

Real-time OEE (Availability × Performance × Quality) for individual machines, lines, shifts, plants. Drill-downs to loss causes. Target: 70-85% OEE for well-monitored plants.

  • Real-time OEE calculation
  • Loss-cause categorization
  • Shift and line dashboards
  • Benchmarking across plants

MES & SCADA integration

Integrate MES (Siemens Opcenter, Aveva, Wonderware) with ERP, quality, and maintenance. Build custom HMIs and operator terminals when off-the-shelf doesn't fit.

  • MES-ERP bi-directional sync
  • Custom operator HMIs (React, web-based)
  • Recipe & batch management
  • Work instruction displays

Custom ERP & ERP integrations

Either integrate with SAP / Dynamics / NetSuite / Comarch, or build custom ERP modules for processes off-the-shelf can't handle (complex BOMs, make-to-order, project manufacturing).

  • SAP ECC + S/4HANA (OData, RFC)
  • Microsoft Dynamics 365
  • Comarch ERP XT / Optima / Altum
  • Custom ERP modules

Predictive maintenance

ML models predicting failures from vibration, temperature, current and acoustic data. Integrated with CMMS (Computerized Maintenance Management System). Typical results: -40% unplanned downtime.

  • Time-series anomaly detection
  • Remaining Useful Life (RUL) models
  • CMMS integration (Maximo, UpKeep)
  • Cost model: fail vs preventive swap

Digital twins & simulation

Digital representations of production lines for simulation, training, and scenario planning. 3D visualization, bi-directional binding to physical sensors.

  • Three.js / Unity-based visualization
  • Real-time sensor binding
  • What-if scenario modeling
  • Operator training simulators
Industry 4.0 software in 2026?

IIoT, OEE, MES, ERP integrations. Senior engineers raised inside real Polish factories.

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Real client — Bruk-Bet

Manufacturing CRM replacing 6 years of Excel

Bruk-Bet is a Polish construction materials manufacturer (concrete, paving, roofing). Their sales team was running on 14 interconnected Excel files — pricing, orders, inventory projections, customer history. We built a custom CRM integrated with Comarch ERP XT for real-time inventory and invoicing.

Results

18 hours/week saved across 5 sales reps. Zero pricing errors in invoicing (vs 3-4/week before). Sales pipeline visibility from operator dashboards. Full implementation in 4 months with a 5-person nearshore team.

Read full Bruk-Bet case study →
Industry 4.0 software in production
In practice

Engineers raised inside real factories

Poland is the largest manufacturing hub in Central Europe. PLC, Profinet, Modbus, OPC-UA, SCADA — baseline knowledge, not premium add-ons. Native experience integrating with SAP, Comarch, Microsoft Dynamics and SAP S/4HANA.

Real shop-floor delivery for clients in Polish manufacturing, plus US and EU mid-market manufacturers replatforming legacy ERP layers. Industrial protocol fluency, OT/IT segmentation per IEC 62443.

See full case study
FAQ

Manufacturing nearshore FAQ

IIoT (Industrial IoT) monitoring platforms for machine data, OEE (Overall Equipment Effectiveness) dashboards, MES (Manufacturing Execution Systems), SCADA integrations and HMI extensions, custom ERP modules or full ERPs for specialty manufacturers, WMS (Warehouse Management Systems), predictive maintenance platforms, digital twin solutions, quality management systems, and production planning tools.

SAP (ECC and S/4HANA via OData and RFC), Microsoft Dynamics 365, Oracle NetSuite, Comarch ERP XT and Optima (large Polish ecosystem), Subiekt GT/nexo, enova365, IFS. We build both bi-directional synchronizations and SAP Fiori-style custom apps on top of existing ERPs.

Yes. We've retrofitted legacy machines (pre-2000s presses, CNC, injection molders) without MQTT, OPC-UA or Ethernet/IP. Approaches: external vibration and current sensors ($800-1500/machine), tower light readers translating stack-light state to MQTT, current transformers to detect machine on/off state, ModbusRTU-to-MQTT gateways for older PLCs, vision systems for cycle counting. Target: $1,000-$5,000 hardware per machine + software integration.

OEE (Overall Equipment Effectiveness) = Availability × Performance × Quality. Availability = (Runtime / Planned Runtime). Performance = (Actual Output / Ideal Output at nominal speed). Quality = (Good Parts / Total Parts). World-class is 85%+. Typical unmanaged plant: 45-60%. Well-monitored plant: 70-85%. Our dashboards calculate OEE in real-time from PLC/sensor data and break down losses by cause.

IIoT MVP for 5-10 machines: 2-4 months ($40-120k). OEE dashboard for single plant (20-50 machines): 4-6 months ($120-280k). Full MES deployment replacing paper-based workflows: 8-14 months ($250-800k). Predictive maintenance with ML models: add 3-5 months after data collection baseline is established. ROI typically 9-18 months through reduced unplanned downtime and labor savings.

Yes, with appropriate caution. OT networks (PLCs, HMIs, SCADA) are segmented from IT networks per IEC 62443 / Purdue Model. We implement data diodes for one-way data flow from OT to IT where required, use asset inventories and vulnerability scanning that doesn't interfere with real-time systems, and deploy SIEM rules specific to industrial protocols.

Mateusz Hauer
Mateusz Hauer
CEO, Hauer Power

Tell me what Industry 4.0 problem you want solved, scope and ERP stack. We propose audit and integration plan within 5 working days.

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