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Manufacturing

From whiteboards to live production data.

Shop-floor apps, machine monitoring, quality tracking and ERP integration for manufacturers who still run part of the plant on paper.

What Manufacturing teams tell usSolved
  • “Production status lived on a whiteboard”
  • “Breakdowns always came as a surprise”
  • “Quality records were paper in a binder”
  • “Supplier updates arrived by email”
Built for the standards you answer to
  • ISO 9001Quality management
  • IEC 62443Industrial security
  • ISO 27001Info security
  • 21 CFR Part 11Electronic records
  • OPC UAMachine data
  • GDPREU data protection
Why it is hard

What makes Manufacturing software different

Six things we plan for on every manufacturing project, before a single screen is designed.

The floor is not an office

Gloves, noise, shared tablets and patchy Wi-Fi. Tools must work with big buttons, barcodes and no signal.

What we actually do
  • We test on the floor, with gloves, in real noise
  • Offline-first: data saved locally and synced when Wi-Fi returns
  • Big buttons, barcode scanning and minimal typing

Machines of every age

A new CNC talks OPC UA, a twenty-year-old press talks nothing. Data has to come from both.

What we actually do
  • Gateways that read OPC UA, Modbus or simple sensors
  • Older machines retrofitted with low-cost sensors
  • All data in one live view, whatever the machine age

The ERP is the source of truth

Orders, stock and costs live in the ERP. New tools must feed it cleanly, not replace it.

What we actually do
  • Two-way ERP sync through supported APIs only
  • No changes to your ERP core
  • Clear error queue when the ERP rejects a record

Machines that fail without warning

Unplanned downtime on one line can stop an entire plant and miss shipments.

What we actually do
  • Sensor data collected from PLCs and machines
  • Alerts on vibration and temperature trends
  • Maintenance work orders created automatically

Quality issues found too late

Defects caught at final inspection mean scrapped batches and costly rework.

What we actually do
  • In-line quality checks logged per batch
  • Defect photos and causes captured at the station
  • Traceability from raw material to shipped order

ERP numbers nobody trusts

Shop-floor counts are typed in at the end of a shift, so the ERP never matches reality.

What we actually do
  • Tablet or scanner capture at each station
  • Real-time sync with SAP, Oracle or NetSuite
  • Daily variance report for supervisors
Problems we solve

Real problems, and what we built

The kind of day-to-day problems manufacturing teams bring to us, and how we typically solve them.

Production status lived on a whiteboard

Custom Software Development
The problem

Supervisors walked the floor to find out which jobs were running, and the office only knew at the end of the shift.

What we built

A tablet app at each station to scan a job, log start, stop, quantity and scrap, which works offline and syncs to the ERP.

What changed

Planners see live job status from their desk, and output is recorded once instead of on paper and again in the office.

Offline-first web appBarcode scanningERP API

Breakdowns always came as a surprise

AI Automation
The problem

Machines failed without warning, stopping a line until a part arrived.

What we built

Sensors and controller data streamed to a dashboard, with alerts when temperature, vibration or cycle time drift from normal.

What changed

Maintenance gets warning signs early, so more repairs are planned instead of urgent.

OPC UA / MQTTTime-series databaseAnomaly alerts

Quality records were paper in a binder

Custom Software Development
The problem

Inspection sheets were filled in by hand, so tracing a faulty batch meant searching through binders.

What we built

Digital inspection checklists with photos and measurements, linked to each batch and lot number.

What changed

A batch can be traced in seconds, and audit preparation takes hours instead of days.

Digital formsPhoto captureLot traceability

Supplier updates arrived by email

AI Automation
The problem

Purchase-order confirmations and delivery dates came in by email and were typed into the ERP.

What we built

A supplier portal where suppliers confirm orders and delivery dates, with AI reading the emails from those who do not use it.

What changed

Buyers see confirmed dates in the ERP automatically, and late deliveries are spotted early.

Supplier portalAI email readingERP sync
Platforms and technology

The systems we connect on the shop floor

ERPs, machine protocols and quality tools, joined up so data flows from the floor to the office.

SAP S/4HANAProduction, inventory and finance integration
Microsoft Dynamics 365Supply chain and operations
Oracle NetSuiteOrders, inventory and work orders
Siemens / Rockwell PLCsMachine data via OPC UA and gateways
OdooManufacturing and MRP modules
Epicor / InforMid-market ERP integrations

Technology stack

Shop-floor apps
ReactPWA (offline-first)Flutter
Backend
Node.jsPython.NETJava
Industrial data
OPC UAMQTTModbusInfluxDBTimescaleDB
Cloud and edge
AWS IoTAzure IoT HubDocker at the edge

Third-party integrations

ERP
SAPDynamics 365NetSuiteEpicorInfor
Supplier and EDI
EDI X12 / EDIFACTSPS Commerce
Quality
Digital checklistsSPC toolsLIMS
Maintenance
FiixUpKeepIBM Maximo
Shipping and logistics
ShipStationFedExUPSDHL
Documents
DocuSignSharePointBox

Using something not listed? If it has an API, we can connect it

What we do

How we help Manufacturing teams

Shop-floor and operator appsRugged, offline-ready apps for job tracking and checklists.Custom Software DevelopmentMachine data and monitoringConnect old and new equipment to one live view.Cloud EngineeringERP integrationClean, two-way links with SAP, Dynamics, NetSuite and others.Custom Software DevelopmentDocument and email automationPOs, delivery notes and certificates read and filed by AI.AI Automation

Tell us the problem.

We will tell you honestly what it would take and what it would return.

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