Modern manufacturing factory floor at night showing rows of industrial machinery with glowing amber indicator lights and dramatic scale of automated production lines
Manufacturing software development company
Custom Manufacturing Systems

A manufacturing softwaredevelopment company connecting your ERP,shop floor, and data.

We build ERP integrations, MES platforms, IoT data pipelines, and OEE dashboards that replace the Excel tracking your shop floor still runs on. SAP, Oracle, Dynamics 365, and custom MES from Sprint 1.

Live production dashboard • Plant floor
OEE Score
0%
Units / Hour
0
Lines Active
0/0
Defect Rate
0%
Shift Output
0
The Manufacturing Data Problem

Most manufacturers run their shop floor on Excel. Their ERP does not know what their machines are doing.

Manufacturing operations manager reviewing a unified real-time MES production dashboard with healthy green KPIs on a clean workstation in a bright factory office
What most manufacturers live with
  • Production data in spreadsheets that are 24 hours out of date
  • ERP that shows inventory quantities without showing why they are wrong
  • Machine downtime discovered hours after it starts
  • Production orders that do not sync with actual shop floor status
Old way
Machine downtime recorded on paper by the operator, typed into Excel at end of shift
New way
Machine sends OPC-UA stop event in real time. Dashboard alerts the supervisor in 90 seconds.
Old way
Inventory reconciliation takes 3 days each month. Results are still inaccurate.
New way
ERP captures raw material consumption at the batch level in real time. Inventory is always accurate.
Old way
Production manager guesses capacity. Sales promises delivery dates that the shop floor cannot meet.
New way
MES feeds live capacity and work-in-progress data into the ERP. Sales quotes delivery dates from actual production data.
Manufacturing Operations Center

This is what your factory floor looks like when every system is connected.

Real-time OEE, machine health, production throughput, and inventory delta, all from a unified platform that talks to your ERP, machine sensors, and shop floor operators simultaneously. All metrics are live examples of what we build.

Plant OEE
0%
+2.4pp versus last shift
Units Produced
0
Target: 8,400 this shift
Defect Rate
0.0%
Service-level agreement target: below 1.5%
ERP Sync
Live
SAP S/4HANA • 8s ago
Production Line Status
RUNNING
Line A-01
847 units/hr
RUNNING
Line A-02
912 units/hr
MAINT
Line B-01
Scheduled PM
RUNNING
Line B-02
766 units/hr
RUNNING
Line C-01
1,024 units/hr
STOPPED
Line C-02
Jam detected
RUNNING
Line D-01
889 units/hr
RUNNING
Line D-02
943 units/hr
OEE Breakdown
0% OEE
Availability0%
Performance0%
Quality0%
Live Alerts
02:14 agoLine C-02: jam detected • operator notified
18:45 agoLine B-01: PM scheduled • window confirmed
31:02 agoShift A handover complete • 7,842 units
ERP Sync • SAP S/4HANA
Production Orderssynced 8s ago
Inventory Movementssynced 12s ago
BOM Confirmationsqueued (3)
Quality Recordssynced 4s ago
Manufacturing Software Capabilities

Custom software for manufacturing. Four systems, one connected platform.

Manufacturing engineer in safety vest reviewing integrated MES platform on large monitor near active production line with ambient factory and fluorescent overhead lighting

We connect custom software for manufacturing to your existing ERP before writing a single custom data object. SAP via BAPI calls and OData endpoints. Oracle via REST APIs and database connectors. Dynamics 365 via Power Automate and direct API. The ERP data model is mapped in discovery so the integration does not fight the existing system.

SAP S/4HANAOracle CloudDynamics NAV/365
API development services →
ERP Sync Monitor • SAP BAPI Integration
POST /sap/bapi/BAPI_GOODSMVT_CREATE
Authorization: Bearer sap-oauth-token
Content-Type: application/json
200 OK • GoodsMovement created • synced to MES
3 BOM confirmations queued • retry in 30s

OPC-UA for direct machine connectivity where the equipment supports it. MQTT for lightweight sensor telemetry at scale. Time-series databases (InfluxDB, TimescaleDB) for storing and querying high-frequency production events. Data architecture is sized for your actual machine count and sensor frequency before any infrastructure is provisioned.

OPC-UA ServerMQTT BrokerInfluxDB / TimescaleDB
IoT Telemetry Stream • OPC-UA Live
ns=2;s=Line_A01.SpeedActual847 units/hr
ns=2;s=Line_A01.TempActual78.4C
ns=2;s=Line_A01.StatusRUNNING
50ms polling interval • writing to InfluxDB • 2.4k events/min

A custom MES connects your production orders from the ERP to the actual work happening on the shop floor. Operator touchscreen interfaces for production start, stop, and quality recording. Real-time work-in-progress tracking, BOM consumption at the unit level, and automatic reporting back to the ERP after each production run.

.NET • PythonTouchscreen operator interfacePostgreSQL • Redis
MES Operator Interface • Line A-01
Active Work Order
WO-24-8472 • Part A12B
Target: 500 units • Produced: 347 • 69.4%
CONFIRM UNIT
LOG DEFECT

OEE is the product of Availability, Performance, and Quality. Measuring it requires capturing machine stop events, actual versus target cycle times, and reject counts. We build OEE dashboards that pull these values from machine sensors or operator inputs and calculate OEE per line, per shift, and per plant. Shift handover reports, downtime Pareto analysis, and trend views included.

Real-time OEEShift reportsDowntime Pareto
OEE Dashboard • Plant Summary
94.2%
Availability
91.8%
Performance
98.6%
Quality
85.3% OEE
World class benchmark: 85%+
Client Result

Manufacturing software modernization at Phoenix Flexibles: Excel and manual tracking replaced with integrated ERP across finance, inventory, and production.

Manufacturing • Packaging
Phoenix Flexibles
Environmentally friendly flexible packaging manufacturer. Rapid growth from 2010. Excel-based operations across finance, inventory, and production.
ERP IntegrationDynamics NAVEXIM
Manufacturing manager reviewing real-time production and inventory data on integrated ERP interface with natural office light and over-shoulder perspective showing live data
The problem

Phoenix Flexibles relied heavily on manual data entry using Excel for finance, inventory, and production tracking. The lack of system integration caused inefficiencies, data inaccuracies, and limited visibility into resource utilization. These issues affected production planning, inventory control, and decision-making, while also complicating export documentation and compliance with international trade requirements.

  • Excel-based finance, inventory, and production data with no integration
  • Inaccurate inventory caused production planning failures
  • Export documentation handled manually, compliance risk on international trade
What we delivered

Microsoft Dynamics NAV was implemented as a centralized ERP to unify finance and inventory management. The ERP was integrated with production to capture raw material consumption at unit and batch level. An EXIM module was installed for export-import documentation and statutory compliance. Sales and quotation workflows were automated to reduce manual error and improve response time to customers.

Result
0%
reduction in manual data entry across finance, inventory, and production after ERP go-live
Why Manufacturing Buyers Choose Redefine

Three things our manufacturing software developers do that most software companies cannot do in a factory.

ERP-first architecture
01
We map your ERP data model before writing a single custom object
Most developers learn your ERP mid-project. We scope the BAPI calls, OData endpoints, and data contracts in Week 1.
This prevents the most common manufacturing integration failure: a custom system that was built against the wrong ERP data model and requires months of rework.
Shop floor literacy
02
OEE, BOM, work-in-progress, and OPC-UA are not concepts we look up. They are our starting vocabulary.
We build the discovery phase around manufacturing domain questions, not software questions. Bill of materials, production routing, shift patterns, and quality tolerance specifications are documented before Sprint 1.
Generic developers spend your time learning the manufacturing domain. You pay for their education.
All industry services →
IoT patterns we have built before
03
High-frequency time-series data from machines is not a general programming problem
OPC-UA subscriptions, MQTT topic hierarchies, time-series database schema design, and backpressure handling for dropped packets are challenges we have already solved.
We scope your sensor frequency, retention requirements, and alert latency targets in discovery. The architecture is defined before writing any code.
Common Questions

What plant managers and engineering leads ask before an engagement.

We build ERP integration layers, Manufacturing Execution Systems, IoT sensor data pipelines, OEE dashboards, warehouse management systems, and production planning applications. We connect custom software to SAP, Oracle, Dynamics 365, and other ERP systems your shop floor already uses. See the live dashboard above for an example of what the connected platform looks like.

Yes. We integrate with SAP via BAPI calls and OData services, Oracle via REST APIs and database connectors, and Microsoft Dynamics 365 via Power Automate and direct API. We map the ERP data model in discovery before writing any custom objects so the integration does not fight the existing system structure.

We use OPC-UA for machine connectivity where the equipment supports it, MQTT for lightweight sensor telemetry, and time-series databases like InfluxDB or TimescaleDB for storing and querying high-frequency production data. The data architecture depends on your machine count, sensor frequency, and whether you need real-time alerting or batch analytics.

OEE is Overall Equipment Effectiveness: Availability times Performance times Quality. In software, this requires capturing machine runtime and downtime events (Availability), actual versus target cycle time per unit (Performance), and defect and reject counts (Quality). We build OEE dashboards that calculate these values per line, per shift, and per plant from machine sensor data or operator inputs.

A standard ERP integration connecting a custom MES or analytics application to SAP or Oracle typically takes 12 to 16 weeks. Timeline depends on the number of integration endpoints, data volume, whether the ERP is on-premises or cloud, and the complexity of domain-specific data transformations. We scope before we quote.

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Form
48 hours
Response time
3 days
Scoped proposal
OPC-UA
MQTT and IoT
You own the code
Full handoff

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