Manufacturing Software Development Services
Manufacturing software that connects the shop floor to the system of record.
Production counts, downtime reasons, quality records, and material use should not need an end-of-shift spreadsheet before the ERP can see them. We build focused manufacturing software and integrations around an existing plant stack, starting with one costly information gap rather than replacing every control, planning, and maintenance system at once.
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
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The brief
Start with what is not working.
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Are operators recording production or quality events twice because plant and business systems do not share dependable data?
Is a proposed MES, IoT, or AI programme broader than the operational decision it is meant to improve?
Plain answer
Manufacturing software development creates or extends the applications between plant equipment, operators, and business systems. RaftLabs builds focused production workflows, MES extensions, ERP integrations, and plant-data applications when standard software leaves a costly operational gap. A first release covers one bounded operator or production workflow, its application layer, and one integration path, with each phase and fixed price agreed before development starts.
What to remember
- Build around one costly information gap rather than replacing the whole plant stack.
- Production counts, downtime, quality records, and material use should reach the ERP without an end-of-shift spreadsheet.
- A clear decision, accessible systems, and an accountable plant owner matter more than a long feature list.
- The first release ships one bounded shop-floor workflow with a single integration.
- Connect PLC, SCADA, MES, ERP, and CMMS data where the gap requires it.
The ERP says the order is open. The line says it finished two hours ago.
An operator records the count on paper. Quality enters the hold elsewhere. Planning waits for a batch export, while maintenance receives a screenshot of the alarm.
The useful first project is rarely "digitise the factory." It is one path where delayed or untrusted information changes a production decision. We preserve systems that work and close that gap.
Delivery record
- shipping production software
- Since 2015
- RaftLabs delivery record
These are company-wide facts, not manufacturing outcome claims. RaftLabs does not publish a named manufacturing case study. We will not promise an operational improvement before your baseline and constraints are known.
Custom manufacturing software fits a valuable repeatable gap, not a vague transformation programme.
A clear decision, accessible systems, and an accountable plant owner matter more than a long feature list.
A production, quality, maintenance, or material workflow repeats often and its current failure has a measurable cost.
The workflow crosses equipment and business systems that cannot be configured to exchange the required context cleanly.
Plant, IT, and process owners can provide access, representative data, and time for operator validation.
A standard MES, ERP, CMMS, QMS, or reporting product already covers the workflow with supported configuration.
The project begins with AI or a dashboard but has no named decision, baseline, or owner.
The first release requires replacing every plant system or writing to safety-critical controls without a governed validation path.
The first decision is not what to build.
It is whether software is the right answer at all. We use four possible recommendations before discussing a development scope.
- 01
Buy
Choose a maintained product when it handles the core workflow and the remaining gaps can be solved with configuration, a connector, or a small process change. Paying for software you do not have to maintain is often the better trade.
- 02
Repair
Keep the existing product when users still get value from it and the code can be understood safely. Start with evidence: where the code lives, how the data is organized, what is tested, which outside services it depends on, who can access what, and how updates go live.
- 03
Build
Own the system when the production record shapes margin, customer experience, speed, or a product customers pay for. Start with one complete path and the system connections that path cannot work without.
- 04
Wait
Do not turn a changing policy into permanent software. Stabilise the rules, name the workflow owner, and measure the cost of the current process before paying for a product.
Not sure which path is yours? Bring it to a 30-minute call. Leave with the answer in writing.
Where should this work live?
This hub is for cross-system application work. OEE covers production-loss measurement. QMS covers controlled quality records. Calibration covers instrument status and traceability. A digital twin covers a live asset model for a defined monitoring or simulation decision.
Configure, buy, or custom
| Existing or specialist product | Focused custom software | |
|---|---|---|
| Best fit | A standard workflow covered by supported modules and connectors | A valuable workflow shaped by proprietary equipment, data, or rules |
| System authority | The product becomes or already is the system of record | Existing ERP, MES, QMS, or CMMS remains authoritative |
| Change | Teams adapt to the product's operating model | The application follows a justified operating constraint |
| Commercial model | Licence, configuration, and vendor roadmap | Fixed delivery phases and software ownership |
| Main risk | Workarounds and unused breadth | Owning support for a bespoke production path |
We will recommend configuration or a specialist product when it solves the problem cleanly. Custom code earns its place only when the operating difference is important enough to own.
Scope
What belongs in a focused manufacturing release
Operator and production workflow
Design the task around work orders, counts, material, reasons, quality checks, instructions, recovery, and degraded behaviour. Touch, scanning, gloves, shared stations, shift changes, and language needs are product requirements.
Plant and business-system integration
Move approved data through gateways, APIs, queues, or files without creating an accidental master. Map equipment, material, order, batch, lot, location, and users; retain timestamps and source identity; reconcile failed or duplicate transactions.
Quality and maintenance handoffs
Route holds, deviations, inspections, downtime reasons, alarms, and work requests. Software can collect evidence and assign follow-up, but authorised people retain quality and maintenance judgment.
Operational reporting
Build views from governed production events, with definitions for planned time, good count, scrap, rework, changeover, and downtime. Show data gaps and late events instead of turning incomplete records into precise-looking performance numbers.
Support and integration operations
Monitor freshness, interface failures, queues, device state, application health, and unresolved records. Provide reconciliation tools, access controls, deployment records, runbooks, and named ownership.
How it works
From plant constraint to supported release
- Phase 101
Define the operational gap
Select one production, quality, maintenance, or material-flow problem and record its users, decisions, systems, baseline, and acceptance measures.
- Phase 202
Prove data and workflow fit
Test equipment access, system interfaces, identifiers, latency, operator conditions, exception paths, and a representative production scenario before the wider build.
- Phase 303
Deliver the focused release
Deliver the operator workflow, integration, controls, reporting, and support tooling in reviewable increments against production-like data and equipment.
- Phase 404
Roll out and establish ownership
Run a controlled release, reconcile results with existing records, train owners, monitor integration health, and expand only after the first workflow is dependable.
Risk
Constraints to settle before the estimate
- Access and network boundaries
- Document vendors, protocols, gateways, plant zones, read and write authority, remote access, and approval lead times. A connectivity assumption is not an integration test.
- Identifiers and event meaning
- Agree how orders, materials, machines, lots, shifts, states, and timestamps map across systems. Similar labels often hide incompatible business meaning.
- Operational continuity
- Define buffering, retry, offline work, reconciliation, manual fallback, deployment windows, and rollback before operators depend on the new path.
- Outcome attribution
- Record the baseline and external factors. Software can improve the speed and reliability of a decision; it cannot guarantee throughput, yield, or downtime results on its own.
Related manufacturing software decisions
- 01
OEE Software
Measure availability, performance, and quality from governed line events.
- 02
Quality Management System
Control nonconformance, CAPA, documents, audits, and supplier-quality records.
- 03
Digital Twin Development
A live asset model for a defined monitoring or simulation decision.
- 04
IoT Development
Connect devices, gateways, telemetry, and applications with an operable data path.
What it costs
Every project starts at $10000.
The first phase puts production counts, downtime, and quality records into the ERP without the end-of-shift spreadsheet.
Starting investment
Starts at $10000
A focused manufacturing release feeding production data to the ERP in near real time. After a 30-minute call, you get a written build, buy, repair, or wait recommendation plus first-phase direction. Free, whether or not you build with us.
Work with us
Show us the production handoff that keeps breaking.
Bring one workflow, the systems it crosses, and a sample record. We will tell you whether configuration, a specialist product, or a custom build is the sensible route.
- Scope and cost agreed before work starts. No surprises. No obligation.
- Working prototype within 3 weeks of kickoff.
- Pay by milestone. You see progress before each invoice.
- 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
- All conversations are NDA-protected.
Common questions
We build focused production and operator workflows, MES extensions, plant-data applications, ERP and CMMS integrations, quality-record systems, OEE views, and maintenance or material-flow tools. We do not propose a new platform until we understand which existing system should remain authoritative and which operational gap creates the business case.
Configure the existing product when it can support the workflow without fragile workarounds. Buy a specialist product when the process is standard and its connectors fit. Custom development is justified when a valuable repeatable workflow crosses proprietary equipment, unusual rules, or systems that a standard product cannot connect cleanly.
We can build software around documented APIs, industrial gateways, files, queues, and approved read paths. The exact design depends on equipment, network zones, vendors, identifiers, write authority, and data quality. Connectivity is tested during discovery; a protocol name alone is not evidence that a production integration will be safe or reliable.
Buy when the work is multi-plant standard processes or regulated certified workflows. Build when the production processes are unusual, job-shop or mixed batch-continuous work, or deep IoT integration needs that generic platforms handle poorly. Hybrid keeps a proven finance ledger with bespoke operations on top.
Budgets blow up most reliably when requirements are unclear at the start. MES-to-ERP integration alone frequently runs as the largest single line item in a discrete manufacturing project. A vendor cannot scope integration accurately if nobody mapped the machines, migrations, and non-negotiable workflows first. Run a fit-gap review, not a demo marathon: prove recall, lot genealogy, QA holds, and supplier traceability under pressure. Vendors who cannot give a clear implementation timeline or who downplay integration complexity when asked are telling you something about how the project will actually go.
An ERP replacement can solve old problems or just move fragile spreadsheets into pricier software if scope is poorly defined. Start with one record lifecycle or one production line whose current workaround creates material operating risk.
A focused first release covers one bounded operator or production workflow, its application layer, and one integration path. Multiple plants, legacy equipment, safety-relevant writes, computer vision, offline edge operation, or broad MES replacement add scope. We agree each phase and fixed price before development starts.
The plan is set after access and scope are ready. Hardware procurement, plant shutdown windows, vendor approvals, validated environments, historical-data repair, and multi-site rollout can extend the plan. We prove the riskiest interface early and plan production changeover with plant owners.