Manufacturing software development for connected factories
Manufacturing software development for IoT and OEE monitoring, predictive maintenance, visual quality inspection and the ERP integrations that connect the factory floor to the back office.
AI systems running in production
building software since 2012
projects shipped since 2012
clients in 45+ countries
on Clutch, from 33 verified reviews
9001:2015 certified delivery process
Automotive, manufacturing and consumer brands we have worked with
What manufacturing software development covers
The data and intelligence layer on top of your plant.
- What is manufacturing software development?
- Manufacturing software development is the engineering of systems that collect, analyze and act on plant data. It covers IoT and sensor integration, OEE monitoring, predictive maintenance, computer-vision quality inspection, plant dashboards and ERP integration with SAP or NetSuite, for discrete and process manufacturers running new and older lines.
Where ScalaCode fits around your MES and ERP
We don't build full MES or MOM execution suites. If that is what you need to run the whole plant, we will say so on the first call and point you to a specialist.
- Our strength is the data layer above the plant. That covers IoT, OEE, predictive maintenance, quality-inspection AI and the ERP integrations around them.
- Clean data off older lines comes first. It is the hardest part of the job, so we solve it before any dashboard or model.
- Commissioning on site is a limit. If you need an engineer on the line during commissioning, the timezone gap from India makes that hard. For the build itself, the 4 to 5 hours of daily overlap we keep is enough.
Manufacturing software we build
From a single line to a multi-plant rollout.
IoT and sensor integration
We connect machines, PLCs and sensors so data leaves the floor and lands somewhere you can act on it.
See cloud and DevOpsOEE monitoring
One dashboard shows live availability, performance and quality, replacing the spreadsheet someone updates at shift end.
Predictive maintenance
ML models read sensor patterns and flag a failure before it stops the line, then alert the right technician.
Visual quality inspection
We train computer-vision models on your own images. They catch defects faster and more consistently than manual inspection late in a shift.
ERP and systems integration
We sync floor data with SAP, NetSuite and the systems you already run, so production and orders stay in step.
See custom software developmentDashboards and reporting
Plant and line dashboards show each role only the metrics it uses.
Want proof on one line before a plant-wide rollout?
Talk to us about the pilot that would pay off first.
Industrial IoT and machine data, built for plant-floor conditions
We design for spotty connectivity, rugged hardware and shift changes.
Discrete manufacturing
- Machine monitoring
- OEE on assembly lines
- Quality inspection
Process manufacturing
- Sensor and batch monitoring
- Anomaly detection
Industrial IoT
- Connecting equipment
- One analytics layer
Warehousing and intralogistics
- Predictive maintenance
- Sorting systems
Pilot one line, then scale across plants
We instrument one use case and roll out further once your team trusts the numbers.
The manufacturing software stack we work in
Chosen for the machines on your floor and the enterprise systems above them.
Predictive maintenance for warehouse equipment at a global logistics provider
ScalaCode built a predictive maintenance system for the warehouses of a global logistics provider. IoT sensors track equipment health, a Python machine learning model predicts maintenance needs, and a Vue.js dashboard alerts staff before equipment fails.
equipment monitoring
More industrial AI case studies
All case studies
ScalaCode vs the alternatives
Capex is tight on most plant projects. The table compares cost and fit across the usual options.
| In-house hire | Generalist agency | Industrial software vendor | ScalaCode | |
|---|---|---|---|---|
| Cost per dedicated engineer | High | Variable | High, license-locked | From $1,799 a month, published |
| Custom to your lines | Yes | Sometimes | Rarely, productized | Yes |
| AI and predictive capability | Rare | Rare | Add-on | Core |
| ERP integration | Depends | Sometimes | Often closed | Yes |
| Same team over time | Yes | Often no | Not applicable | Yes |
Three ways to start
IP assignment and NDAs are standard on every model.
Project build
We own a defined scope, such as a predictive-maintenance pilot or an OEE dashboard, from spec to ship.
Best for a bounded first project.
Dedicated team
A fixed squad owns your plant software roadmap for months, priced per engineer per month.
Best for multi-line or multi-plant programs.
Staff augmentation
Engineers slot into your team and report to your leads, billed monthly.
Best for a specific skill gap.
One team, 14 years of shipping
projects shipped since 2012
AI systems running in production
clients across 45+ countries
years building software, since 2012
Rated 4.8/5 by the clients we build for
Verified reviews from Clutch and GoodFirms, and clients on camera.
33 verified reviews on Clutch
Clutch review★★★★★“Working with ScalaCode was a rewarding experience. They brought structure, innovation, and a deep sense of partnership to the project, helping us take a meaningful step forward in how we manage and support our growing product ecosystem.”
Clutch review★★★★★“What set ScalaCode apart was their deep understanding of both the technical and practical aspects of our industry.”
Clutch review★★★★★“What truly distinguishes ScalaCode from others is their ability to understand industrial domain logic.”
GoodFirms review★★★★★“They translated complex requirements into an intuitive, scalable solution.”
GoodFirms review★★★★★“The app has transformed our operations, enabling real-time order tracking, reducing manual paperwork, and improving communication across departments.”
Clutch review★★★★★“What sets ScalaCode apart is their technical AI expertise and an understanding of a client's organizational ethos.”
Clutch review★★★★★“They understood the business side of our requirements and often brought up solutions or ideas we hadn't considered.”
Manufacturing software development FAQs
We will answer any other question on the call.
How much does manufacturing software development cost?
Every build starts with a free discovery sprint. An MVP such as OEE monitoring on one line starts from $9,999, custom software from $9,999 and enterprise software from $24,999. Dedicated engineers start from $1,799 a month, full-time.
Can you connect older machines and PLCs?
Usually yes. We connect PLCs, sensors and existing controllers through edge gateways and protocols such as MQTT and OPC UA. Where a machine cannot talk directly, we add a hardware bridge. Older plant software around those machines can move to a modern stack through our legacy modernization work.
Can you integrate with SAP or our ERP?
Yes. Floor data connects with SAP, NetSuite and other ERP systems, so production, inventory and orders stay in step without manual re-entry.
How does predictive maintenance work?
We train models on your sensor and failure history to spot the patterns that come before a breakdown, then alert the right technician with enough lead time to act. It runs alongside your existing maintenance schedule, and our ML engineers can join your team to own the models. The same approach applies to vehicle fleets in automotive.
Can the software run on-premise on the plant network?
Yes. Data collection, storage and dashboards can run on servers inside the plant network, with only the data you approve sent to the cloud. Edge gateways buffer readings when the internet link drops and sync when it returns. Utilities with SCADA networks face the same constraint, covered under energy and utilities.
How long does a manufacturing software project take?
A one-line pilot runs first, on a schedule fixed in writing after discovery. A multi-plant rollout follows on your cadence once your team trusts the numbers. Plant-wide programmes often grow into a broader digital transformation of paper and spreadsheet processes.
Do you build MES or MOM systems?
We build the data and intelligence layer around them, including IoT and OEE monitoring, predictive maintenance, quality-inspection AI and ERP integration. If you need a full MES, we will tell you on the first call and point you to a specialist.
Can you do visual quality inspection?
Yes. Computer-vision models trained on your own images inspect parts on the line and flag or divert anything that fails.
Who owns the code and the data?
You do. IP assignment is in the contract, NDAs are standard, and we set access controls to protect your production and machine data.
They understood the business side of our requirements and often brought up solutions or ideas we hadn't considered.
Scope your first plant pilot in 30 minutes
- Advice from a team that has worked with plant and sensor data
- The line or use case worth piloting first
- Free, with no obligation to build with us