2010
Operating Since
15+ years shipping apps
Manufacturing Industry Software Development
Manufacturers run on OEE, uptime and margin per unit, and software is now where those numbers are won. We build production monitoring, predictive maintenance, supplier portals and factory-to-customer commerce that make the plant visible in real time. You own 100% of the source code on delivery.
- 2010
- Operating since
- 9,000+
- Projects delivered
- 90+
- Ready platforms
- 100%
- Source-code ownership
Trusted by the brands we build for
Industrial platforms built since 2010
Track record behind every manufacturing engagement.
9,000+
Projects Delivered
across 35+ industries
3,900+
Apps Published
in 25+ countries
90+
Ready Platforms in Catalog
live in production
insight
What manufacturers need from software
Manufacturers need three kinds of visibility at once: machine-level visibility for uptime and OEE, process visibility for quality and traceability, and demand visibility for planning and customer promises. Legacy MES and ERP cover fragments of this; the connective layer is usually missing.
The build that works sits between OT and IT: it ingests PLC and sensor data without disturbing line control, turns it into dashboards and alerts operators act on, and connects the plant to suppliers and customers through portals and commerce channels.
We build production dashboards, maintenance systems, quality and traceability workflows, supplier and dealer portals, and D2C commerce fronts. For consumer-facing channels, patterns from our Swiggy clone app work power factory-to-customer ordering and delivery.
Features manufacturing platforms need on day one
The capabilities plant managers and CFOs both judge you by.
Real-time production monitoring
Machine status, cycle times and OEE on live dashboards. Downtime gets attributed while the shift is still on the floor.
Predictive maintenance
Sensor-driven anomaly models scheduling service before failure. Unplanned stoppage becomes a planned intervention.
Quality & traceability
Batch, lot and serial tracking from raw material to shipment. Recalls become a query, not an archaeology project.
Inventory & material planning
Stock levels, reorder points and consumption tracking tied to production schedules across plants.
Supplier & dealer portals
Ordering, forecasts, compliance documents and scorecards self-served by your network, cutting email chains.
Shop-floor operator apps
Glove-friendly tablets for shift handovers, checklists and quality capture at the line, not the office.
D2C & aftermarket commerce
Direct ordering for products, spare parts and service contracts, capturing margin intermediaries otherwise keep.
Energy & cost analytics
Consumption and cost per unit tracked line by line, so sustainability targets have numbers behind them.
Who we build for in manufacturing
Every node in the industrial chain gets a panel that fits its shift.
Discrete manufacturers
Assembly and fabrication operations needing OEE, traceability and scheduling across lines and plants.
Process manufacturers
Food, chemicals and materials producers needing batch records, quality checkpoints and regulatory traceability.
Industrial equipment makers
OEMs adding connected-product telemetry, service contracts and spare-parts commerce to the machine business.
Contract manufacturers
Job shops and CMs needing quote-to-cash visibility, client portals and WIP tracking across concurrent orders.
Industrial distributors
Channel players building dealer and customer portals on top of supplier networks.
Proof from platforms we have shipped
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
Etihad Airways
A high-traffic consumer platform our team ships and operates at national-carrier scale, the same bar every build is held to.
1M+
Monthly Users
40%
Engagement Lift
PragPlay
A consumer platform from the same engineering system, proving the infrastructure core holds under real-time load with strict uptime demands.
500K+
Players
99.9%
Uptime
Marvel Studios
A high-volume consumer experience our team ships at global-release scale, the same discipline applied to every launch.
10M+
Streams
65%
Completion
How a manufacturing platform build runs
Delivery discipline for systems where downtime is measured in money per minute.
- 01
Discovery & plant audit
We map lines, machines, data sources and workflows before proposing architecture, because the OT bridge decides the project's fate.
✓ step 01 complete - 02
Architecture & protocols
Ingestion design for OPC-UA, MQTT and ERP connectors, with capacity and latency targets set in writing.
✓ step 02 complete - 03
Agile build sprints
Two-week sprints with demo builds operators and plant leadership can pressure-test.
✓ step 03 complete - 04
Pilot line & QA
Deployment on one production line first, with adoption and data-quality metrics tracked before fleet-wide rollout.
✓ step 04 complete - 05
Plant-by-plant rollout
Phased expansion with post-launch support and product updates included.
✓ step 05 complete
insight
Industry dynamics that shape the build
Monetization and payback in manufacturing software come from direct, measurable levers: higher OEE from downtime attribution, fewer unplanned stops from predictive maintenance, less scrap from quality capture at the line, and new margin from D2C and aftermarket channels that used to belong to distributors.
The structural trend is servitization: equipment makers selling uptime and outcomes rather than machines. That business model is impossible without connected-product software, telemetry, service portals and billing, which is why more OEMs are building platforms than at any point in the industry's history.
Every manufacturing build ships with
Standard inclusions on every engagement. Nine things you never have to ask for.
100% source code, full IP
The complete unencrypted codebase transfers to you, with documentation and deployment scripts.
White-label branding
Your identity across operator apps, portals and commerce fronts, plus your domains.
OT / IT integration
PLC, SCADA and sensor data wired in during the build via OPC-UA and MQTT, without touching line control.
ERP & Supply-chain connectors
Integrations with SAP, Oracle and custom ERPs so plant data and business data agree.
AI models Pre-tuned
Predictive maintenance and anomaly detection arrive configured for industrial data, not as raw APIs.
Multi-plant and Multi-language
Plants, regions, languages and units configured for your footprint during the launch window.
Scalable cloud infrastructure
Containerized services on AWS or Azure with time-series storage sized for machine telemetry.
Security & audit logging
Role-based access, network isolation and audit trails, because OT-adjacent systems are attack surface.
Post-launch support and updates
Included support window plus product updates covering bug fixes, compatibility and version upgrades.
The stack behind our manufacturing platforms
Engineered for the plant floor, not just the head office.
Data ingestion
OPC-UA and MQTT bridges with Kafka and time-series pipelines sized for continuous machine telemetry.
Backend services
Node.js, Go and Java services with exactly-once event processing and audit trails.
Dashboards & portals
React-based OEE, quality and supplier portals with role-based plant access.
AI & predictive
Predictive maintenance and anomaly detection from our AI development services practice.
Mobile & shop floor
Flutter and native operator apps built for gloves, glare and dead zones.
Cloud & devOps
AWS and Azure deployments with edge-capable patterns and CI/CD.
Almost-ready AI launch or custom build: the honest comparison
Both tracks ship the same platform core. The difference is time, price structure and how much you want to change.
| Criteria | Almost-Ready AI Launch | Custom Build |
|---|---|---|
| Time to live | 6 working days from branding handoff | 3 to 4 weeks, scoped before work starts |
| Pricing | Fixed written quote after a short scoping call | Estimated per module after the discovery call |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| AI layer | Predictive maintenance and anomaly detection pre-tuned | Models designed around your machines and data |
| Integrations | Standard PLC, ERP and sensor feeds configured for you | Custom OT estates and ERPs scoped individually |
| Best for | Plants that need visibility this quarter | Operations with bespoke processes or products |
| After launch | Post-launch support and product updates included | Post-launch support and product updates included |
/11
Why manufacturers choose Moxace
We build for the failure modes others forget: the dropped telemetry, the integration that never quite landed.
OT / IT bridge expertise
Clean connections between line-level systems and modern dashboards. The integration layer is where most industrial projects quietly fail, and it is where we start.
Downtime-grade reliability
Event-driven pipelines sized for continuous telemetry and shift-day peaks, not average Tuesdays.
Traceability by design
Batch, lot and serial records generated automatically as a byproduct of normal work, so audits and recalls are queries.
Servitization-Ready
Connected-product telemetry, service portals and billing patterns for OEMs selling outcomes, not just machines.
You own the asset
100% source-code transfer means your digital factory estate is an asset on your balance sheet, not a per-line subscription.
Fixed, written timelines
Almost-ready builds go live in 6 working days and custom builds in 3 to 4 weeks, each confirmed in writing before work starts.
FAQ's
$ moxace launch --nowReady to make your plant visible in real time?
Get a free industrial software architecture review from our team.
- 01
Share your idea
a quick call, no deck required
- 02
See the live demo
every screen, admin to user
- 03
Launch with source
full code, your brand, your servers
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