15+
Years of Experience
Manufacturing Software Development
AI-first engineering for manufacturing: predictive maintenance and defect-detection models behind MES platforms, IoT machine monitoring, quality control and shop-floor apps, built to keep lines running and auditable.
- 2010
- Operating since
- 9,000+
- Projects delivered
- 3,900+
- Apps published
- 120+
- AI products shipped
Trusted by the brands we build for
40+
Industrial Projects Delivered
23%
Avg. Downtime Reduction
9 Plants
Connected in a Single Deployment
Manufacturing solutions we build
Shop floor, quality lab, and supply planning, engineered as one system.
MES & production tracking
Work orders, batch records, and line status in real time. Supervisors see throughput and bottlenecks live, which turns the morning meeting from archaeology into adjustment.
- ✓Work Order & Routing Management
- ✓Batch & Lot Records
- ✓Real-Time Line Status Views
- ✓Downtime Reason Capture
- ✓OEE Dashboards
IoT machine monitoring
Sensor telemetry from PLCs and machines with anomaly alerts. A bearing that runs three degrees hot gets flagged on Tuesday, not when the line stops on Friday.
- ✓PLC & OPC-UA Data Ingestion
- ✓Machine Health Dashboards
- ✓Anomaly & Threshold Alerts
- ✓Energy Consumption Tracking
- ✓Multi-Plant Rollup Views
Predictive maintenance
Failure prediction models that schedule maintenance before breakdowns. Unplanned downtime is the most expensive hour in manufacturing, and prediction is how you stop buying it.
- ✓Failure-Prediction Models
- ✓Maintenance Work Order Automation
- ✓Spare Parts Availability Checks
- ✓Technician Mobile Workflows
- ✓MTBF & Reliability Reporting
Quality control & traceability
Inspection workflows, SPC charts, and lot traceability from raw material to shipment. When the recall question comes, the answer is a query, not a warehouse search.
- ✓Digital Inspection Checklists
- ✓SPC Charts & Capability Studies
- ✓Lot & Serial Traceability
- ✓Non-Conformance (NCR) Workflows
- ✓Supplier Quality Scorecards
Shop-floor & operator apps
Tablet-first apps for operators: checklists, job handoffs, and deviation reporting. Records are captured at the machine instead of reconstructed from memory at shift end.
- ✓Digital Checklists & Sign-Offs
- ✓Job Handoff Notes
- ✓Deviation & Stoppage Reporting
- ✓Photo-Tagged Records
- ✓Multi-Language Interfaces
Planning & inventory
Production scheduling and material planning against demand forecasts. Procurement runs against plans instead of panicked phone calls, and expediting fees stop appearing on the P&L.
- ✓Production Scheduling & Capacity
- ✓Material Requirements Planning
- ✓Demand Forecast Inputs
- ✓Supplier Order Management
- ✓Inventory & Warehouse Sync
A complete manufacturing stack across every role
Operators, engineers, and planners, each with tools built for their shift.
Operator app
Built for gloves, noise, and shared devices. Big targets, digital checklists, and one-tap deviation reports, because a record captured at the machine is the only record worth having.
- ✓Digital Checklists & Sign-Offs
- ✓Job Start, Stop & Handoff
- ✓Deviation & Stoppage Reporting
- ✓Photo-Tagged Records
- ✓Machine Status at a Glance
- ✓Multi-Language UI
Maintenance & quality app
Where reliability lives. Work orders, inspection results, and parts availability in one workflow, so a predicted failure becomes a scheduled task instead of a stopped line.
- ✓Predictive Maintenance Alerts
- ✓Work Order Execution & Sign-Off
- ✓Inspection & SPC Data Capture
- ✓NCR & CAPA Workflows
- ✓Spare Parts Lookup & Reservations
Plant & admin console
The plant command center. Production, quality, maintenance, and planning data converge in one console, so plant meetings run on the same numbers the machines produce.
- ✓OEE & Throughput Dashboards
- ✓Downtime & Root-Cause Analytics
- ✓Quality & Traceability Reports
- ✓Maintenance Scheduling Views
- ✓Planning & Capacity Models
- ✓Multi-Plant Comparisons
insight
How your manufacturing platform pays back
Admin-configurable operational levers include maintenance trigger thresholds, inspection sampling rates, alert escalation chains, and planning horizon rules. Each lever moves one of two numbers that decide plant economics: unplanned downtime and defect escape rate. We baseline both in discovery and report against them at handover.
The payback compounds across plants. Once one line's recipes, checklists, and maintenance schedules are digitized, rolling them out to the next site is configuration, which is how a single-plant pilot becomes a network standard without a second procurement cycle.
Every build ships with
Standard on every manufacturing platform we deliver.
100% Source-code ownership
MES logic, IoT pipelines, and integration layers transfer to you. No per-machine royalties, no vendor dependency on your own production data.
Shop-floor-proof engineering
Offline tolerance, gloved-hand UX, and legacy PLC bridges tested in real plants, not just conference-room demos.
Audit-ready records
Lot traceability, electronic sign-offs, and immutable audit trails generated by normal operation, so quality audits pull reports rather than archaeology.
Support beyond handover
60 days of dedicated post-launch support and 12 months of updates. Ready-made foundations deploy on your branding in 6 working days.
Industrial projects that kept lines running
Heineken
A brand entertainment hub distributing video campaigns to global audiences. We engineered the CDN-backed delivery layer and the campaign analytics that track views through to conversion. 25M+ video views and a 2.2X lift in watch time followed.
25M+
Video Views
2.2X
Watch Time
18%
Conversion Lift
Flyereats
A food delivery platform handling live order streaming and multi-restaurant management. Our engineers built the order state machine, courier routing, and merchant dashboard that keep thousands of concurrent orders in sync. The result was 32% faster deliveries across 2M+ completed orders.
2M+
Orders Delivered
32%
Faster Delivery
4.7/5
App Rating
Marvel Studios
A fan streaming experience with trailers, behind-the-scenes content, and global premiere events. We built high-concurrency streaming infrastructure that held up during worldwide release drops. That engineering carried 10M+ streams to a 65% completion rate.
10M+
Streams
65%
Completion Rate
4.9/5
App Rating
How a manufacturing build runs with Moxace
From PLC audit to the first predicted failure, on a written plan.
- 01
Discovery & plant audit
We map your machines, PLCs, workflows and record-keeping obligations before proposing anything, so the platform matches reality rather than a datasheet.
✓ step 01 complete - 02
Architecture & integration plan
OPC-UA, historian and ERP bridges scoped in the free feasibility study, with the downtime data model designed before build starts.
✓ step 02 complete - 03
Agile build sprints
Two-week sprints with demo builds your line leads and quality team can pressure-test.
✓ step 03 complete - 04
Line pilot & QA
Single-line pilot with OEE, alert quality and adoption metrics tracked before plant-wide rollout.
✓ step 04 complete - 05
Rollout & support
Line-by-line and plant-by-plant rollout with 60 days of post-launch support and 12 months of updates.
✓ step 05 complete
The stack behind our manufacturing platforms
Industrial-grade engineering from sensor to dashboard.
IoT & telemetry
OPC-UA, MQTT and historian ingestion with anomaly alerting, patterns shared with our energy app development work.
Predictive models
Failure prediction and defect detection from our machine learning services practice, trained on your line data.
MES & records
Work orders, lot traceability and electronic sign-offs on audited services.
Integrations
ERP (SAP, Oracle) and supply chain connectors, patterns from our logistics software development work.
Mobile & shop floor
Glove-friendly operator and maintenance apps on Swift, Kotlin and Flutter.
Cloud & edge
Hybrid edge-cloud deployments for plants with restricted connectivity.
/09
Why choose Moxace for manufacturing software development
We have shipped for plants where an unplanned hour of downtime is the most expensive hour of the month.
OT-to-it bridging
Clean integrations with PLCs, historians, and ERPs, because the bridge between the machine layer and the software layer is where most industrial projects quietly fail.
Downtime as a metric
Predictive maintenance and reason-code analytics target unplanned downtime directly, the most expensive hour in manufacturing, with results reported against your baseline.
Shop-floor-proof UX
Gloved hands, shared tablets, and noisy environments are design constraints we test in real plants, because operator adoption decides whether the data exists at all.
Traceability by design
Lot and serial lineage captured as work happens, so the recall question is a query instead of a warehouse search.
Multi-plant scale
Once one line is digitized, the next plant is configuration, with 100% source-code ownership so your standard belongs to you, not a vendor.
Fixed quotes and written dates
Every increment is scoped and priced before work starts, with 60 days of post-launch support and 12 months of updates included.
FAQ's
$ moxace launch --nowReady to cut unplanned downtime?
Get a free plant systems review and digitization roadmap from our industrial 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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