Trusted by manufacturers worldwide
01 · The Opportunity
Manufacturers lose margin to unplanned downtime, shop-floor blind spots, and slow manual planning. Industry 4.0 changes that: connected machines, real-time OEE, and AI turn raw production data into decisions you can act on in the moment.
We help plants, OEMs, and industrial startups build software that connects equipment, people, and the supply chain into one system that scales.
Eight product types we build most often for plants, OEMs and industrial founders. Each starts as a scoped pilot on one line before it becomes a plant-wide platform.
Work orders, routing, traceability and shop-floor capture on tablets that survive dust, gloves and a night shift.
Machine, sensor and PLC data collected at the edge, buffered when the network drops and reconciled when it returns.
Failure models trained on your own machine history, with alerts that reach a technician who can act before the line stops.
Line and plant models that let you test a schedule, a layout or a changeover before you commit to it.
Availability, performance and quality dashboards drawn from the same data the operators enter, refreshed by the shift not the month.
Inspections, non-conformance and CAPA workflows with the evidence trail an auditor will ask for.
Odoo, SAP and legacy ERP connected to the floor, so planning sees what production actually did. See our sugar mill ERP case study.
Order status, certificates and forecasts shared with partners without another phone call to your planners.
From the shop floor to the supply chain, our solutions give you a connected suite to run leaner, smarter, and more competitively.
As a manufacturing software company, we build scalable systems with features that raise output, cut downtime, and improve plant efficiency.
Real-time work orders, scheduling, and shop-floor control with live OEE, throughput, and WIP across every line.
OPC-UA, MQTT, and Modbus connect CNC machines, PLCs, and sensors for remote monitoring and edge data capture.
ML models read vibration, temperature, and current signals to flag equipment failures days before they cause downtime.
Live virtual replicas of lines and plants to simulate output, plan capacity, and test changes with zero shop-floor risk.
Dashboards that turn machine data into OEE, scrap, and cycle-time insight leaders can act on in real time.
SPC, FMEA, and NCR tracking with computer-vision inspection to keep defect escape rates below 0.1%.
Demand forecasting, supplier tracking, and inventory optimization that cut carrying costs across the network.
Barcode and RFID-driven receiving, picking, and stock control synced live with production and ERP.
Seamless sync with SAP, Odoo, Oracle NetSuite, and Microsoft Dynamics, or a full ERP build from the ground up.
Manufacturing is digitising quickly, and most of the value sits in a handful of technologies applied where they change a production decision rather than because they are on a list.
Predictive maintenance, quality inspection and demand forecasting trained on your own machine data, via our AI development practice. See our predictive analytics case study.
Assistants that answer SOP, maintenance and safety questions from your own manuals, with the page cited rather than a confident guess.
Agents that raise purchase orders, schedule maintenance and chase certificates, with a person approving anything that spends money.
PLC, sensor and machine data collected at the edge and reconciled to the cloud, via IoT development.
We stay with technologies that have already run through a production shutdown and restart. That is what lets an engineer join before a shutdown window and be useful in the first week rather than the first month.
Operator and planner interfaces that stay readable on the floor and fast on old terminals.
MES, planning and integration services sized for shift changes and month-end reporting.
Rugged tablet and scanner apps that work offline and sync when the plant network returns.
Edge pipelines, time-series stores and OEE analytics that reconcile to the ERP.
By following agile principles, we adapt to shop-floor realities, collaborate closely with your operations team, and deliver your manufacturing software on schedule.
We map your production flow, equipment, data sources, and KPIs, then turn them into a phased roadmap before any code is written.
Our team studies line bottlenecks, downtime causes, and quality gaps to find where software will move OEE and margin the most.
Our designers create wireframes and high-fidelity screens built around operators, dashboards, and real-time shop-floor data.
Our engineers build fast operator interfaces backed by scalable APIs, time-series data pipelines, and edge services that stay quick under load.
We connect PLCs, sensors, MES, and ERP with OPC-UA, MQTT, and Modbus, with real-time sync handled from day one.
Every release passes automated testing plus load and failover tests that simulate peak production and sensor volume before go-live.
Phased rollout with real-time monitoring, then analytics and model tuning to keep OEE and uptime improving after launch.
Share your goals and get a feature roadmap, timeline, and cost estimate from our manufacturing software experts within 24 hours.
Case Study Spotlight
We engineered a connected MES and IoT platform with live OEE dashboards, OPC-UA machine data, and AI predictive maintenance, designed to turn downtime into uptime.
Plenty of firms can build a dashboard. Fewer have stood on a line at shift change and watched one get ignored. Six reasons manufacturers stay with us.
Big targets, glove-friendly flows and screens readable under sodium lights, because software the operator will not touch is software that did not ship.
Data captured and buffered at the machine, because the plant network drops and the line does not wait for the cloud to come back.
We judge a feature on availability, scrap and changeover time, not on logins. If it does not move those, it does not ship.
A 7,000 TCD sugar mill ERP and predictive analytics for a manufacturer are on our record, so discovery is spent on your process rather than on the basics.
Machine data and code stay on your servers or in your cloud, with an NDA before discovery. Offboarding is a permissions change, not a migration.
Discovery ends with a written scope and a fixed price. Shutdown windows do not move, so the timeline is built around them rather than our sprint calendar.
Real feedback from the founders and teams we have partnered with.
Appther rebuilt our internal platform from the ground up and made a genuinely complex system feel simple. Every department now works off a single source of truth, and delivery was on time and on budget.
They built our app and portal exactly the way we envisioned it: easy onboarding, smooth workflows and real-time results that keep users engaged. Our team no longer chases spreadsheets.
Every detail, tone, flow and privacy had to be handled with care, and Appther got that from day one. They turned a sensitive, complex idea into a product that feels warm, simple and genuinely helpful.
What you get with a manufacturing-focused engineering partner versus the alternatives.
Pick the model that fits your stage, from a scoped MVP to a long-running dedicated team.
Best for scoped MVPs: an MES pilot or IoT dashboard with a defined feature set and timeline.
Your own manufacturing software squad of engineers, QA, and a delivery lead working 40+ hrs/week as an extension of your team.
Best for evolving scopes: integrations, audits, and continuous improvement billed by effort.
Keep exploring
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Insights
Ideas and lessons from building manufacturing, Industry 4.0, and AI products.
We build MES, ERP integrations, industrial IoT platforms, predictive maintenance systems, digital twins, production analytics dashboards, quality management, and warehouse and inventory software.
AI powers predictive maintenance that cuts unplanned downtime by 30 to 50 percent, computer vision quality inspection, demand forecasting, and production scheduling, with measurable ROI within 6 to 12 months.
An MES monitors, tracks, and controls production in real time, connecting your shop floor to the top floor with live OEE, work-order, and quality visibility.
Yes. We integrate OPC-UA, MQTT, and Modbus to connect CNC machines, PLCs, and sensors, and we sync with SAP, Odoo, Oracle NetSuite, and Microsoft Dynamics, without replacing legacy equipment.
A digital twin is a live virtual replica of a line or factory, fed by IoT data, used to simulate production, plan capacity, and test changes before touching the shop floor.
A focused MES or IoT pilot typically takes 8 to 14 weeks. A full Industry 4.0 rollout with ERP integration and analytics runs 16 to 24+ weeks depending on scope, with positive ROI usually within 12 to 18 months.
Book a free consultation with our manufacturing software experts today.
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