MES modernisation and rollout.
Replacing paper, Excel, and legacy MES with a modern platform. Multi-plant, multi-line, with governance the corporate team can trust and flexibility the plant manager needs.
MES, SCADA integrations, digital twins, predictive maintenance, and the shop-floor-to-top-floor data fabric. Built for plants that run 24/7 where a bad release stops the line.
Manufacturing software runs on a different clock. A 30-second API outage is a tolerated incident in SaaS and a stopped production line in a plant. The engineering discipline has to treat the real world (PLCs, sensors, OT networks, union rules, maintenance windows) as a first-class part of the architecture.
We've delivered MES rollouts, OEE platforms, predictive-maintenance pipelines, and digital twins for discrete and process manufacturers. Every project has an ops playbook signed off by plant engineering before go-live, because the people paged at 3am aren't our engineers. They're the night shift.
A sample of what we've built in this sector. We omit client names by default and share them under NDA when you want to dig into a specific engagement.
A modern data platform that connects scattered sources — APIs, SaaS apps and databases — and turns them into structured, analytics-ready data through no-code and SQL-based pipelines, so teams can query a governed warehouse without waiting on engineering.
AI-powered procurement and supplier-collaboration platform for manufacturers, replacing email chains, spreadsheets and manual follow-ups with structured workflows.
A web and mobile app for operations, built with React Native and Django. Core workflows, records and reporting run through one validated data model that non-technical staff operate day to day.
A web app for operations, built with React, Flask, GCP and Python. Core workflows, records and reporting run through one validated data model that non-technical staff operate day to day.
A web app for a focused workflow, built with React, Django, AWS, Python, Jenkins and Kafka. The core workflow is modelled properly once, so data stays consistent and the product is straightforward to extend.
A web app for operations, built with Angular, amCharts and DevExtreme. Core workflows, records and reporting run through one validated data model that non-technical staff operate day to day.
A web and mobile app for operations, built with React Native, Django and Django REST Framework. Core workflows, records and reporting run through one validated data model that non-technical staff operate day to day.
A web app for connected devices, built with Django REST Framework, MQTT and Python. Field devices stream into one dashboard with history and alerting, so operators act on live data instead of site visits.
A web app for operations, built with React and Reactstrap. Core workflows, records and reporting run through one validated data model that non-technical staff operate day to day.
A web app for connected devices, built with Node.js, Python and JavaScript. Field devices stream into one dashboard with history and alerting, so operators act on live data instead of site visits.
A mobile app for connected devices, built with React Native. Field devices stream into one dashboard with history and alerting, so operators act on live data instead of site visits.
A mobile app for operations, built with React Native and Django REST Framework. Core workflows, records and reporting run through one validated data model that non-technical staff operate day to day.
An operations platform on React, Django, Django REST Framework and PostgreSQL, replacing spreadsheets, email and ageing tools. Records and reporting run through one validated data model that non-technical staff operate day to day.
Built with React and Django over PostgreSQL for an operation running on spreadsheets and email. Core workflows and reporting share one validated model, and the people using it every day are not engineers.
Replacing paper, Excel, and legacy MES with a modern platform. Multi-plant, multi-line, with governance the corporate team can trust and flexibility the plant manager needs.
Sensor ingestion, protocol bridging (OPC UA, Modbus, MQTT), time-series storage, and the analytics surfaces that turn the data into decisions, not just dashboards.
Vibration, thermal, and process-variable models with alerting that the maintenance team actually acts on. Measured in downtime hours avoided, not model accuracy.
Plant, line, and process twins for throughput planning, what-if analysis, and operator training. Built on Omniverse or bespoke stacks depending on the fidelity required.
Work-order execution, quality capture, traceability, production scheduling. Designed around the tablet in a glove, not the desk in an office.
Availability, performance, quality, measured honestly. With the plant-manager cockpits and corporate rollups the leadership chain actually uses.
ERP-to-MES-to-PLC glue. SAP, Oracle, Dynamics on one side, Siemens, Rockwell, Schneider on the other. With the data model discipline to make the glue outlive the vendors.
Demand forecasting, S&OP, constraint-based scheduling. Models the planners trust because they can interrogate the assumptions.
Pick the shape that matches the commitment. Each model ships the same engineering standard. The difference is commercial and operating fit.
A cross-functional pod owning a workstream end-to-end.
A fully-managed engineering arm built in-region.
Senior engineers plugged straight into your team.
Book a 30-minute call with our manufacturinglead. Bring the problem; we'll talk through which engagement actually matches the work.
Most clients renew for a second engagement. The ones who don't usually hire someone from our team to run the project in-house.
Yes. Manufacturing execution, OEE and performance monitoring, quality and traceability, predictive-maintenance pipelines, and digital twins. Plant software has to survive an environment where the network is imperfect and a stopped line costs money every minute, so resilience beats elegance in every trade-off.
Yes, through the standard industrial interfaces such as OPC UA and MQTT, and through historians where they are already in place. The operational-technology boundary is respected: analytics and reporting workloads read from a clearly defined interface rather than reaching into control systems directly.
By making the plant able to keep running without us. Edge buffering so data survives a connectivity loss, staged rollouts with a tested rollback, and an ops playbook signed off by plant engineering before go-live — because the people paged at three in the morning are the night shift, not our engineers.
14 projects delivered in this sector. We staff engagements with engineers and delivery leads who've shipped in Manufacturing & industrial before. The domain literacy is learned, not looked up.
We work to ISA-95, traceability law, safety standards per sector, and export-control rules. Every engagement starts with a compliance review so there's no ambiguity about which regimes apply. Every release ships with the audit trail your compliance team needs.
Yes. Most of our engagements connect to MES, SCADA, historians, OPC UA, PLCs (Siemens, Rockwell, Schneider), and ERPs (SAP, Oracle). We adopt your existing integration patterns rather than imposing a new one, and we write data contracts before we write integration code.
We design for 24/7 shop-floor deployments, plant-safe releases, and OT/IT segmentation from day one, not as a post-launch afterthought. Performance budgets, SLO commitments, and ops runbooks are written into the statement of work.
Either. Manufacturing & industrial engagements run under all three of our engagement models. Dedicated teams, offshore development centres, or embedded staff augmentation. We pick the shape that matches your operating model, not our preferred one.
Discovery typically runs two to four weeks from first call to signed statement of work. First-engineer start dates follow within another week or two. The exact timeline depends on the shape and on the clearance or onboarding your environment requires.
Thirty minutes with an engineer who builds. No sales, no drip campaign. If we're the wrong fit we'll tell you and point you somewhere better.