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. Client names omitted — we share them under NDA when you want to dig into a specific engagement.
A data fabric platform that unifies 300+ operational sources — APIs, SaaS tools, and databases — into a governed, analytics-ready warehouse with no-code pipelines on top.
AI-powered procurement and supplier-collaboration platform for manufacturers — replacing email chains, spreadsheets and manual follow-ups with structured workflows.
A consultancy-led real-time analytics and data-science platform for industrial operations — shop floor telemetry fused with enterprise data for decision-grade dashboards.
A digital-marketing and SEO platform that helps businesses rank on Google and AI search surfaces via crawling, keyword research, backlink graphs and AI-driven content optimisation.
An IoT reference platform demonstrating how MQTT, microcontrollers and a web UI can automate home appliances securely over the internet.
A DIY smart-mirror display that overlays time, weather and news on a two-way mirror over a Raspberry Pi-driven screen — modular and extensible.
An AI data-integration and analytics platform connecting CRM, accounting and payment systems into a unified environment with auto-generated dashboards and predictive insights.
A comprehensive VR experience that simulates the complete workflow of a water-treatment laboratory — built on Unreal Engine and delivered via Pixel Streaming so learners run it inside a browser, no install required.
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 in the commercial and operating fit.
Most clients renew for a second engagement. The ones who don't usually hire someone from our team to run the project in-house.
17 projects delivered in this sector. We staff engagements with engineers and delivery leads who've already shipped in Manufacturing & industrial — the domain literacy is learned, not looked up.
Thirty minutes with an actual engineer. No sales, no drip campaign. If we're the wrong fit we'll tell you and point you somewhere better.