Software for factories that cannot stop.
Machine data you can act on, maintenance before the breakdown, quality inspection that never tires, and production systems connected to the ERP. For manufacturers and operators whose software has to run as reliably as the line.
Who we work with in Manufacturing & Industrial
- A plant with machines that produce data nobody looks at until something breaks.
- A quality team inspecting by eye at a rate the line has outgrown.
- An operations team tracking production in spreadsheets alongside an ERP nobody trusts.
- A manufacturer on a twenty-year-old system that cannot be switched off to replace.
What slows Manufacturing & Industrial down, and what we build for it
Four problems we see in nearly every Manufacturing & Industrial engagement. Pick one to see how we approach it and what you would have at the end.
The problem
PLCs, sensors, and machines each speak a different protocol, data is trapped on the shop floor, and the only dashboard is a whiteboard.
How we approach it
Ingestion from PLCs and sensors over OPC UA, MQTT, and vendor protocols into a time-series store, with dashboards and alerts that reach the people who can act.
What you get
- Ingestion over OPC UA, MQTT, and vendor protocols
- Time-series store with retention and rollups
- Production dashboards for OEE, downtime, and throughput
- Alerts to shift leads by threshold and anomaly
A typical Manufacturing & Industrial scope. Tick what you need.
The artefacts most Manufacturing & Industrial projects end up with. Tick the ones yours needs and send the list with your enquiry; we reply with a written scope in your vocabulary.
Related reading
- How to build an AI analytics assistant'Ask your data a question' is a text-to-SQL problem wearing a chat interface. The architecture that makes it trustworthy: schema grounding, guardrails, and a query the user can check.
- Enterprise RAG: what changes with real documents, permissions, and scaleA RAG demo answers questions about a clean folder of PDFs. An enterprise deployment has to handle permissions per document, millions of pages, and daily churn.
- RAG architecture: the pipeline from document to answerIngestion, chunking, embedding, retrieval, reranking, generation: the six stages of a production RAG pipeline, and where each one quietly determines answer quality.
Questions Manufacturing & Industrial clients ask
Can you connect to our PLCs and machines?
Yes. We work with OPC UA, MQTT, Modbus, and vendor-specific protocols, and with the gateway hardware already on the floor where possible.
Does the software run on site or in the cloud?
Usually both: data collection and anything latency-sensitive runs on site, analytics and dashboards run in your cloud. The scope decides where each part lives based on connectivity and policy.
How do you replace a system that cannot go offline?
One function at a time, with old and new running in parallel and reconciled until the numbers match, then a cutover with a rollback plan. The Legacy Modernization workflow describes the phases.
How much data do you need for predictive maintenance?
Months of machine data and a record of failures to learn from. Where that history does not exist, we start with rule-based alerts and anomaly detection, and build prediction as data accumulates.
Tell us what you are building.
We reply within one business day with how we would build it, what it would cost, and which engagement model fits.
- 01Tell us what you are building
A short form or an email. No deck required, and "not sure yet" is a fine answer.
- 02A call with an engineer
Within one business day. Technical questions get technical answers, from the person who would build it.
- 03A written scope and quote
Fixed price where the scope is defined. The document is yours whether or not you go ahead.