Data, AI and automation
platforms for manufacturers
who want production floors
that report themselves.
Global supply pressure, rising costs and sustainability targets are pushing manufacturing toward smarter, connected operations — but most of that value is trapped behind siloed MES, ERP and SCADA systems. We build the data platforms and agentic AI that turn production data into decisions, from predictive maintenance to real-time OEE.
The problems that bring
manufacturers to us.
If any of these sound familiar, the constraint is probably the systems, not the shop floor.
Data trapped in siloed systems
Manufacturers often run dozens of systems acquired over years — MES, ERP, SCADA, quality and production data rarely sit in one place.
Visibility gaps on the production floor
Without real-time dashboards, bottlenecks, downtime and scrap rates are often invisible until they have already cost a shift.
Unplanned downtime
Without predictive maintenance, failures get discovered when a line stops, not before.
Rising sustainability and compliance pressure
ESG reporting, energy tracking and compliance metrics are still assembled by hand rather than automated and audit-ready.
Data engineering built for
the production floor.
Most manufacturing data problems are not a hardware problem — they are a systems-that-do-not-talk-to-each-other problem. Here is how we approach it differently.
Data engineering built for the production floor, not the boardroom.
We bring the same data engineering discipline that unifies prospect data or cold-chain compliance to MES, ERP, SCADA and IoT data — because the constraint is the same: scattered systems that were never built to talk to each other.
That means predictive maintenance, real-time OEE and agentic AI that takes real action, not another dashboard nobody opens.
Built for MES, ERP, SCADA and IoT
We connect the systems that already run your plant — not a replacement platform that asks you to start over.
Agentic AI that takes action
Instead of dashboards that describe what happened, we build agents that assist with scheduling, root-cause analysis and maintenance decisions.
Real-time, not end-of-shift
OEE, throughput and downtime data update live, so managers see the floor as it is, not as it was yesterday.
Secure by design
ISO 27001 and Cyber Essentials Plus accredited, built for the governance manufacturing data needs.
“Most production floors do not have a data problem so much as a translation problem — MES speaks one language, ERP another, SCADA a third. Our job is to make them agree on the facts before we build anything on top.”
Not sure your production data could support this? Ask the engineer who’d build it.
Book a 30-minute working session with a senior engineer — a real conversation about your plant, not a sales call.
Other sectors we know well.
Eight years of building means we’ve learned the dialect of a few specific domains. Here is where else we’ve put in the hours.
The stack behind the platforms we build.
Pragmatic, mostly boring, and chosen because it works in production for real client data — not because it's on the front page of Hacker News.
We’re most impressed by their creative skills, project management, and communication.Read more client stories
Data engineering, AI and automation —
built for manufacturing teams.
Data engineering
We design and build the data infrastructure that powers intelligent decision-making — from ingestion to insight.
Learn moreData products
Standalone data products your team can actually use.
Learn more 02Data solutions
Bespoke solutions to your most complex data challenges.
Learn more 03BI & analytics
Dashboards and reporting tools that turn raw data into clear decisions.
Learn more 04Machine learning & MLOps
Predictive models and ML pipelines designed for production.
Learn more 05Data consultancy
Strategic advice on how to structure, govern, and get more value from your data.
Learn moreQuestions, answered straight.
Have an outcome in mind?
We'll help you
ship it.
- You're building a data product and need a team that can deliver.
- You want to get AI-ready — pragmatically, not theoretically.
- Your reporting is a mess and you need a real platform underneath it.