Software that makes the shop floor legible.
Production monitoring, quality tracking and operations dashboards that replace whiteboards and spreadsheets with live data.
Built around how your industry actually works.
Most manufacturers already collect the data they need — it just sits in machine logs, paper checklists and a dozen Excel files nobody reconciles until month end.
We build systems that capture production events where they happen and turn them into dashboards supervisors trust during the shift, not after it.
Floor reality
Interfaces are used on shared terminals and tablets, often with gloves and poor light.
Operational complexity
Orders, materials, machines and people all have to agree on one plan.
Data credibility
If the numbers on screen are not trusted, teams fall back to spreadsheets.
The problems behind the product.
Before design starts, these are the realities plant supervisors, planners and quality teams live with every day across shop-floor operations.
- 01
No real-time visibility
Output, downtime and scrap are known a day late, so decisions are reactive.
- 02
Manual quality records
Paper checklists make traceability slow and audits painful.
- 03
Disconnected ERP
Planning systems don't reflect what actually happened on the line.
- 04
Low-tech shop floor UX
Interfaces designed for desks fail on gloves, glare and rugged tablets.
Digital products built for the workflow.
Services we bring to manufacturing.
Bespoke systems for workflows that off-the-shelf tools cannot model correctly.
Explore Custom SoftwareComplex, data-heavy web apps with reliable state, auth and role-based access.
Explore Web ApplicationsVersioned, documented APIs and webhooks that other teams can build against.
Explore API DevelopmentDocument, support and back-office workflows automated with human review built in.
Explore AI Automation
We work in manufacturing around production workflows, inventory accuracy, machine data and everything they touch.
- Production workflows
- Inventory accuracy
- Machine data
- Quality control
- Shift reporting
- ERP integration
Designed around the people doing the work
Plant supervisors, planners and quality teams move through the production workflow at different speeds and with different priorities. We model those roles explicitly, then design production monitoring dashboards around the tasks each one repeats every day.
Architecture chosen for the workload
Manufacturing products live or die on how production and inventory data is structured. We pick storage, caching and API boundaries to match real query patterns rather than defaulting to a familiar stack.
Built toward a commercial outcome
Every release is measured against less downtime and cleaner throughput. Scope is sequenced so the work that changes that number ships first, and the rest is deliberately deferred.
Fits the way the business already runs
Shop-floor operations rarely stop for a launch. We plan rollout, training, data migration and quality and traceability systems handover so adoption does not depend on goodwill.
A practical approach from problem to product.
A practical approach from problem to product.
Five stages, run in order, so every decision has a reason behind it.
- 01Understand
- 02Structure
- 03Design
- 04Build
- 05Improve
- 01
Understand
We start inside the production workflow — watching how plant supervisors, planners and quality teams actually work before proposing anything.
Key activities
- Stakeholder and user interviews
- Workflow mapping across shop-floor operations
- Audit of no real-time visibility
Deliverables
- Discovery findings
- Journey map
- Prioritised problem list
- 02
Structure
We make the current process visible before we change it.
Key activities
- Information architecture
- Role and permission model
- Data model for production and inventory data
Deliverables
- Architecture outline
- Scope and sequencing
- Estimate
- 03
Design
Large targets, high contrast, minimal typing.
Key activities
- Key flow wireframes
- UI design system
- Prototype testing with real users
Deliverables
- Design system
- High-fidelity screens
- Clickable prototype
- 04
Build
Prove value on a single cell or line, then roll out.
Key activities
- Production monitoring dashboards implementation
- Quality and traceability systems and integrations
- Automated testing and QA
Deliverables
- Working increments
- Integration layer
- Release-ready build
- 05
Improve
After launch we track less downtime and cleaner throughput and keep shipping against it.
Key activities
- Usage and performance monitoring
- Iteration on real behaviour
- Roadmap support
Deliverables
- Analytics baseline
- Improvement backlog
- Ongoing releases
What better looks like.
Success in manufacturing is not a redesign. It is less downtime and cleaner throughput — visible in how quickly plant supervisors, planners and quality teams get through the production workflow, and in how much of shop-floor operations stops relying on manual work.
- unplanned downtime
- -30%unplanned downtime
- saved per shift on reporting
- 4hsaved per shift on reporting
- digital batch traceability
- 100%digital batch traceability
- 01
Clearer workflows
Plant supervisors, planners and quality teams spend less time working out what happens next, because the production workflow is modelled in the interface instead of in people's heads.
- 02
Better operational visibility
Production and inventory data shows up where decisions are made, so shop-floor operations stop depending on exports and follow-up calls.
- 03
A stronger digital foundation
The platform is structured to extend — new roles, integrations and features land without a rebuild each time the business changes.
- 04
More confident users
Predictable, accessible interfaces mean fewer support requests, faster onboarding and steady progress toward less downtime and cleaner throughput.
The technology behind the experience.
Frontend
- React
Backend
- Node.js
Integrations
- ERP integrations
Engineering practice
- Time-series storage
- MQTT / OPC-UA bridges
- Offline-tolerant clients
- Role-based dashboards
Questions we hear from manufacturing teams.
Something specific to your setup? Tell us the workflow and we’ll answer directly.
Where machines expose OPC-UA, Modbus or MQTT we read them directly; otherwise we start with operator-entered events and add automation later.
No. We usually sit alongside the ERP and feed it clean, timely data from the floor.
Yes. Shop-floor clients buffer locally and sync when connectivity returns.
Have a product or workflow worth improving?
Tell us where plant supervisors, planners and quality teams lose time in your manufacturing operation. We’ll come back with an approach, a scope and a realistic timeline.
Have a project in mind?
Let’s build something amazing together.
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