Industries
The line does not stop for a dashboard.
We build the shop-floor layer: copilots grounded in MES and maintenance data, vision that inspects what an operator no longer has time to, and reporting that assembles itself instead of being retyped every morning.
Downtime · Quality · Maintenance · Handover · Supplier intelligence
01 — Where the time goes
Tribal knowledge is not a data strategy.
But it is what most plants actually run on.
The person who knows why that machine behaves differently in August is one retirement away from taking it with them. Meanwhile the MES holds what happened, the maintenance system holds what was done about it, and nothing holds why.
We work on the join. Shift handovers, downtime reasons, work orders and quality records become one searchable record of the plant, and the copilots that sit on it answer in the plant's vocabulary — line, cell, part number, fault code.
Actions that change state — raising a work order, adjusting a schedule, releasing a batch — stay behind a supervisor's approval. Agents prepare the decision and the evidence for it; a person still makes it.
Talk to Zealogics02 — What you get back
What the line knows, written down for once.
DOWNTIME, QUALITY, MAINTENANCE AND HANDOVER IN ONE RECORD.
03 — What the work covers
Where we work in a plant.
Where this shows up
Discrete assembly and machining plants
Process and batch manufacturing
Automotive and industrial tier suppliers
Multi-site operations with shared reporting
Maintenance, reliability and quality functions
Typical stack
Shop-floor visibility
Downtime, OEE and quality pulled out of MES and historian data into one view per line, with the reason codes cleaned up enough to be worth counting.
Maintenance and asset intelligence
Condition signals from sensors and controllers, failure-mode models fitted to your own history, and predictions delivered as work orders in the system that schedules them.
Quality and inspection
Vision models for surface, assembly and packaging inspection, and prediction of the process conditions that precede a defect rather than of the defect itself.
Supplier and material intelligence
Incoming document checks, certificate extraction, supplier performance analytics and early warning on the material problems that surface as yield problems later.
04 — What ships with it
What a plant engagement leaves behind.
A demonstration is not a deliverable. These are the artefacts an engagement leaves with your team — owned by you, runnable without us, and auditable by whoever has to sign for them.
01
A clean plant data model
Line, cell, asset, part and fault code defined once, so two reports about the same shift stop disagreeing with each other.
02
Downtime and OEE reporting
Generated rather than retyped, with the reason coding tightened enough that the top five causes mean something.
03
Predictive maintenance models
Fitted to your failure history, scored against what maintenance actually found, and wired into the work-order system.
04
Inspection models
Trained on your parts and your lighting, with the false-reject rate measured on the line rather than in a notebook.
05
A shop-floor copilot
Work instructions, procedures and history answerable in plain language at the machine, on the device the operator already carries.
06
The approval model
Which actions an agent may take, which need a supervisor, and the log of every one — decided before go-live, not after an incident.
05 — Agentic AI, in this sector
Agentic AI on the shop floor.
Where agents start
- —Shift handover briefs
- —Digital work instructions
- —Downtime log summaries
- —Maintenance ticket drafting
- —Supplier document checks
- —Production report generation
Where they go next
- —Predictive maintenance crew
- —Autonomous quality inspection
- —Root cause analysis agents
- —Plant performance analytics
- —Energy optimisation loop
- —Self-replanning production schedule
Delivery note — Shop-floor copilots grounded in MES and maintenance data, with every state-changing action gated behind supervisor approval.
06 — In your words
What clients say before they call us.
“Every plant reports OEE differently and none of them agree.”
One plant data model
“We maintain on a calendar, not on condition.”
Condition-based maintenance
“The handover note is a photograph of a whiteboard.”
Generated shift handover
07 — The rest of the map
Eleven more sectors we work in.
A problem is rarely unique to its industry. Most of what we build here has been built next door as well, which is usually why it arrives faster the second time.
Fab
Semiconductor
Yield investigations, equipment data engineering and the tool intelligence that shortens a root-cause cycle.
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Heavy
Steel
Process optimisation, quality prediction and the reporting heavy industry still assembles by hand.
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Assets
Energy & utilities
Asset performance, inspection data and the field workflows that still move on paper between three systems.
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TIC
Testing, inspection & certification
Digitised inspection, generated reports and compliance search across standards that change under you.
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Network
Telecom
Network operations assistants, incident response and service assurance analytics that keep up with the alarm volume.
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Finance
Financial services
Reconciliation, close, risk narrative and reporting automation with an approval gate on everything that moves a number.
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Assurance
Audit & assurance
Evidence review copilots, parallel testing agents and document analysis that cites the page it read.
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Clinical
Healthcare
Documentation support, coding assistance and operational insight, with every clinical output approved by a person.
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Public
Government
Citizen services, records intelligence and deployment models that stay inside the boundary the mandate requires.
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Controlled
Defense
Engineering support and controlled AI environments — local models, no external calls, clearance-aware retrieval.
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Talent
Staffing
Engineering, IT and AI talent for Fortune 500 programmes across the USA, UAE, Taiwan and India.
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Have a problem worth solving?
Start with one line, not one strategy.
Pick the line that costs you the most unplanned hours. That is a six to eight week proof of concept, not a transformation programme.