Industrial solutions, engineered around the real process.

Explore the solution areas Skarduino Labs delivers for manufacturing, E-vehicle automotive, PCB production and energy operations. MES is one product within the wider portfolio.

Solution note: Each application is engineered around the equipment, process, controls and operating conditions at the site.

01 // E-VEHICLE AUTOMOTIVE

Hub assembly line production visibility

Connect station cycles, model context, operator actions and quality checks without moving deterministic machine control into the MES.

Operational problem

Supervisors lack one timeline for station status, cycle loss, output and blocked work.

System pattern

PLC event mapping, edge collection, station model, live Andon view and structured downtime reasons.

Decision enabled

Teams can separate machine loss, material wait, quality hold and planned changeover.

02 // PCB MANUFACTURING

ESD status and production traceability

Bring environmental or ESD monitoring, operator checks and production identity into a shared event record.

Operational problem

Compliance evidence and process records live in separate logs that are difficult to correlate.

System pattern

Monitoring devices, identity capture, threshold events, acknowledgements and retained audit records.

Decision enabled

Quality teams can investigate a deviation with time, area, product and acknowledgement context.

03 // GENERAL MANUFACTURING

Legacy machine monitoring retrofit

Add trustworthy production and state visibility to serviceable equipment that was never designed for modern connectivity.

Operational problem

Output, running time and stoppages are recorded manually or reconstructed after the shift.

System pattern

Electrical survey, isolated sensing, edge validation, local buffering and a production event model.

Decision enabled

Supervisors gain timely visibility while the approved machine controller retains control authority.

04 // ENERGY & UTILITIES

Energy information with production context

Pair meter readings with shift, machine and production status to distinguish useful consumption from avoidable loss.

Operational problem

Monthly bills and isolated meter dashboards do not explain which production conditions created demand.

System pattern

Meter integration, time-aligned production states, demand events and role-based reporting.

Decision enabled

Engineering teams can examine idle consumption, peak demand and consumption per production context.

FROM REQUIREMENT TO DELIVERY

A practical delivery path for every solution.

Start with a clear production or engineering objective, validate the appropriate controls and data boundary, then build on what works.

Baseline

Agree how the current process and losses are measured.

Signal proof

Validate every machine state against actual operation.

User adoption

Confirm reason codes and workflows work during a real shift.

Verified result

Publish only metrics supported by an agreed comparison period.

YOUR USE CASE

Turn an industrial requirement into a practical solution.

Start with the process, equipment and outcome—not a generic technology list.

Describe the use case →