Industrial automation & Industry 4.0 · Pune, India
Make every shift more predictable.
MordeTech combines control engineering, machine vision and plant data so manufacturers can see what their lines are doing — and reduce the defects, downtime and energy cost that follow from not knowing.
Siemens PLC & SCADA · AI vision inspection · OPC UA · MQTT · OEE · Predictive maintenance
What this costs you
Four problems that show up on the P&L
Every plant has these. The difference is whether you can see them early enough to act.
Quality escapes
A defect found at final inspection has already absorbed every operation after the one that caused it. Found at the customer, it costs the relationship as well.
Unplanned downtime
The stoppage itself is rarely the expensive part. It is the shift that cannot be recovered, the order that moves, and the overtime to catch up.
Fragmented plant data
Production numbers assembled by hand are disputed in the meeting. Time goes into agreeing what happened instead of deciding what to do.
Rising energy cost
Energy billed as one plant total cannot be attributed, so there is no way to tell an efficient line from a drifting one.
What we build
Four capabilities, one plant
Each is useful alone. Together they give a plant one consistent picture of itself.
AI Vision Inspection
Catch the defect where it is made, not at final inspection or at the customer.
Cameras and trained models that judge every part at line speed, so defects are caught at the station that produced them.
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Smart Automation
Modernize control without re-learning the plant.
Siemens PLC and SCADA engineering, and migration of ageing control systems without losing the process knowledge built into them.
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IIoT & OEE
One version of what the line actually did last shift.
Machine data collected at the source and turned into numbers a shift meeting can act on.
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Predictive & Energy
Fewer surprises, and an energy bill you can attribute to a machine.
Condition monitoring that raises a work order before a failure, and energy measurement detailed enough to act on.
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How it fits together
From machine signal to business result
Nothing here replaces your control system or your safety functions. It reads what the plant already knows and puts it where a decision gets made.
- 01
Sensors & instruments
Vibration, temperature, current, vision, flow — measured at the machine.
- 02
PLC & SCADA
Control executes. Siemens S7, WinCC, existing safety interlocks untouched.
- 03
Secure data layer
OPC UA and MQTT move data read-only to an edge gateway inside your network.
- 04
Analytics & AI
Historian, OEE calculation, condition models, vision inference at the edge.
- 05
Action on the floor
A reject diverted, a work order raised, a dashboard the shift meeting trusts.
Protocols: OPC UA · MQTT · Siemens S7 · Modbus TCP/RTU · Profinet & Profibus via gateway
Where we work
Industries
The engineering differs less than the constraints do. What changes is the environment, the regulatory load and what a stoppage costs.
Cement & Grinding
Continuous process, heavy energy load, and equipment that is expensive to stop.
Automotive & Discrete
High volume, tight tolerance, and a customer who measures you on parts per million.
Chemical & Process
Continuous operation where a control change is a safety question first.
Food & Beverage
Hygiene, shelf-life and packaging accuracy, at speed.
Pharma
Where the record matters as much as the result.
Industrial OEMs
Machine builders who need control and connectivity as a product feature.
Selected work
What the engineering actually involved
Scope and approach, described plainly. Measured results and customer names are published only once the customer has approved them in writing.
Automotive supplier
AI vision inspection on a high-speed stamping line
Surface defects on stamped parts were being found at final inspection, after several further operations had already added cost to parts that would be scrapped. Manual sampling could not cover every part at line speed, and intermittent faults passed through between samples.
Read the case →
Mid-size press shop
OEE visibility and vibration-based predictive maintenance in a press shop
Production figures were assembled by hand and disputed at the shift meeting. Downtime reasons were recorded on paper when there was time. Press failures were discovered when a line stopped, and maintenance was scheduled by calendar rather than condition.
Read the case →
Process plant
Legacy PLC migration and SCADA modernization
Controllers were past support with no spares available, and the engineers who wrote the original logic had left. Years of undocumented changes meant the program was the only remaining record of how the process actually ran, and the migration risk had been deferred repeatedly.
Read the case →
How we work
Delivery method
Industrial projects fail at integration and adoption far more often than at engineering. The method is built around that.
- 01
Discover
Walk the floor, watch a shift, agree what the real constraint is before proposing anything.
- 02
Engineer
Design and build off-line. Logic, screens and models developed against an agreed specification.
- 03
Integrate
Install into the existing line. Safety functions reviewed separately and left intact.
- 04
Validate
Factory acceptance before shipment, site acceptance on your floor with your parts and operators.
- 05
Support
Training, documentation and source handed over. Support arrangements agreed, not assumed.
Next step
Find the largest opportunity in your plant.
A plant assessment is a structured walk of your line with your team: where quality is lost, where availability goes, and what data already exists. You get our read on the biggest opportunity, whether or not you engage us for the work.