Train without
real risk.
Virtual reality environments to train operators without tying up the line or exposing them to the real equipment.
- Training without stopping production
- Objective measurement of operator performance
- The critical manoeuvre is repeated as many times as needed
Tick what happens
in your plant.
Whatever you select travels with your message, so the first conversation starts with your case instead of our pitch.
Everything included in
Simulators.
High-fidelity VR
Factory floor environments for maximum realism.
Real physical controls
Physical replicas of the real equipment controls.
Learning metrics
Progress, errors and times recorded per session.
AR for maintenance
Interactive manuals in augmented reality.
Digital Twins
Virtual plant tours for management.
Custom scenarios
We simulate your specific machinery — no generic demos.
- Forklift operator training without tying up the real equipment
- Certification of high-risk manoeuvres and lockout/tagout
- Onboarding new staff before they set foot on the line
- Emergency and industrial evacuation drills
- Digital twin for plant walkthroughs with clients and management
How the data travels
in this solution.
The block marked in teal is the layer we build: it reads, normalises and hands the data over ready for the engine. It is the part almost nobody credits and without which the rest does not work.
See the data paths in text the six scenarios, step by step
GEN General architecture from data to decision
Data to measure·What your process already generates and loses today
Sensor or reader·Turns the physical event into usable data
Orchestration layer·Reads the sensor, normalises the reading and delivers it ready to use
Internal network·Travels inside your plant, without going out to the internet
Diagnostic engine·Applies your rules, your standard and your criteria
Agent with human supervision·Delivers the decision ready; your manager authorises
Most industrial AI projects don't fail because of the model. They fail because nobody built the layer that connects the data to the system.
See the scenarios in text the spec sheet for each one
ARQ-00 General architecture IT · MAINTENANCE · PRODUCTION · QUALITY
Most industrial AI projects don't fail because of the model. They fail because nobody built the layer that connects the data to the system.
Equipment, sensors and systems you already have running
The orchestration layer that reads, normalises and exposes the reading
Your standard and your procedure, not a vendor template
Inside your network — the processing happens in your plant
Your manager. The agent prepares and proposes
ARQ-01 Failure prevention MAINTENANCE · PRODUCTION · PURCHASING
An unplanned stoppage is detected when the line has already stopped. You know the cost per hour better than anyone — we go after the hours.
Vibration, temperature, current draw and operating hours
Mechanical degradation: bearings, misalignment, imbalance
Electrical anomalies such as phase imbalance or overconsumption
The applicable standard and that equipment's own history
Early warning instead of reacting after the stoppage
The spare part is ordered in time instead of paid for as an emergency
ARQ-02 Production record PRODUCTION · PLANNING · WAREHOUSE · ACCOUNTING
Production is logged by hand and reviewed once the shift is already over. By the time the report reaches the meeting, it is no longer useful for acting.
Sensors, vision systems or straight to the PLC
Part count, cycle time, stoppages and stoppage cause
Load split across lines using real capacity, not an estimate
Production and inventory planning
Live information instead of an end-of-shift report
Re-entry is eliminated; OEE stops being a guess
ARQ-03 Quality inspection QUALITY · PRODUCTION · PURCHASING
Visual inspection depends on the time of day and on who is at the station. Whatever slips through reaches the customer.
Every part at line speed, without slowing the process
Model trained on your parts and your real defects
Yours, not the one the equipment ships with
Consolidates the shift's data and leaves the findings ready
The night shift is covered with the same criteria as the morning shift
Defect linked to shift, part number and raw-material batch
ARQ-04 Audit assistant CALIDAD · SEGURIDAD · RH · MANTENIMIENTO
The compliance evidence already exists, but it is scattered across folders, photos and forms that nobody can find when the auditor arrives.
Data that must meet a standard and validity dates about to expire
Project progress tracked from deliverable dates
Compares the evidence against your regulations using document retrieval
Your procedure loaded, not a generic template
Prioritised findings with an owner and committed date
The file is built as the month goes on, not in the week before
ARQ-05 Traceability WAREHOUSE · QUALITY · LOGISTICS · SALES
A complaint with a batch number triggers a manual search across systems that don't talk to each other. And the physical inventory count stops the warehouse.
Sensors, GPS, NFC and RFID, whichever suits the process
History per part: material, machine, shift, operator and inspection
Where the material is and since when, without walking the plant
Cyclical and continuous, without stopping the operation
Determines which other parts share the same origin
Inventory reflects the floor, not the last manual entry
This is what it looks like
in real production.
Photographs of this system installed and running. Click the lens to open the full plate.
Ready to bring AI in
on real infrastructure?
Not a pilot that dies on somebody's laptop. Infrastructure that stays in your plant, with your data inside it and your team running it.
- The diagnostic costs nothing and commits you to nothing
- We answer with an architecture, not a catalogue
- If it is not for you, we say so on the first call