
Automation
Maintenance and installation of automation systems: the expert guides the technician at the control panel and the machine in real time.
PH facility's platform for remote technical support and AI-powered knowledge management: it captures the knowledge of your plants, enhances it with on-premise AI and delivers it to on-site technicians when and where they need it.

Serving PH facility's operating divisions
For decades, technical support has meant phone calls, waiting and site visits, and know-how that disappears with every retirement. In a world that changes every day, this model is no longer enough.
.expert is an Industrial Intelligence platform: it captures the knowledge of your plant, makes it searchable through on-premise AI and delivers it to whoever needs it — on the right channel, where it is needed. Smart glasses, tablets, desktops, ERP and MES integrations: the tools change, the knowledge stays yours and grows every day.
The right answer arrives at the right time, on the right channel: in front of the machine, in the workshop, in the office or on the move.
Diagnosis and restart in minutes, not days. No waiting, no unnecessary site visits.
Knowledge does not retire, does not get lost and never stops. It grows every day with the plant.
.expert puts manuals, maintenance history and a remote expert in front of the technician, right at the plant.
.expert is not a device, it is a system. It captures knowledge, enhances it with on-premise AI and delivers it to whoever needs it, where it is needed, on the channel best suited to the moment.
Manuals, procedures, diagrams, videos of interventions, audio from technicians in the field. What today lives in people's heads and in drawers becomes structured, searchable knowledge.
Aida is the .expert AI assistant, based on open models running on-premise: it reasons on the real context of your plant using RAG on your documents and always cites its source.
Smart glasses in front of the machine, tablets in the workshop, desktops in the office, MES and ERP integrations. The tools change, the knowledge is always the same.
Discover AR work instructionsFrom automation to railways, from facility management to ICT and the environment: .expert puts PH facility's remote support and technical knowledge at the disposal of every on-site technician.

Maintenance and installation of automation systems: the expert guides the technician at the control panel and the machine in real time.

Lines, switches and railway installations spread across the territory: procedures and remote support without site visits.

HVAC, electrical and building systems: maintenance history and instructions always available to whoever is on site.

Networks, cabling and data centres: guided configurations and checklists, with AI that finds the right documentation.

Water treatment, pumping stations and environmental plants: traceable interventions and know-how shared between teams.
Aida listens to the technician's question, cross-checks it with your company's manuals, diagrams and maintenance history, and answers citing the sources. No more searching through folders, no more waiting on the phone for the senior technician.
Aida, hydraulic unit GI-03 shows error E-217 after start-up. What should I check?
Error E-217 on hydraulic unit GI-03 indicates overheating in the secondary circuit. Proceed as follows: 1. Check the oil level in tank B (it must be at least 80%). 2. Make sure valve V-12 is not stuck in the closed position. 3. Measure the temperature on sensor T-04: if > 72 °C, wait for it to drop. In the last 12 months this error has occurred 4 times on the same plant, always resolved by cleaning filter F-08.
* demo dialogue · real answers come from the documents uploaded to your installation
Real-time remote support, operational HUD, hands free at the plant.
Aida, the on-premise AI assistant with RAG on company documents. Every answer comes with its source.
Step-by-step procedures with AR overlays, automatic checks and digital sign-off.
Senior technicians' know-how becomes a transferable asset. Faster training.
Five concrete scenarios: from a critical failure to a technical handover.
Enterprise stack: local LLM, vector database, API integration with ERP, MES and CMMS.
Process audit, knowledge mapping and a shared business case before writing any code.
Aida installed on-premise, smart glasses configured, operators trained. A pilot project on a real plant, with a duration agreed together based on the scope, typically a few weeks.
Curated knowledge base, updated models, roll-out to new plants. An industrial partner, not a licence vendor.
A dedicated demo on your plant. Let's see together where AI can reduce downtime and site visits.
We will get back to you as soon as possible. No spam.