Manage cookies
Cookie Settings
Cookies necessary for the correct operation of the site are always enabled.
Other cookies are configurable.
Other cookies are configurable.
Everything you need to know at a glance
- AI SmartAssistanceAI-powered AR assistant for field technicians
- Microsoft HoloLens 2Mixed reality headset, fully hands-free
- AI + Augmented RealityCustom-trained AI bot + holographic overlay
- Industrial MaintenanceManufacturing, field service, complex equipment
- 24 / 7Remote expert support regardless of location
- End-to-endAI training, AR dev, HoloLens integration, delivery
Industrial maintenance was expensive, slow, and dangerously uneven
When complex machinery breaks down, every hour of downtime carries a direct cost. The traditional model — dispatch a specialist, wait, fix, repeat — was never built for the pace or scale of modern industrial operations. Companies were paying not just for repairs, but for travel, delays, scheduling gaps, and the inconsistency that comes when different technicians interpret the same problem differently.
-
Cost & Logistics
Sending experts on-site doesn't scaleEvery service call meant flights, accommodation, and coordination across time zones. For multi-site or remote operations, the cost of getting the right person to the right place often exceeded the cost of the repair itself. And even then, availability wasn't guaranteed — a senior engineer in Turin can't be on three continents at once.01 -
Knowledge Gap
Skill varies. Machines don't forgive it.Junior technicians working from paper manuals or phone support made inconsistent decisions under pressure. A missed diagnostic step, a misread schematic, a wrong torque setting — any of these on a complex industrial component could mean a failed repair, a safety incident, or further equipment damage. The knowledge was in the company, but it wasn't reliably at the point of work.02 -
Downtime Cost
Every hour waiting is revenue lostProduction lines don't pause while a technician waits for the right person to become available or the right document to be found. Unplanned downtime is consistently one of the highest-cost events in manufacturing — and slow, uncertain maintenance response is its primary driver. The problem wasn't people. It was a system that hadn't caught up with the complexity of modern equipment.03
An expert in every technician's field of view
AR Step-by-Step Guidance
Holographic instructions overlay directly onto the equipment being serviced. The technician sees exactly what to do and where to do it — each step anchored to the physical component in real space. No manual to flip through, no screen to look away at, no phone call to make. The guidance moves with the technician's gaze and updates as each step is completed.
Custom-Trained AI Assistant
The AI is trained on the company's own technical documentation, maintenance logs, schematics, and repair history — not a generic model, but a specialist in that specific equipment and operational context. It answers the questions a senior engineer would answer, drawn entirely from knowledge the company already owns. The more it's used, the more precise it becomes.
Remote Expert Live Connection
When a situation exceeds what the AI can resolve alone, it connects the technician in real time with a remote human expert who sees exactly what the HoloLens sees — the same equipment, the same angle, live. The expert annotates the technician's field of view with holographic markers and verbal guidance. Full expertise, zero travel.
Predictive Maintenance & Data Loop
Every completed session feeds operational data back into the system — failure patterns, repair outcomes, component behaviour over time. The AI uses this to flag equipment at risk before it breaks down, shifting maintenance from reactive to anticipatory. The longer the system runs, the smarter and more valuable it becomes for the entire organisation.
What this means for operations — in real terms
Every capability in AI SmartAssistance was designed around a specific operational cost or failure mode. The result isn't a technology showcase — it's a measurable shift in how maintenance teams perform, what they cost, and how reliably they deliver.
Lower dispatch costs
When a junior technician guided by AI handles a repair that previously required a senior specialist on-site, the cost per service call drops significantly. That saving multiplies across every site, every shift, and every timezone your covers.
Faster resolution, less downtime
Real-time guidance eliminates time lost searching documentation or waiting on phone support. Repairs happen faster and correctly — first time, without the rework cycle that follows an uncertain fix.
Junior staff perform at senior level
The AI closes the skill gap by embedding expert knowledge at the point of work. Less experienced technicians handle complex tasks safely — freeing senior engineers for work that actually needs them.
Predictive, not reactive
Data from every session builds a picture of component health over time. Patterns that precede failure become visible early — enabling planned interventions before a breakdown disrupts production.
24/7 support, no extra headcount
The AI is always on — across time zones, shifts, and geographies. Support no longer depends on one person being available at the right moment. Global operations get a two-hour resolution, not a two-day wait.
Expertise that never walks out the door
When a senior engineer leaves, their knowledge stays. The AI has absorbed and encoded it — making the company's most valuable operational expertise permanently available to every technician in the network.
FAQ – AI SmartAssistance
A basic deployment with AI training on existing documentation and HoloLens 2 integration typically takes 8 to 12 weeks from kick-off to first production use. Timeline depends on the volume and quality of existing technical documentation and the complexity of the equipment involved.
The system is designed for exactly this scenario. When the AI reaches the edge of its confidence, it flags it clearly and connects the technician live with a remote human expert — who sees the same view through HoloLens in real time and can annotate the field of view directly.
Yes — and that's the point. The AI is trained exclusively on your own technical documentation, maintenance logs, repair records, and operational data. It becomes a specialist in your equipment and your processes, not a generic assistant.
Not necessarily. If you have existing CAD files, schematics, or maintenance manuals — we use them. If not, our partner Loto Studios handles full 3D asset creation and spatial mapping from scratch. We assess what you have and build around it.
Core guidance functionality works offline — critical for remote sites, underground facilities, or areas with unstable connectivity. Live remote expert connection requires internet, but the AI assistant and holographic overlays operate independently of it.
The primary interface is Microsoft HoloLens 2 — a standalone mixed reality headset requiring no additional devices. For remote expert sessions, the expert needs only a standard laptop or tablet. No special infrastructure is required on the facility side.
Related projects
SubWise
Subscription app development
AI Assistant
An assistant that searches Gmail and Drive, pulls the right context, and drafts replies — with a human always in the loop
Automative
AR configurator
Related Services
Discuss Your Project
OR
Service
Let's talk
Interface design
Security
Management
Development
Budget in EUR
Let's talk
10K–50K
more than 50K
Request sent!
We'll get back to you within 1 business day.