Vision

Industrial, logistics and energy companies face structural shifts:

• Shortage of skilled people and ageing workforces.
• Increasing product and process complexity.
• Stricter safety, quality and regulatory requirements.
• Pressure on costs, uptime and lead times.

Meanwhile, the way we transfer knowledge and train people has hardly changed: static procedures, classroom training and job shadowing that depend on who is available. This model does not scale. We need dynamic, visual and data-driven guidance that can follow the pace of change.

We believe work instructions should move from documents that you need to search, interpret and remember, to guided experiences that show you step-by-step what to do, when and why.

With AR and AI this means:

• Instructions that live on the asset – overlaid on the real equipment or workspace.
• Context-aware support: the right step, at the right moment, in the right language.
• Real-time capture of what actually happened: checks, photos, measurements and notes.

In this world, the "procedure" is no longer a static PDF, but a living guide that supports assembly and production, standardises changeovers, helps technicians with preventive and corrective maintenance, onboards new colleagues and preserves corporate memory.

Our vision is not fully automated factories where people disappear. We see a different path: people remain central in production, maintenance and logistics, while technology removes friction, guesswork and routine overhead.

That is why we design solutions around:

• Clarity for operators – simple, visual steps instead of long texts.
• Confidence for experts – knowing their way of working is captured, reused and improved.
• Control for management – insight into skills, compliance and performance.

AR and AI are there to make people more capable and more independent, not to replace them.

We do not aim to be yet another platform on its own. Our vision is to be a bridge between mature AR & AI technology, the realities of European factories and logistics operations, and local partners for implementation, hardware and training.

Concretely, that means:

• Helping organisations choose the right first use cases, not just the most impressive demo.
• Bringing together operations, maintenance, quality, HR and IT around one way of working.
• Working with local partners in Benelux and DACH who understand the culture and the shop floor.
• Integrating with existing systems where it makes sense, instead of creating new islands.

We want to be the team you call when you say: "We know we should do something with AR and AI on the shop floor – but where do we start, and how do we make it stick?"

Our vision for AR and AI is also about responsibility. Solutions must be transparent, safe, measurable and sustainable.

• Transparent – operators understand what the system does and what it does not do.
• Safe – solutions strengthen safety culture instead of encouraging shortcuts.
• Measurable – every project has clear goals and metrics such as errors, downtime and training time.
• Sustainable – content and processes are maintainable by your own teams, not only by external consultants.

We aim for solutions that you can explain and defend to operators, unions, customers, auditors and your board.

In the coming years we see three major shifts and shape our roadmap accordingly:

1. From pilots to standard practice – AR and AI will move from innovation labs into standard operating procedures, training plans and maintenance routines.
2. From isolated plants to connected networks – best practices will be captured once and shared across sites, countries and partners, while still allowing local adaptation.
3. From reactive to predictive guidance – data from executions, sensors and systems will allow AI to suggest improvements, identify risks and personalise guidance.

ActARion's vision is to guide organisations through this journey – starting with one concrete use case, but with a clear line of sight to a smarter, safer and faster way of working across the whole operation.