Personnel Training & Onboarding

Train the machine once. Every new hire learns it on day one

Capture an expert running the equipment a single time, and Matobas turns it into dynamic documentation that anyone can follow — no shadowing required.

The Problem

Your most sophisticated, most expensive equipment is understood by only a handful of people in the building. When one of them is out — or leaves — that capability stalls.

Getting a new hire to full productivity takes up to 180 days on average, and the only way there is to pull your best people off critical work to train them one-on-one. So most teams train just a few people “well enough to keep it running” and leave everyone else in the dark. The result is a permanent bottleneck: the lab’s throughput is capped by who happens to know how to use which machine. This friction breaks the link between headcount and output; adding more people no longer translates to more work done because your process is fundamentally tethered to a fixed set of hands.

How Matobas Works

Matobas replaces repeated one-on-one training with a “train once, record once” approach.

• Record the expert, once. The first time your specialist runs(or builds!) the machine, Matobas captures it — video, audio, and component data together — without interrupting them.
• Auto-build the procedure. The system structures what it captured into a clear, step-by-step procedure and confirms the details with the expert, so the guide reflects what they actually did.
• Hand it to anyone. A new hire walks up to the same machine, pulls up the verified steps, and runs it with confidence on day one. The procedure stays current as the process evolves.
• Consult the AI directly. When uncertainties arise, the operator simply queries Matobas for deeper context, additional visuals, or clarifications—exactly as they would a mentor by their side.

🎥 [Coming soon]

What Changes

Onboarding drops from months toward days. Your experts stop being part-time trainers and get back to the work only they can do. And complex equipment stops being a single-person bottleneck — anyone qualified can operate it, so the whole lab’s capacity goes up.

• Time to full productivity: From 180 days to zero days
• Expert hours reclaimed from training: On an average 30hours /month, more in teams that are frequently growing

Common Questions

Q: What if our process changes?
Re-capture the changed step once; the procedure updates. You’re maintaining a living guide, not a static PDF that rots.

Q: Does the expert have to stop and narrate?
No. They run the machine the way they always do — Matobas captures it in the background.