The world model of skilled work.
Apteran captures how your senior workers actually do the job — from cameras they wear — and turns it into a structured, searchable knowledge layer.
Onboarding is the first use. Everything else follows.

The hard problem for AI in the physical world isn't generating things that didn't exist — it's understanding what's already there. Apteran captures the work as it happens and turns it into the structured context that AI, and the people using it, actually need. Less invention. More observation.
What we built
The proof is in the product.
Today: onboarding. Tomorrow: every use case that depends on the world model.
Every action, labeled and timestamped.
A 30-minute video becomes a structured timeline in about 5 minutes. Every action gets a label, a category, and a description. Click any event to jump to that moment.

Search across every shift.
Type a question. Apteran finds the relevant clips across all recorded shifts and stitches them into a training sequence. Like a senior colleague who remembers everything.


Answers grounded in real footage.
New hire asks how to do something. Apteran answers with step-by-step instructions and the exact clips it pulled them from. Every answer points back to a real moment on video.

How it works
Three steps. No workflow change.
Film.
Workers wear a camera — GoPro, Meta Ray-Ban, or smartphone — and do the job as usual. No extra effort.
Process.
The AI watches every minute. Labels actions. Builds the knowledge base automatically.
Use.
Anyone on the team searches, asks, or learns from real shifts.
Who it's for
Skilled manual work. High turnover. Procedures that never quite get documented.
What's next
From consumer cameras to dedicated hardware.
Smart glasses aren't ready for factory floors yet. Today we run on GoPros, smartphones, and Ray-Ban Meta — proving the software works in the field. Next step is dedicated wearable hardware, built for industrial use. When AR glasses finally show up at scale, the software stack will already be there.
About
Solo founder, engineer, based in Tallinn. Running a live pilot at a European craft brewery. Building toward dedicated hardware and broader industry deployment.
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