The problem
Manuals and training videos miss what experts actually do: the small adjustments, the order of steps, the judgement calls made in real conditions.

Capture the work that matters. Preserve your team’s knowledge.
Why Vigil
Manuals and training videos miss what experts actually do: the small adjustments, the order of steps, the judgement calls made in real conditions.
Real demonstrations of real work, captured where it happens: on busy sites, in changing conditions, from the person doing the job.
A head-worn recorder and a private processing system that turn each demonstration into searchable knowledge your team keeps, and training data robots can learn from.
Language models learned from libraries of written text. The skill in a pair of hands was never written down.
Vigil captures what manuals miss.
How it works
Vigil clips to the brim of a hard hat or cap. No screens, no menus, nothing to hold.
Start and stop with your voice or the single button. The camera, depth and motion sensors record the task from your point of view.
Recordings wait safely on the device and upload over Wi-Fi or LTE as soon as a connection is available.
Each demonstration becomes searchable task episodes with timestamps, ready to review, reuse and export.
Two ways to take part
Capture it for your own team, or contribute your skills and get paid for them.
For organisations
For individuals

Physical AI
Robots can’t learn what they have never seen. Vigil records skilled people doing real tasks, from their own point of view, so the same recordings that train your team can train the machines that will work beside them.
Video from the wearer’s point of view, with depth and head motion captured alongside: how the task looks to the person doing it.
Recordings become episodes and steps with timestamps, so a robot-learning team gets clean examples, not hours of raw footage.
Real sites, real tools, real variation. The messy detail that lab demonstrations miss and robots most need.
Export curated episodes as datasets for training robot policies and physical-AI models, on your terms.
Private by design
Vigil can run entirely inside your environment. Recordings, transcripts, annotations and search indexes stay on infrastructure you own.
Connect the AI services your company already approves. Nothing is sent to ours.
If a model is unavailable, recordings simply wait. Nothing is routed elsewhere.
Annotations keep their evidence, versions and reviewer decisions.
Datasets leave your environment only when you export them.

Under the hood
A compact module that clips to the brim of a hard hat or cap, carrying the sensors that matter for capturing skilled work.

The film
Music: J. S. Bach, Prelude in C major, BWV 846. Performed by Kimiko Ishizaka (public domain).
Bring Vigil to your team and start building a library of how the work is really done.