Technology
Reading physical work is a hard problem.
Raptrr is organized around a specific technical problem: understanding a demonstration of skilled work well enough to turn it into something a person can trust and learn from.
The problem, not the pitch
A demonstration contains more than a video does.
Motion, speech, tools, timing, and judgment all happen at once, in the same few seconds of footage. Making that useful means connecting several kinds of signal into one structure — and keeping the person who did the work in charge of what that structure says.
From demonstration to material
One recording, six transformations.
This is the path a demonstration is designed to travel — from the moment it is recorded to the point an expert has reviewed it and it can teach someone else.
01
Demonstration
An expert performs the work in front of a camera and explains it as they go.
02
Video, audio, and context
The recording, the spoken explanation, and the surrounding environment, held together.
03
Actions, tools, speech, and sequence
What was done, with what, in what order, and the reasoning behind it, read as connected signals.
04
Structured procedure
An ordered representation of the task, with decisions, checks, and the points that need confirmation.
05
Expert review
A person who knows the work confirms, corrects, or rejects each part before it goes further.
06
Interactive learning material
The reviewed procedure becomes something a learner can follow, question, and be checked against.
What the problem breaks down into
Nine areas, organized around what has to be solved.
Understanding the demonstration
Multimodal video understanding
Reading the video, the audio, and the surrounding context of a recording together, as one performance rather than separate tracks.
Speech transcription and language interpretation
Turning spoken explanation into text and connecting it to the action it describes.
Temporal action segmentation
Finding where one action ends and the next begins inside a continuous recording.
Reading the physical work
Tool and object recognition
Identifying which tool, part, or material is in use at each moment of the task.
Body, hand, and motion analysis
Tracking how the hands and body move through a task, not only what they touch.
Spatial context
Understanding where things sit in relation to each other across the workspace.
Making it trustworthy
Expert-in-the-loop review
Every inferred step is a proposal for a human expert to confirm, correct, or reject.
Structured procedural representation
Turning what was observed into an ordered structure of steps, decisions, and checks a person can trust.
Privacy-aware processing direction
Designing capture, storage, and processing so sensitive material stays controlled and internal by default.
Where this stands today
These are the research directions and capabilities Raptrr is developing, not a finished, deployed system. We are not naming a specific framework, model, or infrastructure provider here, because none is fixed for production yet.
Talk to us about the problem you need solved.
If your organization has expertise worth preserving, we would like to understand what a useful, trustworthy result would look like for you.