Help when your hands are full.
Stopping to type or scroll isn’t practical on a ladder or behind a unit. Manual Understanding answers by voice, so both hands stay on the work.
BUILT FOR THE HANDS THAT BUILD.
Ask out loud.
Keep working.
A wearable AI assistant for the skilled trades.
Ask for the spec, the diagram, or the next check with your hands on the work and your phone in your pocket.
01 / ALIGNSCROLL TO ASSEMBLE
MANUAL UNDERSTANDING / MODEL
The right model. The right manual.
Manual Understanding uses the model year and engine identification to find the matching service information before you start.
HVAC · REFRIGERATION · ELECTRICALA closer look
01 / HOW IT WORKS
See the equipment.
Understand the job.
REFRIGERATOR / CONCEPT EXAMPLE
Tap a point
Read the nameplate, ask your question, get the right page of the service manual. We’re building it with working technicians on real equipment, so the answers hold up in the field.
01 / Identify
“Which refrigerator is this?”
Manual Understanding reads the nameplate, pulls that model’s service manual, and asks you to confirm the unit before it quotes a single spec.
02 / PEOPLE FIRST
Your assistant.
Not your replacement.
Manual Understanding explains the reasoning behind a step, not just the step. A newer tech learns why the reading matters while they take it — and asks their supervisor one less question every job.
WHY WE STARTED
We like to work on our stuff, and we keep running into the same gap: AI falls short when our hands are greasy, we can’t reach our phones, or the problem doesn’t fit a familiar pattern. Every shop has someone who just knows. We want them in your ear on every call. That’s why we’re building Manual Understanding.
Fewer callbacks. Less senior time on junior questions.
A second-year tech handles a first-year problem. Your best people stay on the jobs that actually need them.
Train hardware on real work.
With separate permission from shops and participating techs, recordings of tool use and physical tasks could help train robots and other AI-powered hardware.
Get in early.
Shape what it does.
Tell us what breaks, what’s missing, and what you’d never use. We build from there.
Let’s get to work