DeepHow captures the hidden know-how of your best operators, verifies that work is executed to standard, and optimizes lines with automated time studies that surface waste and cycle time variation.




Every plant has hidden know-how. The question is whether it's captured and executed properly, or whether your SQDC performance quietly fluctuates with every shift change, every new hire, every departing expert. DeepHow makes the real work visible, replicable, and verifiable.
Operators learn directly from videos built from your approved procedures, not from interpretations, informal coaching, or static documents. Every skill and quiz is tied to a specific version.
fewer defects by providing micro-learning videos, enabling digital SOPs, catching execution mistakes as they happen and verifying work outputs. Complete: connecting training, enablement, and verification.
reduction in onboarding time means new operators reach target output sooner which is critical when demand is surging or a key line needs to staff up quickly.
AI-powered time-and-motion analysis surfaces hidden waste cycle time variation, line imbalance without the manual stopwatch effort of traditional Lean studies.
DeepHow is an operational knowledge and verification system, purpose-built for the shop floor, where the work actually happens.
Traditional time-and-motion studies are periodic, labor-intensive, and limited in sample size. DeepHow applies AI to continuously measure cycle times, classify task sequences, and surface waste, giving your teams insights at a scale that manual observation can't match.
than manual studies
Using Physical AI to classify actions across workflows





When you need to verify the result of work, operators submit photo or video evidence at task completion right from their phone. AI compares the output against your defined standard and confirms it meets spec before the work moves on.
Validates work outputs with accuracy out of the box.
Use a mobile or tablet to validate the outcome, state, or performance as needed.
DeepHow's Physical AI monitors operator actions during production, detecting whether steps are completed in the correct sequence, in real time, without interrupting the flow of work. Deviations are flagged at the moment they occur, not discovered downstream.
Critical actions detected across production workflows ensuring SOPs are completed correctly.
Across individual SOP step execution in electronics production environments.





Record your best operators performing your most critical processes. DeepHow's AI converts those recordings into structured, searchable, multilingual videos. The knowledge that was locked in one person's hands becomes an institutional capability available to everyone.



Your highest-performing plant has methods, habits, and institutional knowledge that your other sites don't. DeepHow makes it possible to identify those best practices and deploy them everywhere, consistently, at scale, without sending experts on the road.
“We found that work instructions weren’t always up to date with what was actually happening on the floor. DeepHow helped us correct that and even identified safety issues we hadn’t addressed before”