Ensure standard work every time, everywhere.
Bridge the gap between learning and execution with our multimodal Smart Instructions.
Track output for training reinforcement and audit.
Leverage AI to automatically verify results against the SOP.
Ensure the work is done to standard every time, everywhere.
DeepHow enables teams to capture expert know-how, convert it into step-by-step digital guidance, and assign it to operators. Built-in version control and AI verification ensure that every operator, line, and site follows the same approved process.
Yes. DeepHow enables standardization across all plants while still supporting local flexibility. Global workgroups make it easy to share consistent best practices, standard work, and training materials across sites. Local workgroups can then tailor instructions for unique equipment, processes, or regional requirements, ensuring every plant operates to the same standard while maintaining what makes each facility efficient.
Static documents describe the work, but they don’t show how it’s done. DeepHow transforms written SOPs into visual, interactive Smart Instructions that make complex tasks easy to see, understand, and repeat. By combining video, structure, and built-in verification, DeepHow helps teams retain knowledge longer and execute more accurately than with traditional manuals or PDFs, while improving accessibility. Moreover, manufacturers don't lose the work they invested in. Those documents can be seamlessly uploaded into DeepHow and activated across their sites and partner network.
DeepHow’s AI automatically analyzes video recordings or photos of work performed. It detects whether steps are followed in the correct order, identifies skipped or incorrect actions, and flags potential safety or quality risks.
Consistency drives quality and safety. Without verification, standard work can drift as teams adapt, skip steps, or teach informal shortcuts. AI verification keeps every operator aligned with the same standard, reducing errors, improving audit readiness, and reinforcing a culture of continuous improvement.
Yes. DeepHow’s AI can identify partial compliance, such as skipped safety checks or incorrect tool usage. It provides time-stamped evidence for supervisors to review, helping teams quickly pinpoint where retraining or process clarification is needed.
Every verification result becomes feedback for improvement. By seeing which steps are often missed or misunderstood, engineering and training teams can adjust procedures, clarify instructions, or improve ergonomics. DeepHow turns standard work verification into a data-driven tool for continuous operational excellence.
Yes. DeepHow helps teams identify, refine, and validate the most effective way to perform a task. By capturing multiple expert approaches and analyzing them side by side, DeepHow reveals how work is actually performed versus how it’s defined.
DeepHow's AI verification highlights differences in timing, sequence, and outcomes, allowing teams to compare methods, measure performance, and select the process that delivers the best quality, safety, and efficiency. Over time, these insights evolve into continuously improved standard work that reflects real-world best practices across every site.
DeepHow empowers operators to record their own best practices, share improvements, and contribute to training content. This hands-on participation builds engagement and a sense of ownership in how work is done. It also fosters a culture of collaboration and continuous improvement where every employee helps strengthen the organization’s know-how.
Yes. DeepHow makes it simple to capture, structure, and share setup and operation steps for new machines or production lines. Trainers' procedures can be captured, while expert operators can record procedures as they work, and updated instructions can be distributed instantly to every site. This ensures safe, consistent launches and faster readiness for production, while eliminating the need to conduct live training at every site, protecting your bottom line.
Turn your team’s expertise into consistent execution.
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