See how work is performed, identify meaningful process variations and discover which methods produce the best outcomes.






Identify when execution departs from expected, historical, or best-performing patterns, including skipped, reordered, and repeated steps.

Reveal how the same processes differ across cycles, shifts, lines, products, and facilities.

Determine which execution patterns improve or negatively affect quality, rework, cycle time, throughput, and safety.

Turn proven process patterns into better SOPs, targeted reinforcement, and scalable best practices.
Use vision intelligence to understand the steps, sequences, timing, and motions involved in completing work.
Compare observed execution against approved SOPs, expected sequences or historically successful methods.
Relate execution patterns to quality, rework, cycle time, throughput, and safety to separate beneficial from harmful drift.
Use successful patterns to strengthen SOPs, target reinforcement, and verify improved methods.
Process Drift Analysis uses AI and vision intelligence to understand how manufacturing processes are performed and identify variations such as skipped steps, sequence changes, repeated actions and additional motions.
No. Some variations may create risk, while others may represent a better method. DeepHow helps connect variations with manufacturing outcomes to determine which patterns should be corrected or standardized.
It can connect execution patterns with defects, rework, inspection results and first-pass yield to identify process variations associated with quality outcomes.
Yes. Manufacturers can use observed execution patterns to determine whether existing SOPs reflect the safest, most efficient and most reliable way to perform the work.
Live SOP Verification provides immediate feedback while work is being performed. Process Drift Analysis examines execution patterns over time to identify drift, compare methods and improve the standard itself.
Understand process variation, improve standard work and scale proven methods across your operations.
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