State of the industry

The true cost of human error in manufacturing

On the assembly line, even the smallest mistakes resulting from human error or inconsistent frontline execution can compound into unplanned downtime, product recalls, rework, and workplace safety incidents — costing manufacturers millions in lost productivity and revenue each year.

$50B
Unplanned downtime costs industrial manufacturers an estimated $50 billion annually.
20%
Human error accounts for roughly 20% of all unplanned manufacturing downtime incidents.
$7.4B
The U.S. manufacturing industry loses over $7.4 billion each year to serious, nonfatal workplace injuries.
80%
On average, human error accounts for at least 80% of workplace injuries experienced across the manufacturing industry.
Example use cases

Detect & correct errors before they become costly mistakes

Reduce rework, recalls, and downtime resulting from human error and inconsistent execution by embedding AI-powered error detection, corrective guidance, and quality assurance checks directly into your frontline workflows.

Reduce rework, recalls, and downtime resulting from human error and inconsistent execution by embedding AI-powered error detection, corrective guidance, and quality assurance checks directly into your frontline workflows.

Equipment inspection

Missed steps and mechanical issues are flagged in real time, ensuring inspections are completed accurately and consistently

Troubleshooting & repair

Technical issues are detected, diagnosed, and resolved immediately without having to call and wait for maintenance or expert support

Precision picking & packing

Missing and incorrect items are flagged before packages are sealed, preventing costly rework and returns

Batch changeover

Incorrect configurations are detected early, reducing delays and preventing downstream errors

Safety compliance

Mistakes, missteps, and safety hazards are immediately caught and corrected before they result in accidents and workplace injuries

Assembly line errors

Missing, incorrect, and/or improperly placed parts are identified and corrected in real time before impacting product quality

What kinds of errors can Strivr AI detect?

Smart glasses integration allows Strivr AI to “see” what your workers see in real-time — enabling instant, hands-free detection of operational errors, inconsistencies, missed steps, missing components, and safety violations that occur within workers’ field of view. In other words, if an issue or error is visible to your worker, Strivr AI will see it and detect it.

How does Strivr AI know if and when a mistake has been made?

Strivr builds customer-specific visual language models (VLMs) to detect when a procedure or task is incorrect, incomplete, or out of sequence. VLMs are AI systems that combine computer vision and natural language processing to understand, interpret, and learn from image- and text-based inputs.

Our Engineering team trains your VLM using multimodal media files (images, videos, PDFs, etc.) that illustrate and/or describe how specific procedures, operations, and workflows are carried out at your company.

Strivr AI leverages this foundational knowledge base to visually compare a specific procedure against its internal understanding of what the “correct” steps for the procedure should look like.

If the execution of the procedure is visually inconsistent with the “correct” outcome, Strivr AI delivers voice-based, audio guidance via the built-in speakers on your workers’ smart glasses to inform them that a mistake has been made, then provides detailed instructions on how to fix it.

Does Strivr AI only work on smart glasses? What devices are supported?

Strivr AI is optimized for smart glasses because they enable hands-free user interaction, real-time interpretation of visual input,  and seamless delivery of voice-based guidance in the flow of work. Supported devices currently include Vuzix Smart Glasses and Ray-Ban Meta AI glasses.

Strivr AI also runs on Android smartphones and tablets for workflows that don’t require hands-free interaction, giving teams flexibility based on their needs, preferences, and working environment.

Does Strivr AI replace operators or automate tasks?

No. Strivr AI supports operators by helping them catch and correct mistakes in real time, improving operational efficiency, standardizing frontline execution, and enhancing output quality without sacrificing human control.

How is Strivr AI different from traditional training?

Training prepares workers ahead of time. Strivr AI supports workers while they work by detecting operational errors and delivering corrective guidance as tasks are performed in real time.

By providing workers with on-demand access to AI-powered guidance and quality assurance support whenever and wherever they need it, Strivr AI can help your team ramp new hires faster, accelerate onboarding, and reduce the need for extensive shadowing and constant supervision. Strivr AI is not intended to fully replace traditional training, but it can certainly be used to bolster, facilitate, and reinforce your current training program.
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