Product
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See how companies are using Instrumental
Mission-critical systems demand complete control over how products are built. Instrumental gives engineering teams a system to capture factory signals — images, test results, and process data — and turn them into production controls that prevent failures before they ship.
Surface known and unknown failure modes using discovery-driven inspection. Instrumental learns directly from factory signals, enabling engineers to identify issues with minimal data and in high-mix, low-volume environments.
Identify where yield is lost across stations, tests, and suppliers by analyzing factory signals as a system. Prioritize and resolve the highest-impact failure modes early—preventing rework, scrap, and stranded inventory from building up.
Continuously discover and resolve issues as they emerge, reducing late-stage surprises. Keep production on schedule by ensuring failure modes are identified, understood, and controlled before they impact delivery.
Create a unified record of every unit across images, test results, and process history. Enable full traceability across your supply chain while supporting faster failure analysis and consistent production control.
Instrumental ensures data safety and ITAR compliance with strict security measures and third-party audits. We prioritize the privacy and integrity of customer data and do not use it to train our algorithms.
"Instrumental stations are quick and easy to deploy and bring various options like using UV lights to also detect conformal coating coverage issues"
One-month breakeven using superhuman inspection to achieve zero escapes
Today is the best time to implement any technology that leverages your data to provide value. Every day that passes is another missed opportunity to improve business KPIs, deliver for your customers, or improve your company’s intellectual property.
Instrumental’s technology is designed to be low-lift to integrate at any point in the product lifecycle. Aerospace and defense customers implement Instrumental to:
Statistics based on customer Case Study