Issue discovery, failure analysis, and quality monitoring in a single platform

Finding and detecting issues for teams at leading companies globally:

Engineering teams rely on Instrumental to ship their products sooner, with fewer quality issues. Instrumental delivers AI-powered proactive defect discovery, end-to-end failure analysis tools, and remote real-time build monitoring, all in a single simple cloud platform.

See how it works

43%

Reduction in Rework
3X

Product Engineering Efficiency
30 Min

Installation Time
< 60 Days

to Positive ROI
50%

Reduction in Inspection Costs

Artificial Intelligence for Smart Manufacturing

Make better decisions with real-time data from the factory floor

Instrumental delivers a unified, traceable data record to help identify and investigate issues starting in your earliest EVT builds. Unify your product data, act on it faster, and leverage AI to solve previously intractable problems on your line.

Development

Production

Discover

Defect detection AI for Smart Manufacturing

Detect unanticipated defects other inspection systems may miss. Our complete visual history of every unit facilitates faster failure analysis so you get to design stability faster.

Solve

Instant, virtual failure analysis

Engineers depend on Instrumental during NPI to quickly diagnose and solve issues using our virtual failure analysis tools built on top of a complete, integrated data record including visuals, functional tests, and custom data streams.

Monitor

Maximize quality and eliminate escapes

Convert issue monitors from development automatically into production-grade line tests, including real-time interception, dashboards, and custom alerts.

Without Instrumental, we would not have found the issues on time – some of them we would have never found [until our customers did].”

Marcel Tremblay

Director of Mechanical Engineering, FLIR Systems

View Case Study

Programs that used Instrumental during development ramped faster than products that did not use it.”

Lyon Wang

Director of Engineering and NPI, Motorola Mobility

View Case Study

[Failure analysis] is normally something I’d only be able to do on-site, I’d have to actually fly there, and this lets me do that remotely which is very important to us.”

Principle Applications Scientist

P2i

View Case Study