FOR ENTERPRISE ELECTRONICS

Accelerate NPI and improve quality with AI

Use the AI-powered visual inspection and failure analysis toolkit to find and solve issues in your NPI design and assembly process. With an AI and data platform for your entire product lifecycle, you can meet your NPI deadline, prevent dark yield, and improve quality and yield.

Accelerate NPI

Detect novel defects that would have remained hidden with continuously learning anomaly-detecting AI. Then, trace and resolve issues in minutes with a comprehensive data record and list of proposed root causes and meet your deadline every time.


Increase Engineering Efficiency

Streamline failure analysis workflows with AI-powered correlations, virtual teardown, and complete data record of every unit. Our technology eliminates 100s of root causes quickly and helps you trace defects, saving engineering time spent on running DOE’s, data collection and debugging.

Prevent field failures and dark yield

Using AI, discover novel and known defects early in design and prevent them from turning into problems in production. This will ensure no defect escapes from your factory and de-risk the ramp and mass production.

Reduce Rework

Intercept defective units in the upstream assembly process using pass/fail tests. This approach allows for the early detection of issues, reducing the need for costly and time-consuming downstream fixes like teardowns and rework.

Improve FPY

Catch production issues early with anomaly-detecting AI and pass/fail monitoring. Then, trace and resolve issues using a historical data record and AI-powered failure analysis tools to minimize the risk of additional defective units and boost your initial yield.

Automate Inspection

Augment operator judgment with automated AI-powered visual inspection. The AI runs 100s of inspections in seconds and reduces human error in high-mix scenarios by swiftly switching contexts and highlighting defects.
Manufacturing AI and Data Platform 
Instrumental delivers a real-time unified, traceable manufacturing data record, providing valuable insights across the product lifecycle.
Leverage AI for preventative and corrective action, production management, and digital transformation.

Ensured consistent product quality and reduced defect hunt and root cause time by half.

Axon avoids launch delays with AI

3% improvement in FPY by using Instrumental as an inline quality check

$15B ELECTRIFICATION LEADER, SOLAR EQUIPMENT

FAQ

Instrumental’s approach centers on data analysis rather than data origin. Our solutions have been successfully applied to various products, including blade servers, enterprise cameras, EV chargers, solar inverters, and infrared cameras. We collaborate closely with clients to configure the imaging station to align with your specific product requirements, or we can use an existing image source like an X-Ray machine, AOI machine, etc.

Instrumental is sought after in five key scenarios by its customers:
– To enhance yield on an existing production line
– To establish new factories or lines without compromising quality or speed
– To stabilize production that has gone out of control
– To expedite New Product Introduction (NPI) programs across remote factory locations
– To supervise distant Joint Design Manufacturer (JDM) or Original Design Manufacturer (ODM) partners
The company’s value persists throughout the entire product lifecycle, even after initial objectives have been accomplished, making it a reliable and long-term business partner.

Yes, The Instrumental solution has proven its efficacy in low volumes of mission-critical electronics like solar inverters, first responder radios, and blade servers. This is possible by using a sophisticated generalized low-shot algorithm, facilitating seamless implementation with as few as 30 units. With the added benefits of full traceability and high mix features, our customers can efficiently manage multiple SKUs across different sites, streamlining their operations and improving efficiency.

Schedule a Cost Savings Analysis with one of our Solutions Architects

Molly McShane

Solutions Architect
jQuery(document).ready(function(){ jQuery('body').addClass('header-white'); });