AI-Powered Analytics for Semiconductor Manufacturing & Tech

The Seeq & Intel Journey

The semiconductor industry faces intense competition, where facilities performance significantly impacts yield, quality, and costs. Intel’s Discovery program shifts from reactive responses to proactive anomaly detection, using data intelligence to prevent costly interruptions. By integrating subject matter expertise with automation, Intel enhances its investigation processes, allowing for earlier detection of issues before they escalate. This innovative approach not only improves decision-making but also sets the stage for more autonomous facilities operations, freeing engineers to concentrate on innovation and resilience.

As semiconductors drive the AI revolution, staying competitive requires precision and agility.

With Seeq, your experts are empowered to uncover the insights that have been trapped in your operational data—insights that drive more efficient, sustainable operations.

Advanced, Actionable Critical Facilities Monitoring

Whether you operate a data center, semiconductor fab, or high-tech manufacturing facility, visibility into the performance of your facility and equipment is critical to maximizing profits. With access to operational data and intuitive AI-enhanced semiconductor manufacturing analytics capabilities, your team has everything they need to develop a deep understanding of the relationships between facility and operational performance.

“Co-located with leading semiconductor companies at the Albany Nanotech Complex, the University at Albany’s College of Nanotechnology, Science and Engineering’s (CNSE’s) students and researchers use Seeq to analyze complex datasets in real time, optimize semiconductor processes and facilty operations, and gain hands-on experience with industry-leading analytics. This collaboration bridges academia and industry, equipping the next generation of engineers with the skills to drive semiconductor innovation.”

– Michael Fancher, Senior Research Associate at the University of Albany’s College of Nanotechnology, Science and Engineering

Realized Customer Business Impact

Seeq delivers measurable business impact by turning complex semiconductor operations data into actionable insights that help teams detect issues earlier, optimize critical systems, and make faster, more informed decisions.

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30%

Faster anomaly detection in UPW systems, delivering 7 figure annual savings

20%

Reduction in technician workload via autonomous workorder generation

120K+

More than 120,000 labor hours saved annually by integrating asset management and semiconductor manufacturing analytics

15%

Energy efficiency increase in chilled water plants

Driving Outcomes,
Driving Profitability

Facilities Optimization

Reduced energy consumption, reliable power delivered, and optimized consumables usage.

Real Time
Monitoring

Cooling and wastewater, PDUs and electrical, HVAC and CRAC systems

Condition Based Maintenance

Fewer unplanned shutdowns, extended asset life, Automated with AI.

Secure Data
Hub

Bi-directional, automated, secure data driven collaboration with key OEMs and Suppliers

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Reduce Costs. Increase Output. Operate Smarter.

Improve Sustainability

Good for the environment, good for the bottom line.

Powering data centers, fabs, and high-tech manufacturing operations requires a lot of resources, and energy usage is one of the largest operating costs you have. Reducing energy costs, along with optimizing water usage, is an easy way to add to your bottom line and conserve precious natural resources. It’s a win-win that you really can’t ignore.

Reduce Downtime

Downtime is expensive—really expensive.

Downtime isn’t just inconvenient—it’s lost wafer starts, missed SLAs, and delayed AI workloads. In fabs and data centers, every unplanned outage shows up in your OEE, availability, and revenue attainment metrics. High-performing teams use data and semiconductor manufacturing analytics to see issues early, schedule interventions precisely, and keep critical systems online.

Optimize Output

Make your operations work harder—and smarter.

Make your operations work harder—and smarter by turning process data into measurable gains. In fabs and data centers, that means higher throughput, shorter cycle times, better yield/SLAs, and tighter control of cost per wafer and cost per MW—all from one view of your assets and workflows.