Intel is the world’s largest semiconductor chip manufacturer by revenue, and a leader in AI, IoT, and embedded technologies.
Antho was engaged to design custom analytics systems for Intel India’s chip manufacturing division, with a focus on improving efficiency and error correction during the critical post-silicon validation phase — a key stage bridging design and large-scale production.
Our work with Intel centered around four pillars of focus
Executive Dashboards
We developed executive-facing dashboards tailored to Intel’s post-silicon validation leadership, surfacing insights into test outcomes, error trends, and validation cycle efficiency — supporting faster, data-driven engineering decisions.
KPIs & Platform Analytics
We implemented robust KPIs to monitor chip validation performance and error correction throughput, enabling Intel India’s teams to measure improvements, identify bottlenecks, and drive continuous refinement of internal test platforms.
Excel Modeling & Automation
We integrated validation data into Intel’s existing Excel-based engineering models, then reworked them for clarity, scalability, and automation — reducing manual inputs, cutting errors, and enabling faster analysis across test cycles.
Process Documentation
We documented Intel’s updated validation analytics systems and workflows to support internal scaling, accelerate onboarding for new engineers, and reduce knowledge silos across cross-functional teams.
Executive Dashboards
Intel engaged us to design dashboards that could elevate engineering oversight and improve visibility into post-silicon validation workflows. We developed interfaces that balanced high-level summaries for leadership with deep drill-downs for technical leads — all within a cohesive system.
Our solution centralized key validation metrics, error tracking, and throughput analytics, creating a single source of truth that empowered Intel’s engineering and management teams to make faster, more informed decisions during critical chip testing phases.
KPIs & Platform Analytics
Intel brought us in to optimize internal analytics around their post-silicon validation workflows, with a focus on tracking error resolution rates, test coverage, and engineering throughput. We worked closely with teams to define the right KPIs — ones that reflected real engineering impact, not vanity metrics.
We embedded these metrics into interactive dashboards and analytics platforms, giving Intel’s teams real-time visibility into test cycles, bottlenecks, and success rates. By continuously refining these KPIs through feedback and iteration, we ensured the systems stayed aligned with Intel’s fast-evolving engineering priorities and product timelines.
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Excel Modeling & Automation
Intel’s engineering teams relied heavily on Excel-based models for tracking validation progress and error metrics — but the models weren’t built for scale or automation. We stepped in to modernize these tools by integrating real-time data feeds and reworking the underlying logic for clarity and efficiency.
Our updates reduced manual entry, eliminated redundant formulas, and made the models robust enough to support complex post-silicon workflows. The result: faster analysis, fewer errors, and more confidence in the data guiding day-to-day decisions.
Process Documentation
We thoroughly documented the analytics systems and validation processes we built for Intel, improving operational efficiency and knowledge transfer as their teams scaled. Our structured documentation minimized onboarding time, reduced engineering errors, and reinforced consistency across global teams.
We also supported Intel’s internal stakeholders by creating reference guides and technical walkthroughs tailored to their validation workflows, ensuring that engineers—new and experienced—could ramp up quickly and operate with clarity from day one.
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