Redefining Quality in the Connected Vehicle Era: Upstream and Gary Silberg Join Forces

We are excited to announce another great industry thought leader joining our journey. Gary Silberg, an automotive executive and former Global Head of Automotive at KPMG, is joining forces with us to champion our groundbreaking Cybersecurity and Proactive Quality Detection Solution.

Gary Silberg brings nearly three decades of expertise in the automotive and mobility ecosystem, having advised some of the world’s leading OEMs, suppliers, and technology companies. His insights into the future of mobility, connected vehicles, and data-driven innovation have made him one of the most respected voices in the industry. By partnering with Gary, we aim to highlight the transformative potential of Proactive Quality Detection in redefining after-sales quality investigations across the automotive landscape.

At Upstream, we are dedicated to enabling automakers and smart mobility players to unlock the full potential of their connected vehicle data. Through this collaboration, we will work closely with customers and partners to explore, analyze, and help shape the next generation of data-driven, AI-powered quality detection and investigations.

This collaboration marks the beginning of an exciting journey, and we’re eager to share more updates with you in the coming weeks. Together with Gary, we’re committed to driving innovation, helping improve driver safety and vehicle reliability, and delivering excellence in the automotive industry.

Gary Silberg shared his thoughts on the collaboration:

“The automotive industry is experiencing a seismic transformation, and solutions like Upstream’s Proactive Quality Detection are pivotal in ensuring this evolution is scalable and sustainable. I’m excited to partner with Upstream to help drive this vision forward, enhancing automotive customer satisfaction, and empowering after-sales and quality leaders to boost customer trust and loyalty by proactively addressing vehicle quality issues.

As a global leader in AI-powered automotive cybersecurity and data management, Upstream already monitors over 30 million vehicles worldwide and collaborates closely with some of the world’s largest and most innovative automakers.”

Leveraging the Power of AI to Reduce Recall and Warranty Costs

The journey toward connected and software-defined vehicles has introduced unparalleled opportunities for innovation, but it has also brought new challenges. As vehicles generate more data than ever, automakers face increasing pressure to harness this data for early detection of quality issues and effective root-cause investigations. Traditional quality detection methods often result in delayed responses, high warranty costs, and damaged brand reputation.

This is where Upstream’s Proactive Quality Detection solution, powered by Ocean AI, steps in. By leveraging connected vehicle data and a robust suite of AI and ML models, our solution enables automakers to detect quality issues early, identify root causes faster, and ultimately reduce warranty and recall costs while improving customer satisfaction.

Upstream’s Proactive Quality Detection solution is powered by a cloud-based cybersecurity and data management platform, purpose-built for the automotive industry. It integrates seamlessly with OEMs’ existing cloud workloads, data lakes, and connected vehicle data streams, while enabling customer playbook automation and warranty system integration for streamlined responses.

Leveraging Upstream’s vehicle digital twin technology—a live representation of each vehicle—the platform captures and enriches data in near real-time from telematics, diagnostics, dealership repair orders, warranty claims, SBOM, etc. This data is processed by Upstream’s Ocean AI, and helps analyze historical and real-time data to profile vehicle behavior, uncover insights, and facilitate faster corrective actions.

Purpose-built machine learning models empower after-sales quality teams to monitor, analyze root causes, and prioritize quality issues. The solution’s Compound Impact Score (CIS) evaluates issue severity, estimated fleet impact, and safety implications, enabling better triage and response to high-impact quality challenges.

Gary’s extensive experience and forward-looking perspective align perfectly with Upstream’s vision of leveraging connected vehicle data for smarter, safer, and more reliable vehicles. His involvement will amplify the conversation around the critical need for proactive quality detection and investigation in an era defined by connectivity and autonomy.