We spent over 7 years in the automotive and aviation industries trying every tool we could find. Nothing came close to what fleet operations actually needed. So we built it ourselves, from scratch. Systems that could handle trillions of data points every day. Predictive maintenance that actually worked in the real world. That experience taught us what works and what doesn't. Now we're bringing all of it to QuantumStream, as a product anyone can use. More capabilities, better efficiency, and built for any connected device fleet you can think of.
Built Data, AI, and IoT organizations from the ground up in the automotive industry. Led edge computing systems that processed trillions of daily telemetry records and developed predictive maintenance capabilities that prevented device failures at scale. Previously held leadership roles at AWS and Twitter. Brings deep expertise in cloud-edge architectures, distributed systems, and ML platforms.
Partnered with Sam to architect Data, AI, and Fleet Intelligence platforms in the automotive industry, delivering 23x efficiency gains processing petabyte-scale telemetry. Built enterprise solutions for predictive maintenance, ADAS, and real-time monitoring. Previously Data Architect at OpenTable. Expert in cloud-native architectures and distributed systems.
AI and ML expert specializing in real-time intelligent systems and IoT device monitoring. Founded Intelligent eHome, where he developed AI-powered connected-home systems with predictive analytics and smart automation. His Ph.D. research focused on machine learning algorithms for real-time signal analysis and pattern recognition. Brings expertise in embedded systems, hardware-software integration, and automated diagnostics.
Pioneer in direct-to-patient healthcare. Partnered with Mayo Clinic, Stanford Health, Roche, and Moderna. Former Head of Partnership at Helix and Director of Product at Yahoo.
Co-founded Zipper Interactive (Sony), creators of the award-winning SOCOM U.S. Navy SEALs franchise. Holds patents for graphics hardware. Former Division Scientist at Loral Space & Communications.
We're changing how companies manage connected device fleets. Instead of reacting to failures after they happen, our edge processing platform predicts problems before they affect operations. This cuts telemetry costs by 90-99% while improving reliability.
Fleet operators, engineers, and executives can predict and prevent failures before customers or operations are impacted. The platform reduces costs and complexity while giving teams the data they need to make better decisions faster.
We're building the standard fleet intelligence platform for connected devices. Our goal is to cover 1M+ devices globally across automotive, manufacturing, data centers, and IoT operations. Prevent billions in warranty and downtime costs through edge intelligence, predictive AI, and automated diagnostics.
Device failures will be predicted and prevented before they impact operations. Quality issues will be caught earlier in the supply chain. Fleet operators will work with clean data and clear insights, not just data scientists buried in spreadsheets.