LearnedPhysicsⓇ is an advisory and AI system implementation technology partner. We work with our customers to prepare their Physical AI systems to be production-ready and provide end-to-end support to help enterprises scale Physical AI to improve quality and utilization, and increase the agility of their processes.
AI will increasingly handle repetitive, complex, and nuanced tasks. In many cases, it will enable a complete rethinking of processes. Whether replacing existing human actions or supporting new capabilities, AI must engage seamlessly with people in their daily work and life. The vast majority of investment in AI today is in language and vision but to deploy physical AI at scale requires a reset in how systems are trained and implemented with increasing investment in the MLOPs -- the monitoring, managing, and continuously updating these systems in the field.
Validate & Launch Business Models: Build scalable AI full-stack solutions with enterprise customers
Application Engineering: Establish proficiency in AI solution deployment across industries
Closed-Loop AI: Acheive timing precision, context awareness, and reliable manipulation/actuation
Roadmap Development: Define the AI full-stack roadmap for both skills engines and Physical AI solutions
Go-to-Market Strategy: Develop the partner ecosystem and align with industry-specific solutions
Production to Revenue:Establish new revenue opportunities while bringing AI into production
Vision and Language AI: Inspect for quality control, surveillance, logistics
Entrepreneurial technology executive with proven success of building high-performing global teams, raising the bar on product quality and results, and driving multimillion dollar revenue growth of AI driven physical solutions. Elizabeth leads from the frontline of AI deployment -- with over 800 physical and AI systems in manufacturing, healthcare, government, and autonomous mobility. She delivers business impact measured in topline growth, improved margin, and differentiation in her 20 years’ track record of scaling technology-centric businesses and developing global go-to-market strategies.
Elizabeth has held executive leadership roles at Amazon Web Services (AWS, Global Head of AI Managed Services), Accenture, and Cognex. Her experience extends to start-ups in energy (Founder of StorWatts), edge AI (CBO at Sima.ai), natural language processing, cybersecurity, and e-learning. Elizabeth excels at forging strategic partnerships establishing executive level and operational trust delivering growth, innovation, and market leadership.
Stay updated with our latest workshops, webinars, and conference presentations:
September 25, 2025 -- FOCUS:Intelligent Vision & Industrial AI Conference, Seattle, WA
AI FOR INDUSTRIAL AUTOMATION: Scale AI Solutions with Edge to Cloud MLOPs