Our team unites AI scientists from the world's leading research labs with seasoned enterprise strategists who have transformed industries. Together, we translate frontier AI research into measurable business outcomes.
Founder & CEO
Google Brain · Stanford AI Lab
Former Principal Scientist at Google Brain with 18 years of AI research and commercialization experience. Led the development of large-scale recommendation systems serving 2B+ users. PhD in Computer Science from Stanford University.
Chief Technology Officer
OpenAI · MIT CSAIL
Former Research Lead at OpenAI, contributed to GPT-3 and GPT-4 development. Expert in transformer architectures and RLHF training methodologies. PhD from MIT, 12 patents in machine learning systems.
Chief Strategy Officer
McKinsey & Co · Palantir
15 years of enterprise digital transformation at McKinsey, followed by 5 years leading AI product strategy at Palantir. Advised 80+ Fortune 500 companies on AI adoption roadmaps across manufacturing, finance, and healthcare.
Chief Data Officer
Meta AI · Carnegie Mellon
Led data infrastructure for Meta AI Research, managing petabyte-scale datasets for computer vision and NLP projects. Associate Professor (on leave) at Carnegie Mellon's School of Computer Science. Expert in federated learning and data governance.
Our advisory board brings together leading voices from academia, industry, and policy — ensuring SVAIL remains at the forefront of responsible AI innovation.
Prof. Andrew Sterling
Stanford HAI
AI Ethics & Policy Advisor
Dr. Elena Vasquez
DeepMind
Research Advisor
Michael Torres
Former CTO, Fortune 100
Enterprise Advisor
Dr. Yuki Tanaka
University of Tokyo
AI Research Advisor
Rachel Kim
Sequoia Capital
Venture & Growth Advisor
Dr. Omar Hassan
WHO · Harvard Medical
Healthcare AI Advisor
At SVAIL, we believe the best AI solutions emerge at the intersection of deep technical expertise and genuine business understanding. Our culture fosters intellectual curiosity, rigorous experimentation, and a relentless focus on client outcomes.
Research-First
Every solution is grounded in peer-reviewed methodology and empirical validation.
Client Partnership
We embed with your team, not just advise from the outside.
Global Perspective
Diverse backgrounds drive better AI — for every market, every culture.