How ZING AI came to be
ZING AI was founded in 2022 by Randall Wang, a seasoned AI entrepreneur who saw a clear gap between cutting-edge AI research and real-world business applications. After years of building AI systems at leading tech companies, Randall set out to create a company that makes advanced artificial intelligence accessible to businesses of all sizes.
What started as a small team working out of a San Francisco office quickly grew into a company at the forefront of applied AI. By combining deep research expertise with a practical, business-first approach, ZING AI developed solutions that deliver real results — not just impressive demos.
Today, ZING AI serves clients across industries, from startups to Fortune 500 enterprises, helping them harness the power of AI to automate processes, uncover insights, and build intelligent products.
What drives us every day
“To empower businesses worldwide with intelligent, accessible, and responsible AI solutions that drive innovation, efficiency, and growth.”
We believe that AI should work for everyone. Our mission is to bridge the gap between cutting-edge research and practical business applications, delivering AI that is powerful yet easy to adopt, transparent, and aligned with our clients' goals.
The people behind ZING AI
CEO & Founder
Visionary entrepreneur with over 15 years of experience in AI and enterprise software. Randall founded ZING AI with a mission to make advanced artificial intelligence accessible and practical for businesses of all sizes.
CTO
PhD in Computer Science specializing in deep learning and NLP. Sarah has published over 30 research papers and holds multiple patents in AI technology. She leads the technical vision and architecture at ZING AI.
VP of Engineering
Seasoned engineering leader with a track record of building scalable AI platforms. Michael brings expertise from leading engineering teams at top-tier AI startups and ensures our solutions meet the highest standards of reliability.
Head of AI Research
Award-winning AI researcher with expertise in reinforcement learning and generative models. Emily drives innovation at ZING AI, translating cutting-edge research into practical business applications.