Why We Created RELAI
At RELAI, our goal is to make AI reliability accessible and achievable for all. Built on years of academic and industry research, RELAI is designed to address the full spectrum of AI reliability—from development to deployment. Through our RELAI agents—AI driven tools that actively identify and mitigate reliability issues—we empower you to ensure your AI models are accurate, trustworthy, and dependable.
With RELAI, businesses and individuals alike can confidently integrate AI into their workflows, knowing they have a reliable, robust foundation to depend on. At RELAI, we believe in building AI you can trust—so you can always rely on RELAI.
Leadership Team
Soheil Feizi
Founder and CEOSoheil Feizi, Founder and CEO of RELAI, is a renowned expert in the field of reliable and trustworthy Artificial Intelligence (AI). Currently on leave from his academic position as an Associate Professor in the Computer Science Department at the University of Maryland, he holds a Ph.D. from MIT and completed his postdoctoral research at Stanford University.
Dr. Feizi has been recognized with numerous prestigious awards for his work in AI reliability, including the ONR Young Investigator Award, the NSF CAREER Award, the ARO Early Career Program Award, and two best paper awards. He has also received the Ernst Guillemin Thesis Award, a teaching award, and over fifteen research awards from national agencies and industry partners. His contributions to AI reliability have been featured by major media outlets such as The Washington Post, BBC, MIT Technology Review, Bloomberg, and The Wire.
In addition to his research and leadership roles, Dr. Feizi recently testified before the U.S. House's Bipartisan Task Force on AI, highlighting his commitment to advancing AI in ways that ensure safety, accuracy, and trust.
Priyatham Kattakinda
Technical LeadPriyatham Kattakinda is the Technical Lead at RELAI, where he drives the development of cutting-edge AI technologies. Before joining RELAI, Dr. Kattakinda earned his PhD from the University of Maryland, focusing on improving the reliability of large language models and vision models, particularly in uncommon and challenging settings.
In addition to his academic achievements, Dr. Kattakinda completed the NSF I-Corps program at the national level, serving as the Entrepreneurial Lead. He was also honored with the Outstanding Graduate Assistant award from the University of Maryland's Graduate School for his contributions in advancing AI reliability both in academic and commercial settings.
Dr. Kattakinda also brings extensive expertise from his previous roles in developing production-level AI tools, making him a valuable leader in AI innovation.