AI is only as strong as the people guiding it.
Who we are
TrustVector is committed to advancing trust between humans and machines because the future of AI isn't about what technology can do, it's about whether we can be trusted to use it responsibly.
Our network of specialists — across AI governance, legal and regulatory compliance, data science, and organizational change — ensure your business has the deep bench of knowledge and experience that complex AI decisions require.
Meet our founders
CHIEF EXECUTIVE OFFICERFormer PwC digital transformation executive with 20+ years of experience across healthcare, life sciences, enterprise technology, and AI risk
Aleksandar Jevtic
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Aleksandar Jevtic co-founded TrustVector to help bring greater accountability, transparency, and trust to the way organizations adopt AI. As CEO, he brings 20+ years of executive leadership experience across healthcare, life sciences, enterprise technology, and digital transformation, including senior roles at PwC Advisory Services, HighPoint Solutions, and IMS Health. He is an IEEE Standards Association Certified AI Ethics Lead Assessor, trainer, and evaluator, as well as a member of the NIST AI Consortium. His work is shaped by a conviction that AI systems should be built responsibly from the start, especially in the high-stakes environments where their decisions affect people, institutions, and public trust.
CHIEF SCIENTIFIC OFFICERApplied mathematics scholar grounding TrustVector’s work in statistical rigor, computational data science, and algorithmic reliability
Dr. Sonja Petrović
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Co-founder Dr. Sonja Petrović shapes TrustVector’s approach to responsible AI through deep expertise in mathematics, statistics, and computational data science. A Professor of Applied Mathematics at the Illinois Institute of Technology, she works at the intersection of statistics, computational mathematics, data science, and algorithmic reliability. Her research spans randomized algorithms, algebraic statistics, and applications of data science in public policy, with support from the National Science Foundation, Department of Energy, Department of Defense, and Simons Foundation. She also founded the Socially Responsible Modeling, Computation, and Design initiative, translating technical research into context-aware societal impact. Her work is shaped by a commitment to making AI systems technically rigorous, trustworthy, and accountable in practice.
Our global team and partners
Our values
Approachable
We work alongside our clients, not above them
Trusted
We earn trust through experience, not promises
Rigorous
Grounded in real math, science, and credentials — not AI hype
Empathetic
We never forget the people behind AI systems and decisions
Optimistic
AI, done right, is good for business