OxiliumAI was created from a shared belief that AI should make real work easier - not
add another complicated system for people to manage.
James Benton and Ziv Pollak met through the Johns Hopkins Whiting School of
Engineering and quickly realized they shared the same goal: build practical AI tools
that save people time, reduce effort, and help professionals focus on the work that
truly requires judgment and expertise.
For James, the idea came from years spent inside the civil engineering and project
delivery process. Civil engineering work depends on accuracy, coordination, documents,
reviews, standards, details, and decisions. Those items matter, but they also create a
huge amount of repetitive effort. Engineers and project teams spend valuable time
searching files, reviewing information, tracking details, creating documents,
responding to comments, and reconstructing project context.
When James met Ziv, their visions aligned. Ziv brought deep machine learning,
software, and production AI experience. James brought civil engineering domain
experience from hands-on design work through senior project leadership. Together, they
decided to build OxiliumAI around one clear purpose:
Create helpful, reliable AI tools that deliver real value to engineering teams.
The name OxiliumAI reflects that purpose. It is inspired by auxilium, the Latin word for
help, and the ox - strong, reliable, humble, and useful. That combination captures the
spirit of the company: practical AI built to help people do meaningful work better.