Kuzan Analytics & Intelligence (KuzAI) began with a question that followed its founder, Dustin Kuzan, throughout his career: How can better information help us build a better world?
Dustin began his career in 2007 as a project manager and engineer building road projects for the State Highway Administration (SHA) in Maryland. In that role, he saw how important it was to have the right information, at the right time, presented from the right perspective to inform the design of a road.
Engineering decisions depended on more than technical expertise alone. They depended on understanding existing conditions, identifying the needs of the people who would use the road, and organizing information so that it could support sound judgment. The experience showed Dustin that better information could lead to better designs—and ultimately to better outcomes for the communities those projects served.
It also gave him an early appreciation for the importance of data itself. As a civil engineer, he began to see that the future of automating workflows would depend on data: structuring it well, preserving it, and making it possible to retrieve and use it when needed. This became an early orientation toward building a data-centric career.
His master’s degree in public administration, earned in 2011, reinforced his interest in using data to support decision-making. He began thinking more deeply about what happened before a project reached an engineer’s desk: Who identified the need? Who shaped the idea? What information determined which projects moved forward?
That curiosity led him into planning, where he developed a data-driven pedestrian safety program for SHA. He built an Access database and GIS maps to better organize and make accessible pedestrian safety data across the state. The work showed him how information systems could help people see patterns, compare needs, and make decisions from a shared foundation.
Learning to connect the pieces
While working on pedestrian safety and bicycle network initiatives in Maryland, Dustin encountered a challenge that would become central to his future company.
Identifying a problem was only the beginning. Choosing how to address it meant coordinating offices, funding, competing priorities, technical possibilities, and public needs. A pedestrian bridge, a tunnel, a signalized crossing, or new pavement markings could each represent a different path forward. Helping people understand those paths required information they could trust and use.
Dustin began building systems with GIS and databases. Forms helped people contribute information. Shared records preserved it. Maps and reports gave different people the perspectives they needed to make decisions.
The same information could support many perspectives—and help an organization move together.
He carried that understanding into consulting, working on ADA transition plans, transit data collection and operations, and traffic engineering. Across those settings, the challenge kept returning: how to turn observations into structured information, structured information into shared understanding, and shared understanding into action.
For years, he imagined building an engineering company of his own.
A turning point
In 2019, Dustin received a Young Engineer Award from the American Council of Engineering Companies of Maryland. It felt like a high point in a career built around engineering and public service.
Within months, his outlook changed. A local election loss for the Bowie City Council prompted reflection about his future in politics. Then, two months later, the COVID-19 pandemic disrupted the consulting work around which he had built his career.
The rebuilding that followed opened a larger question: What did he want to spend the rest of his career working on?
He explored fields including neuroscience, biomedical engineering, and artificial intelligence. AI stood out for its potential to influence work across industries. He pursued formal AI education through an online program associated with the University of Texas at Austin and later earned another credential through the United States Artificial Intelligence Institute.
As he continued working in Virginia local government, his direction became clearer. He wanted to build AI systems—and devote his career to the alignment challenge: how to make increasingly capable AI reliably serve human purposes and contribute to a better future.
Bringing two ambitions together
Dustin founded Kuzan Analytics & Intelligence (KuzAI) in April 2025.
The company joined two ambitions that had developed at different points in his life: the longstanding desire to own an engineering business and the newer commitment to pursue AI alignment.
Initially, engineering services would support the business while funding longer-term AI research. Through that work, Dustin began to see a closer connection. Engineering offered concrete problems through which to develop and evaluate AI systems: physical conditions, changing information, professional responsibilities, and decisions with consequences for people.
It also offered a natural setting for exploring the data foundations of automation. Engineering workflows generate large amounts of information, but that information becomes truly useful only when it is structured, connected, retrievable, and available in the context where decisions are made.
At the same time, Dustin came to see that AI alignment is not only about making systems follow instructions. It is also about helping them develop the right orientation: grounding their reasoning in accurate information, relevant context, human values, and the long-term goal of building a better world. A capable system can still produce harmful outcomes if it is directed by incomplete information, distorted incentives, or an inadequate understanding of what people are trying to achieve.
That connection is taking shape through MacroNOVA, KuzAI’s developing MVP. It explores how AI can maintain a more coherent relationship with information, context, human direction, and broader human purposes as work evolves. The goal is not simply to make AI more capable, but to better understand how to steer language models toward decisions and actions that remain aligned with the future people are trying to build.
Why KuzAI exists
KuzAI carries forward the purpose that first drew Dustin toward engineering, data, and public service: helping people make informed decisions that improve the world around them.
Today, that means bringing engineering experience, data-centric systems thinking, and AI research into the same practice—building useful tools for engineers while investigating the deeper challenges that determine whether those tools deserve people’s trust and whether increasingly capable AI can be oriented toward human flourishing. For owners of AEC firms, licensed engineering firms and other licensed professional practices, that work starts from shared professional responsibilities and an understanding of professional liability.
The company is still being built. Its direction is grounded in a conviction formed across years of engineering, planning, and organizational work:
Better-structured information can support better automation. Better information can shape better decisions. Better-oriented AI can help people pursue better outcomes. Better decisions can shape a better future. KuzAI exists to help make those connections possible.
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