At 12, Zack Dvey-Aharon was already working on data analytics. It is the sort of biographical detail that can swallow everything that comes after it. A precocious child arrives in the opening paragraph; the adult spends the rest of the profile trying to get a word in. Dvey-Aharon’s subsequent choices deserve their own hearing. They include a doctorate, a founding partnership with a friend, and an unusually persistent interest in what happens when software leaves the setting in which it was developed.
Today he is the co-founder and CEO of AEYE Health. His public career moves between machine learning research and company building, two occupations with different daily demands. One asks whether a method works. The other asks who will use it, how it will reach them, and which colleagues can help turn a promising result into a working organization. A good answer to the first question still leaves a considerable amount of Tuesday afternoon unaccounted for.
The age at which Dvey-Aharon says he began working on data analytics.
An unusually early start
The early interest is documented in his own account. Looking back in 2020, Dvey-Aharon placed the beginning of his work with data at age 12. A later conference biography also describes him beginning academic life at that age. Those details establish an early entry into the subject. They give his eventual career a longer runway than the recent surge of public enthusiasm for artificial intelligence might suggest.
His education continued at Tel Aviv University, where he earned a master’s degree and a doctorate. His PhD was in machine learning. The discipline became both an academic pursuit and the basis for his entrepreneurial work. By the time he was explaining the origins of AEYE, he was describing the passage from research to a system he wanted to build, then to a company that could carry it forward.
The sequence matters more than the novelty of the starting age. An early aptitude can make a memorable introduction. Sustained study gives it a direction. Building an organization introduces a further test: whether other people can participate in the idea and make it useful. Dvey-Aharon’s biography becomes more interesting as the cast expands.
A university with open doors
When he spoke about Tel Aviv University in 2025, Dvey-Aharon emphasized an aspect of education that rarely gets its own line on a résumé. He remembered access to people. He described students being able to approach others, ask questions and find support for trying something new. For someone whose later work involved moving between disciplines and recruiting collaborators, that is a particularly relevant recollection.
His account makes the university sound like a place where research had a social dimension. The degree records a completed course of study. Access describes what can happen along the way: a conversation, an unfamiliar problem, a person who knows something you do not. In that telling, education includes the opportunity to follow a question beyond the limits of your own desk.
“I think there is quite a lot of support there for people who want to try new things.”
Zack Dvey-Aharon, on Tel Aviv University, 2025
It is a modest observation beside the language often attached to AI. It also gives the founder story a human scale. Dvey-Aharon chose to describe an environment that helped people experiment. The emphasis falls on conditions that made work possible, rather than on a single dramatic moment of inspiration. His later founding story has a similarly conversational beginning.
The conversation in 2018
In 2018, Dvey-Aharon approached his friend Danny Margalit about the system he was developing. In Dvey-Aharon’s recollection, Margalit was immediately interested. He joined him, and together they formed what became AEYE Health. Company material from the early period dates its establishment to June 2018. The origin contains a researcher with a project, an existing friendship and a decision to work together.
Margalit brought a different professional history. He was a co-founder of Aladdin Knowledge Systems, the software security company, and had served as its chief technology officer. Early AEYE materials identify him as chief operating officer and co-founder, with expertise in products and intellectual property. Dvey-Aharon appears alongside him as CEO and co-founder, with a machine learning doctorate and a background in entrepreneurship.
The pairing put technical research and experience building a software business into the same small organization. It is a useful corrective to the way a founder’s name can become shorthand for everyone’s work. Even at the beginning, this story had two founders with different experience. The company’s early documents make that division visible, placing the people and their specialties next to one another.
- Age 12Begins working with data analytics
- 2018Co-founds AEYE with Danny Margalit
- 2024Included in TIME100 AI
- 2025Adds a chief business officer to the leadership team
Small enough to leave the lab
One of Dvey-Aharon’s recurring technical concerns is portability. He has stressed the importance of making algorithms perform on small devices under real conditions. It is an unglamorous requirement in the best sense: a concern with the circumstances in which a person will actually encounter the work. The environment around the software becomes part of the engineering problem.
That emphasis gives his research background a practical edge. A device has constraints. People have routines. An organization has systems already in place. Software has to meet them somewhere. His comments repeatedly return to the need for an algorithm to function within those conditions. The attraction of the idea depends partly on how little ceremony is required to put it to work.
He has also drawn a clear boundary around what his company builds. In 2024, he explained that AEYE uses off-the-shelf cameras rather than developing the hardware itself. That is a specific choice about where to concentrate effort. Camera manufacturers supply the devices; AEYE concentrates on its software. The relationship between the two becomes a matter of integration and partnership.
For a founder, that boundary also shapes the company around the technology. Choosing what to build means choosing the expertise to hire and the partners to work with. A portable device looks small on a table. The network of decisions that makes the software usable on it can be considerably larger.
The company gets more people-shaped
AEYE’s early leadership materials describe a team extending beyond the two founders. Izik Itzhakov handled business development. Amit Wohl led product. The documents give each a distinct background and responsibility. Together, they show the beginnings of an organization with more to do than refine a model: products needed direction, relationships needed attention and the company needed a way to reach its market.
A later addition brought another existing relationship into the business. On September 4, 2025, AEYE announced Yonatan Raz-Fridman as chief business officer. Raz-Fridman had founded Supersocial and co-founded Kano Computing. His new responsibilities included growth strategy, key accounts, channels and strategic partnerships. These are the mechanisms through which a company tries to carry its work to a wider audience.
Raz-Fridman separately described Dvey-Aharon as a longtime friend. His account of reconnecting after Supersocial’s acquisition adds a personal thread to the appointment. As with Margalit, an established relationship appears in the public account of a business decision. Friendship did not supply the job description; Raz-Fridman’s experience supplied the professional rationale. But the connection helps explain how the people in this story came back into one another’s orbit.
For Dvey-Aharon, the appointment marked another expansion of the leadership team around his research-led beginning. Growth required its own experience and responsibilities. The founder who had once approached a friend about a developing system was now welcoming an executive charged with partnerships and distribution.
The list, and the work after it
In September 2024, Dvey-Aharon was included in TIME100 AI. The recognition placed his name in a public conversation about the people shaping artificial intelligence. It is the easiest milestone in his career to put on a card: a year, a list, a familiar publication. It also arrived six years after AEYE’s founding, well into the less easily summarized business of building a company.
His public work has continued to include research. He is listed as first author on a paper published in August 2026, alongside a group of collaborators. The author list and the executive title describe different forms of participation. Together, they show that his professional identity still includes scientific work as well as leading an organization.
Look across the chronology and the connections become more revealing than any single honor. There is the early interest in data, the university education, the friend who became a co-founder, the colleagues who took responsibility for product and business development, and the later executive brought in to widen the company’s reach. Each adds a person or a practical requirement to the original technical interest.
At 12, data offered Dvey-Aharon something to investigate. As a founder, he has had to give that investigation colleagues, devices, partnerships and a business structure. His recollection of university returns to questions and the people willing to entertain them. It is a fitting detail to keep in view: even a career built around machine learning still has a great deal to do with whom you can talk to.