Antoni Grgurovic is the founder of Dalmatian Consulting, a private digital reputation and AI visibility advisory. He advises founders, principals, executives, and public figures on the digital record surrounding their names across search, media, and artificial intelligence systems. The firm operates between Manila and Zadar and serves clients in the United States, Southeast Asia, and Europe.
Grgurovic holds an M.S. in Scientific and Technical Communication from the University of Minnesota and a B.A. in English, Philosophy, and Creative Writing from the University of Arizona. He worked in industrial and engineering documentation, most recently as an Advanced Digital Content Engineer at 3M and earlier at Bosch Automotive Service Solutions. His writing has appeared in the Duluth News Tribune, Tulane Review (Tulane University), and J Journal (CUNY John Jay College of Criminal Justice).
Background
I did not arrive at reputation work through marketing or public relations. I trained as a technical writer, producing documentation for industrial manufacturers and engineering teams. Accuracy, structure, and clarity were operational requirements in that work, not stylistic preferences.
It shaped how I understand information systems. Documentation is written to be parsed, reused, and trusted by readers who will not ask a follow-up question. Ambiguity in a technical document produces a failure downstream. I hold digital identity to the same standard.
The Work
I founded Dalmatian Consulting in 2025. The premise is that the first assessment of a person now happens before any introduction, and a machine assembles it.
Investors, journalists, recruiters, and prospective partners research people through large language models before they open a website or review a profile. Those systems build answers by comparing sources across publications, company records, interviews, professional biographies, structured data, and third-party references. When the available sources are thin, inconsistent, or disconnected, the output fails in predictable ways. Systems merge people who share a name. They omit significant work. They date a career to whichever employer left the largest public trace. They compress an under-documented person into a smaller version of that person.
The most consequential reputation problem is rarely a scandal. It is being under-defined. Absence is not neutral. A system asked to describe someone it cannot resolve returns something vague, and vague reads as unremarkable.
Method
I work through the Principal Reputation Architecture Program, a four-phase private advisory framework: a confidential exposure review, an authority foundation built on official identity and owned assets, credible third-party narrative development, and ongoing reputation protection.
The sequence is deliberate. Diagnosis precedes construction. I do not attempt to influence AI systems through promotional volume. I improve the quality, consistency, and verifiability of the information those systems already read.
I run every engagement myself. What a client retains is my judgment applied to their situation, not a process handed down to an account team.
The Name
Dalmatian Consulting is named for Dalmatian Air Co., the New York HVAC business my father founded. He came from Croatia and built the company through direct relationships, consistent service, and word of mouth.
The lesson carried forward. What changed is where the first layer of trust forms. My father established credibility face to face. That still decides business. It now happens after a machine has already offered an opinion.
Writing
I write long-form profiles of founders, investors, artists, and operators, published in the Profiles section of this site. The subjects vary. The interest is consistent: how people who have built something significant are understood by people who have not met them.
I also write The Machine's Version, an essay published every other week on how names are read by search, media, and AI systems.
Contact
I review inquiries personally. Request a private review.