Who it's for

If the old way felt out of reach, this is for you.

The same visa category behaves differently depending on who is applying. An AI engineer, a founder, and a postdoc filing the same EB-1A face completely different problems — the founder's is corporate structure, the researcher's is citation framing, the engineer's is proving adoption of work that lives on GitHub. These pages start from the situation.

For AI engineers and researchers

U.S. visas for AI engineers

How O-1A, EB-1A, and EB-2 NIW apply to machine learning engineers and AI researchers: which parts of an ML career satisfy the criteria, what USCIS discounts, and why model cards and open-source adoption can be stronger evidence than a publication list.

For startup founders

U.S. visas for startup founders

Immigration options for startup founders: why the O-1A petitioner requirement catches sole owners, how to structure a company that can sponsor you, what venture funding proves, and when EB-2 NIW beats EB-1A for entrepreneurs.

For academic researchers

U.S. green cards for academic researchers

How EB-1A and EB-2 NIW work for postdocs, faculty, and research scientists: what citation evidence actually needs to show, why your university's immigration office may not mention self-petitioning, cap-exempt H-1B, and the J-1 two-year rule.

Not sure which of these you are?

Skip the framing and check your record directly. The eligibility screener tests you against the published O-1A, EB-1A, and EB-2 NIW criteria and cites the regulation behind each item, and the visa guides cover every category in full.

Every filing is reviewed and signed by a licensed attorney

VisaSherpa is an AI-powered platform, not a law firm. The AI drafts and analyses evidence; an independent, bar-licensed immigration attorney reviews, edits, and signs every petition as your counsel of record.

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