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Thesis

International Expansion as a Lucrative Asset.

Cross-border expansion has always been treated as a cost center — expensive, risky, one-off. It should be an asset class: repeatable, governable, and priced. Globiant builds it on the most cloneable substrate in the market — mature data analytics companies now becoming AI companies.

01

The wrong method.

Data-centric companies typically expand abroad through traditional plays: costly, risky, and unproven. They lack local expertise, customer traction, meaningful cash flow, and capital. Most international expansion never survive launch — let alone funding the scaling.

02

The right target.

Mature data analytics companies already monetize proprietary data, hold enterprise relationships, and are now compelled to become AI companies. That maturity is what will make them more valuable for being cloneable — and financeable — abroad.

03

The Globiant solution.

Rights + operators + capital, standardized on one platform (CloneOS). ParentCos keep IP and add regional AI-on-data revenue. Regional CloneCos own the market. Investors access the expansion systemized process method profitably - cleanly.

"International Expansion has been treated as an afterthought for forty years. We treat it as a product, an asset, and a company in its own right."
Hans Bukow, CEO
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