Data-driven M&A Analysis

μ ( B ) = sup { G f : supp ( f ) = K B , ρ K ( f ) = 1 } \mu(B) = sup \left\{\int_G f : supp(f) = K \subseteq B, \rho_K(f) = 1 \right\}

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Kähler M&A

We simulate hypothetical M&A scenarios between European and US based technology companies.

Our data-driven solution is particularly calibrated to help the management and investors of enterprise unicorn companies find out if their companies should merge before going public. However, public investors can also leverage our M&A predictions to help anticipate large M&As before they happen.

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