  Artificial intelligence (AI) has become a valued technology in many
companies. At the same time, a substantial potential for utilizing AI
\emph{across} company borders has remained largely untapped. An inhibiting
factor concerns disclosure of data to external parties, which raises legitimate
concerns about intellectual property rights, privacy issues, and cybersecurity
risks. Combining federated learning with domain adaptation can provide a
solution to this problem by enabling effective cross-company AI without data
disclosure. In this Viewpoint, we discuss the use, value, and implications of
this approach in a cross-company setting.
