DeepL, the language AI platform, successfully scaled their Americas business from 0 to 40 people while 3X'ing ARR in less than a year.
They made four key mistakes along the way, including underestimating legal complexity and over-reliance on HQ strategies.
The eight key learnings from their scaling process include prioritizing the new geography, setting clear expectations, building a precise hiring machine, and choosing a deliberate hub strategy.
DeepL achieved impressive results, including strong ARR growth, successful US headquarters establishment, and a solid foundation for further expansion.