In an increasingly globalized world, language localization tools have become indispensable. However, there is a glaring disparity in the distribution of these resources. While English and other dominant languages benefit from advanced machine translation (MT) technologies and Large Language Models (LLM), many languages remain marginalized. Luckily, there are some initiatives underway to address this concern. This research aims to explore the development of language technology tools for low resource languages. The study evaluates organizations’ efforts to develop language resource data/tools for low resource languages with regards to machine translation (MT), speech-to-speech translation (S2ST), and what the outlook may be for the future.