ML models rely mainly on the data they are trained on. We build different training datasets (annotated corpora, parallel corpora, language models, etc) to help with different NLP tasks and solutions. Such tasks include but are not limited to PoS tagging, spell checkeing, diacritization, TTS, ASR, etc.
We build data fast, smart, and most importantly based on deep linguistic knowledge. We tailor data to suit your task in terms of size and format.