Vector Space Biosciences, Inc. focuses on context-controlled NLP/NLU (Natural Language Processing/Understanding) and feature engineering for hidden relationship detection in data related to space biosciences. Our platform powers advanced approaches in Artificial Intelligence (AI) and Machine Learning (ML) using experimental and formal language models including well-known models such as OpenAI"s GPT-3 (2020), Google"s BERT (2018), word2vec (2013) combined with experimental methods developed at Lawrence Berkeley National Laboratory (2008) Biosciences division.