Vectorspace AI (VXV) is a unique digital asset that strives to provide high-value correlation matrix datasets to researchers. It employs patent-protected Natural Language Processing (NLP) and Natural Language Understanding (NLU) to expedite data-driven innovation and discoveries. The objective is to assist researchers by enabling them to swiftly test hypotheses and conduct experiments with higher throughput. The technology of Vectorspace AI originates from the Life Sciences department of Lawrence Berkeley National Laboratory (LBNL), where the founders developed the patents that fuel the company's innovation.

Vectorspace AI operates by utilizing advanced artificial intelligence (AI) and machine learning (ML) technologies to discover hidden relationships and provide context-dependent insights. It strives to minimize loss or enhance signal in AI and ML pipelines. The platform processes approximately 4000 peer-reviewed scientific papers every 24 hours, focusing on real-time visualization of data sources as published data expands exponentially. To ensure dataset security, provenance, lineage, and governance, Vectorspace AI employs the ERC20 blockchain, which provides immutability.

Vectorspace AI intends to benefit any group involved with launching life into space. It aims to develop countermeasures against diseases associated with stressors resulting from human spaceflight. These countermeasures not only strive to protect humans in space but also aim to serve as new forms of precision medicine for all mankind. The development of these countermeasures may include personal multi-omic profiling using new biological insights associated with molecular compounds and materials, enabling new therapeutic solutions.

Vectorspace AI was born in the Life Sciences department of Lawrence Berkeley National Laboratory (LBNL), where the founders developed the patents that fuel the company's innovation. The company maintains three core labs: a Biosciences Lab, a Hardware & CubeSat Lab where they design and launch biological CubeSats, and an AI Lab which includes biological language modeling, generative AI, protein sequence matching, vector DBs, and advanced visualizations. This pipeline strives to enable the development of countermeasures against diseases associated with stressors resulting from human spaceflight.