Vectorspace AI

Vectorspace AI supplies relationship data for AI systems: NLP and NLU models turn literature, patents and market text into word vectors, which are assembled into correlation matrix datasets where rows are entities and columns are attributes, such as particles against properties, diseases against approved compounds, or equities against global events, exposing hidden links for hypothesis generation and thematic basket construction. Datasets ship by subscription and can be appended to a client's own data.

Delivery and billing are tied to the chain: a wallet address doubles as the API credential, usage is priced per minute, source and row-column dimension, and provenance of sources, computation and versions is hashed into a data pipeline record for audit. The technology traces to vector space research at Lawrence Berkeley National Laboratory, with customers and collaborators including CERN, EMBL and S&P Global across life sciences, finance and materials.