Vectorspace AI company info

What does Vectorspace AI do?
Vectorspace AI (CRYPTO:VXV) is a data-driven AI company that leverages cutting-edge machine learning (ML) and natural language processing (NLP) techniques to accelerate scientific discovery and innovation in space biosciences, biotechnology, and pharmaceutical development. Vectorspace AI operates scientific data engineering pipelines that create targeted language models from real-time datasets, enabling AI applications in hypothesis generation, drug discovery, clinical trial design, and materials science. Vectorspace AI collaborates with scientific labs and companies on projects like NLP datasets with CERN for particle physics, tools with Elastic to visualize alpha, AI models for human aging biomarkers, predicting tumor response in cancer treatment, and personalized dietary recommendations in nutrigenomics. The objective of Vectorspace AI is to accelerate the pace of scientific discovery and innovation in space biosciences, biotechnology, and pharmaceutical development by providing scientists with powerful AI tools and solutions. Vectorspace AI believes that AI has the potential to revolutionize these fields and to lead to the development of new and innovative treatments for diseases, new materials with desirable properties, and new insights into the fundamental nature of life.
Vectorspace AI company media
Company Snapshot

How many people does Vectorspace AI employ?

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Employees
11-50

What is the market cap for Vectorspace AI?

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Market Cap
$30.82M

Where is the head office for Vectorspace AI?

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Head Office
San Francisco, California

What year was Vectorspace AI founded?

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Year Founded
2016
What does Vectorspace AI specialise in?
/AI & Big Data

What are the products and/or services of Vectorspace AI?

Overview of Vectorspace AI offerings
Alpha generation: Vectorspace AI can be used to generate alpha, a measure of excess return of an investment relative to the market as a whole. This can be useful for investors who are looking to outperform the market.
Clinical trial design: Vectorspace AI can be used to design more efficient and informative clinical trials.
Data engineering: Vectorspace AI builds targeted language models from real-time datasets, which can be used for hypothesis generation, drug discovery, clinical trial design, and materials science.
Drug discovery: Vectorspace AI can be used to identify new drug targets and to design and optimize drug candidates.
Hypothesis generation: Vectorspace AI can help scientists to generate new hypotheses by identifying patterns and insights in complex datasets that would be difficult or impossible to find manually.
Materials science: Vectorspace AI can be used to design new materials with desired properties, such as nanomedicines for targeted drug delivery.