CubeSatGPT™: Talk with Satellites Orbiting in Space with AI Agents & Models by Vector Space Biosciences

SAN DIEGO--(BUSINESS WIRE)--CubeSatGPT™ enables anyone to communicate with satellites and their payloads launched by Vector Space Biosciences. 50+ Waterbears (Tardigrades) will be launched into space on CubeSats (nanosatellites) to generate high-value datasets related to microgravity and space radiation (stressors) beamed back to Earth using Microsoft Orbital ground stations. Datasets will be analyzed using advanced AI modeling, AI agents, inference, generative AI layers and visualizations. This pipeline will lead to new discoveries in medicine, materials, molecular, chemical and life sciences resulting from space-based operations and the ‘new space economy.’

Vector Space Biosciences founder and CEO, Kasian Franks, states: “Imagine enabling a student to ask a CubeSat carrying Waterbears questions using a prompt like ‘How are the Waterbears doing today?’ or ‘Describe how cold it is in space for the Waterbears‘ to more advanced prompts involving details related to measurements in microgravity and radiation associated with payloads. This innovative CubeSatGPT™ module will be optional for all CubeSat launches including those for biotechnology, pharmaceutical, materials science and AI semiconductor payloads.”

Recently, stakeholders and shareholders of public and private companies, including Microstrategy (MSTR), have seen extraordinary benefits from holding part of their capital reserves in cryptocurrencies such as Bitcoin (BTC) and other ‘alternative assets.’ Vector Space Biosciences is a private company structured to benefit stakeholders and shareholders which include our users, customers, partners and collaborators. Today, and similar to other proven and successful models, this is based on our own operations and holdings in cryptocurrencies. Our weighted holdings include Bitcoin (BTC), Vector Space Biosciences (SBIO), Vectorspace AI X (VAIX) including other spinoffs and subsidiaries through our VSB Ventures unit with each having a specific industry focus, corporate structure, equity arm, crypto arm, product line and revenue.

A limited number of free subscriptions to the CubeSatGPT™ service will be available to K-12 students, teachers, educational institutions and EdTech companies as a utility enabling safe and secure access for students to communicate with CubeSats and get updates and education on tardigrades, CubeSats, space conditions, etc. This is a powerfully innovative way for children to learn about space and space biosciences. Each subscription comes with 1 SBIO AI model cryptocurrency token enabling access to CubeSatGPT™.

SBIO tokens can also be used by customers, partners and collaborators to access specialized services related to design, development and launching industry specific payload support in areas such as medicine, materials, molecular, chemical and life sciences resulting from space-based operations. These tokens can be traded or bought and sold on exchanges today.

For an information packet on CubeSatGPT™ or additional payload services: [e-mail]

About Vector Space Biosciences

VSB develops AI models with data from the space industry based on enabling biotechnology, pharmaceutical and AI semiconductor customers to launch payloads via CubeSats enabling development of new drug compounds to the radiation-hardening of AI semiconductors. Data from biological payloads along with AI modeling (language modeling) can be used to develop new forms of precision medicine related to human aging and cancer or provide insights into radiation’s effect on AI semiconductors used in data centers being built in space today. Our primary goal connects to understanding how to develop countermeasures against stressors on the human body during spaceflight, like microgravity and radiation, resulting in new forms of precision medicine for all mankind. VSB maintains the token symbol SBIO, a utility token based in Dubai and parent company to VAIX and other spinoffs in the space and precision medicine industry. More information can be found here: https://vectorspacebio.science/technology.