Exodus Space selected as a Deep Tech Pioneer
by Hello Tomorrow
November 6, 2019 – Paris, France
Hello Tomorrow, a global organization dedicated to leveraging deep technologies to solve world challenges announced its list of Deep Tech Pioneers for 2020. These are companies that are making a huge impact to help solve some of our greatest challenges. Selected among more than 5,000 startups from 128 different countries that applied to the Global Challenge, Exodus Space was selected within its NewSpace category.
We are really excited to be recognized as a Deep Tech Pioneer for our efforts in developing our Exodus Space AstroClipper. We look forward to participating at the Hello Tomorrow Global Summit in Paris this March 2020. – Frank Trevino CMO
Our Exodus Space AstroClipper is transforming access to space as a fully reusable and efficient, AI-driven horizontal take-off and landing spaceplane to make access to space efficient, affordable, safe and sustainable for the benefit of all humanity. We can land and take-off from any spaceport runway around the world and will eventually create a human-rated version.
At Exodus Space, we realize the greatest challenge of space is getting there. The costs are enormous, the risk is high and current approaches are not sustainable. Our goal is to make space affordable and thus more accessible.
The more we bring the cost down, the more opportunities we have to access space. The more we access space, the more we can accomplish with science and technology to help address the challenges we face as a society.
Exodus Space is excited to share its vision to make space efficient, affordable, sustainable and safe with its new AstroClipper family of spaceplanes designed for horizontal take-off and landing from spaceports around the world. From cargo payload transport, satellite launch, debris collection, lunar transfer, crew transport and intercontinental trips, the AstroClipper offers innovative aerodynamic in-line staging, fuel-efficient supersonic engines, advanced lightweight materials and embedded artificial intelligence technologies.