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Exohood Labs Secures £143M Investment from Livsquare Capital Family Office

Insider Brief

  • Exohood Labs secured a $189 million investment from Livsquare Capital, raising its valuation to $3.7 billion and fueling the development of its AI models, Exania and GINETTE.
  • The investment will support Exania’s expansion in scientific research and security, and GINETTE’s role in revolutionizing creative industries like movie production and software development.
  • With high demand for Exania Orbe licenses, Exohood Labs is on track for strong commercial success, potentially generating $240 million in revenue and becoming profitable in its first year.

PRESS RELEASE — Exohood Labs, a British artificial intelligence company, has secured a $189 million (£143 Million) investment from Livsquare Capital Family Office, a Polish-based investment firm. This second round of funding catapults the UK-based AI innovator’s valuation to an impressive $3.7 billion, reinforcing its position in the global AI and transformative technology landscape.

The substantial investment will fuel the ongoing development of Exania, Exohood Labs’ renowned AI model designed for scientific research, as well as bolster work on GINETTE (Graphic Intelligence Engine for Transformative Technology Experience). GINETTE, an advanced AI engine, aims to revolutionise creative industries such as movie production, video game development, and software engineering by leveraging cutting-edge artificial intelligence techniques.

Exohood Labs, headquartered in the UK, has been making waves across various sectors including government, space exploration, energy, and commercial industries with its Exania platform. Running on a secure blockchain database, Exania offers enhanced security and operational integrity. Its specialised offering, Exania Orbe, is exclusively available to qualified researchers, government entities, and biotechnology organisations worldwide.

The system’s offline capabilities and local knowledge base allow users to work securely without an internet connection, making it a leading choice for institutions dealing with highly sensitive data. This feature has garnered significant interest from both domestic UK organisations and international entities.

With a standard Exania Orbe license priced at approximately $3,500 per month or $24,000 annually, market demand is substantial. Projections indicate that 10,000 license requests are expected, potentially generating around $240 million in revenue for the British company. An additional 5,000 requests are in the pipeline, with more inquiries anticipated, pointing towards significant commercial success for Exohood Labs.

Livsquare’s timely investment ahead of Exohood Labs’ upcoming Series B funding round reflects strategic foresight and confidence in the British company’s future growth. As Exohood Labs prepares to release its licenses for research centres globally, it is on track to become one of the first AI companies to achieve profitability in its inaugural commercial year, driven by strong international demand and innovative product offerings.

As the UK-based Exohood Labs continues to push the boundaries of AI in research, security, and creative technology, this investment marks what could be a defining era for British artificial intelligence across various sectors worldwide.

About Exohood Labs

Exohood Labs is a technology company focused on developing advanced artificial intelligence solutions for sectors such as scientific research, government, and creative industries. Its AI models, including Exania and GINETTE, are designed to support specialised applications ranging from research and data security to video game development and filmmaking. Exohood Labs combines AI with innovative technologies to meet the needs of various industries.

Website: www.exohood.com

X: twitter.com/ExohoodOfficial

Instagram: instagram.com/ExohoodOfficial

SOURCE

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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