Quantum Companies, Quantum Funding

GigCapital8 to Fund Quantisimo’s Quantum Public Debut

Avatar of Ivy Delaney
October 9, 2026 by Ivy Delaney

WISeQey and SEALSQ are establishing Quantisimo Corp. as a publicly traded company through a definitive agreement with GigCapital8 Corp., with plans for a Nasdaq listing under the symbol “QSMO.” The move will create a specialized quantum platform, valued at approximately $666.1 million based on 66,610,000 shares at $10.00 per share. This business combination, initially outlined in a letter of intent on June 24, 2026, will result in WISeQey and SEALSQ collectively holding a majority of the outstanding ordinary shares in the new Quantisimo Holding Corp.

WISeQey, SEALSQ and GigCapital8 Form Quantisimo Holding Corp.

GigCapital8 will provide at least $15 million in funding to support the formation of Quantisimo Holding Corp., facilitating the public listing of the quantum platform on the Nasdaq Capital Market. “Our vision is to connect the foundations of digital trust with quantum networking, quantum computing and secure terrestrial and space infrastructure,” said Carlos Moreira, Chief Executive Officer of WISeQey and WISeSat. Space.

By bringing together complementary businesses, intellectual property and strategic quantum investments, we aim to give governments, enterprises and infrastructure operators greater control over the technologies that will underpin the quantum economy.” Quantisimo’s strategy centers on integrating capabilities across the quantum value chain, from cryptographic roots of trust to quantum computing infrastructure, with a particular emphasis on sovereign control over critical technologies. The company intends to establish a secure and trusted quantum ecosystem, connecting security foundations with the physical systems that generate and process quantum information.

The business combination will contribute interests in Miraex SA, SEALCOIN AG, WeCan Group SA and WISeSat. Space Holdings Corp. GigCapital8’s sponsor has committed to a six-month lock-up period for their shares and will vote in favor of the transaction, solidifying financial backing and support for Quantisimo’s long-term goals.

The transaction structure also includes the potential for a PIPE investment, priced at no less than $10.00 per share, which would further bolster Quantisimo’s capital resources. “Partnering with GigCapital8 and Dr. Avi Katz, whose approach has guided numerous technology companies to the public markets, provides a path to the U.S. public markets to support this strategy,” Moreira added. WISeQey and are expected to remain majority shareholders following closing, reflecting our long-term commitment to developing the platform and creating lasting value for our shareholders, partners and customers.

The creation of Quantisimo is intended to establish a company focusing exclusively on quantum technologies rather than integrating them as a secondary component within a larger organization. This specialization allows Quantisimo to concentrate its resources and expertise on developing and commercializing a comprehensive sovereign quantum platform, addressing the unique security and sovereignty requirements of its customers, WISeQey says. The company’s strategy encompasses the development, acquisition and commercialization of complementary capabilities across the quantum value chain, progressively connecting digital infrastructure security with quantum information systems.

Today marks a milestone in our ambition to build Quantisimo as a pure-play sovereign quantum vertical platform, from Root to Qubit.

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Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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