WISeSat.Space integrates post-quantum cryptography into satellites

GENEVA - WISeSat.Space, a Nasdaq-listed company (NASDAQ:SAIQ), has announced plans to incorporate post-quantum cryptography into its satellite communications and Internet of Things infrastructure. The company aims to safeguard communications and satellite operations from both traditional cyber threats and potential risks posed by quantum computing.

This initiative involves collaborating with SEALSQ Corp. (NASDAQ:LAES) to utilize their post-quantum semiconductor technologies alongside digital identity management and cryptographic key control across various devices, infrastructure, and satellite platforms.

Carlos Moreira, WISeSat.Space's Founder and CEO, emphasized that security serves as a cornerstone in their business strategy to develop a satellite communications system catering to government agencies, enterprises, and critical infrastructure operators. Following their October 2026 merger and Nasdaq listing, the company secured a $10 million PIPE investment from SEALSQ to develop a quantum-resistant space architecture.

WISeSat.Space currently operates nine active low-earth-orbit satellites, backed by ground stations situated in Lausanne, Switzerland, and La Línea de la Concepción, Spain.

The company's long-term objectives include establishing a 100-satellite constellation by 2033, contingent upon financial backing, technological advancements, regulatory endorsements, and launch schedule. This architecture is designed in alignment with the guidelines outlined in U.S. Executive Order 14412, announced on June 22, 2026.

The order mandates the transition of federal information systems to NIST-approved post-quantum cryptography, with specific deadlines set for key establishment by December 31, 2030, and digital signatures by December 31, 2031, for high-value assets and high-impact systems associated with federal operations. The company's technology strategy integrates SEALSQ’s Quantum Shield QS7001 and QVault TPM platforms, which are NIST-compliant, supporting algorithms such as ML-KEM and ML-DSA.