Sealsq Makes Further Strategic Investment in EeroQ
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 5 days ago
0mins
Sealsq announced a further strategic investment in EeroQ. Building on the companies' ongoing technology cooperation project, Sealsq has entered into a new investment agreement with EeroQ and has agreed to serve as lead investor in EeroQ's upcoming financing round. This new commitment follows two strategic investments Sealsq made in EeroQ in December 2025 and in February. The investment has been made using the company's Quantum Fund.
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Analyst Views on LAES
Wall Street analysts forecast LAES stock price to rise
1 Analyst Rating
1 Buy
0 Hold
0 Sell
Moderate Buy
Current: 3.480
Low
7.00
Averages
7.00
High
7.00
Current: 3.480
Low
7.00
Averages
7.00
High
7.00
About LAES
Sealsq Corp is a Switzerland based holding company operating primarily in the semiconductor industry. The Company focuses on developing and selling tamper resistant semiconductors, chips, processors and Post-Quantum technology products. The Company also develops certified secure microcontrollers and implement post-quantum cryptography also secure hardware, firmware, and provides other services for customers across multiple industries. The Company’s products are applicable in consumer electronics, aerospace & military, telecommunications, energy and building, logistics, and medical sectors. The Company offers its solutions across the globe: USA, Canada, Europe, Middle East, Asia and Australia.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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See More
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- Privacy Protection Capability: The white paper indicates that VEIL™ excels across multiple supervised learning tasks, compressing sensitive input data while matching or exceeding the predictive performance of raw data models, addressing the performance trade-offs of traditional privacy-preserving methods.
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