SEETEL & Partners Launch 261-kWh Quantum-Secured BESS Platform

Executives from SEETEL New Energy, Aegis Critical Energy Defence, and Quantum eMotion convened in Taiwan this week to demonstrate a 261-kWh platform designed to fortify energy storage against future cyberattacks. The collaboration addresses a specific and growing threat: what the companies describe as “Harvest Now, Decrypt Later,” the practice of collecting encrypted data to be deciphered once quantum computers become powerful enough to break current encryption standards. By embedding quantum-level encryption directly into the physical architecture of battery energy storage systems, the partners seek to secure critical infrastructure for applications ranging from defence to AI data centres. “By combining QNC’s encryption capabilities and Aegis’s expertise in EMS integration and energy deployment with our storage hardware, we are moving beyond equipment manufacturing toward delivering a secure energy infrastructure platform,” stated SEETEL, signalling a shift towards comprehensive cyber-secure energy solutions.

SEETEL, Aegis & Quantum eMotion Form Quantum-Secured BESS Partnership

The newly launched platform boasts a capacity of 261 kWh, designed for demanding applications including defence installations, artificial intelligence data centres, and isolated microgrids. Executives from all three companies inspected SEETEL’s production facilities, verifying the integration of Quantum eMotion’s patented Quantum Random Number Generator (QRNG) technology into Aegis’s Energy Management Systems. Aegis highlighted the strategic importance of this collaboration for securing advanced infrastructure. “By combining SEETEL’s advanced manufacturing capabilities with QNC’s cybersecurity technologies, our solutions are strongly positioned for North American government procurement opportunities and NATO-aligned infrastructure requirements,” said Ramtin Rasoulinezhad. Quantum eMotion emphasized the growing link between energy systems and national security, adding, “QNC is pleased to see our quantum encryption technology integrated directly into SEETEL’s hardware through this partnership.” The companies are now focused on fulfilling initial orders in the U. S. and expanding into Canadian and broader North American markets.

QRNG Technology Integrates with Energy Management Systems

The convergence of quantum random number generation (QRNG) technology with energy management systems (EMS) represents a significant escalation in securing critical infrastructure against increasingly sophisticated cyber threats. Battery energy storage systems (BESS) have become essential for grid stabilization and renewable energy integration, but their inherent connectivity introduces vulnerabilities; traditional encryption methods are proving inadequate against the potential of quantum computing. This week’s demonstration in Taiwan of a platform, a collaboration between SEETEL, Aegis, and Quantum eMotion, highlights a proactive approach to this challenge. The core innovation lies in embedding Quantum eMotion’s patented QRNG directly into the physical architecture of the energy storage system. Aegis’s contribution focuses on advanced EMS integration, crucial for optimizing energy flow and resilience. “Aegis is dedicated to providing resilient energy solutions for advanced infrastructure applications,” said Ramtin Rasoulinezhad, positioning the alliance for potential government procurement opportunities, particularly within NATO-aligned infrastructure. The successful implementation of QRNG-secured EMS integration across multiple battery energy storage solutions, confirmed during inspections of SEETEL’s production facilities, signals a move beyond simple equipment manufacturing toward a fully secure energy infrastructure platform.

By combining QNC’s encryption capabilities and Aegis’s expertise in EMS integration and energy deployment with our storage hardware, we are moving beyond equipment manufacturing toward delivering a secure energy infrastructure platform.

SEETEL

Beyond simply combining hardware and software, the collaboration focuses on embedding cybersecurity directly into the physical layer of energy storage, addressing vulnerabilities exposed by the potential for future quantum computing attacks. Aegis anticipates significant opportunities within North American government procurement and NATO-aligned infrastructure projects.

We look forward to supporting the continued commercialization of this secure energy platform alongside Aegis and SEETEL.

Quantum eMotion

Strategic Positioning for Government & NATO Infrastructure Opportunities

The convergence of energy storage and cybersecurity is rapidly becoming a critical concern for national infrastructure, particularly as threats evolve beyond conventional cyberattacks. SEETEL, Aegis, and Quantum eMotion are jointly addressing this challenge with a platform recently demonstrated in Taiwan and poised to pursue opportunities within government and NATO-aligned initiatives. This strategic alliance is particularly well-positioned to capitalize on North American government procurement, given Quantum eMotion’s NYSE listing and Aegis’s established relationships within Canadian Indigenous procurement and NATO frameworks. The partners are now focused on fulfilling initial U. S. orders and expanding into broader Canadian and U. S. markets, anticipating a growing demand for quantum-secured energy infrastructure.

QNC is pleased to see our quantum encryption technology integrated directly into SEETEL’s hardware through this partnership.

Quantum eMotion
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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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