ELECTRA AI and Naoris Quantum Protocol Partner on Quantum-Safe Battery Intelligence
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Insider Brief ELECTRA AI and Naoris Quantum Protocol have partnered to develop a post-quantum cybersecurity framework for AI-driven battery intelligence systems. The collaboration combines ELECTRA AI’s battery intelligence platform with Naoris Quantum Protocol’s decentralized trust and post-quantum cryptography technologies. The companies aim to support secure battery applications across energy storage, electric mobility, robotics, data centers, and space systems. PRESS RELEASE — ELECTRA AI (“Electra”) and Naoris Quantum Protocol Inc (“Naoris Quantum Protocol”) today announced a partnership to bring post-quantum cybersecurity to AI battery intelligence, the fast-growing layer where always-connected battery systems meet the AI models that monitor, optimize, and control them. The two companies are pairing Electra’s AI Brain for Batteries™ platform with Naoris Quantum Protocol’s post-quantum, decentralized trust layer to advance a cybersecurity framework designed specifically for AI battery intelligence.Energy and mobility infrastructure has shifted from fixed hardware toward AI-managed, software-defined systems. Batteries have become the connective tissue of that shift, generating billions of telemetry events every day across the grid, data centers, electric vehicles, robotics, and space assets. As those systems take on monitoring, optimization, and control decisions, the integrity of the data feeding them shapes the integrity of every decision.That dependency raises new requirements for protecting battery data, both today and throughout the asset’s operating life. The integrity of telemetry feeding AI models, the trustworthiness of firmware on unattended systems, and the long-term resilience of the cryptography itself all become foundational. Because battery assets often stay in service for 10 to 15 years or more, the protections built in today need to remain valid well into the post-quantum era — including against harvest-now-decrypt-later scenarios, where data captured now is decrypted once quantum computing matures.Naoris Quantum Protocol brings post-quantum cryptography to the data layer, drawing on standards such as CRYSTALS-Dilithium and the algorithms NIST finalized as FIPS 203, 204, and 205 in August 2024.
Its Decentralized Proof of Security (dPoSec™) consensus and decentralized device integrity model are designed to enable connected battery systems to continuously verify the trustworthiness of their peers, anchoring battery intelligence to data that can be proven authentic at the source.The partnership arrives alongside a tightening regulatory landscape. Frameworks including the EU Battery Passport, the NIS2 Directive, and UNECE R155 are raising expectations for traceability, cybersecurity, and resilience across battery-powered infrastructure.“Batteries are becoming the most software-defined, AI-managed, and continuously connected assets of the energy transition. That’s reshaping what trust and resilience need to look like. The next generation of battery intelligence will be defined not just by smarter models, but also by verifiable data at the source.
Naoris Quantum Protocol brings post-quantum cryptography and decentralized device integrity to the AI Brain for Batteries™ platform, future-proofing the category we’re building across grid, data centers, robotics, space, and e-mobility,” said Fabrizio Martini, CEO and Co-Founder of ELECTRA AI.“Trust in the AI is only as strong as trust in the data feeding it,” said David Carvalho, CEO and Co-Founder of Naoris Quantum Protocol. “We are partnering with ELECTRA AI to secure the battery edge so that every reading, every model, and every control decision rests on verified, quantum-safe foundations. Securing this layer by design is how the AI-defined energy era stays resilient across the decades these assets will operate.”Together, ELECTRA AI and Naoris Quantum Protocol intend to apply Verifiable Battery Intelligence across energy infrastructure, including battery energy storage for the grid, renewables, and data centers, alongside autonomous systems spanning robotics and space, and electric mobility. The companies plan to develop the framework as shared infrastructure for a category they aim to help define in the next phase of the AI-defined energy transition.
Mohib Ur Rehman LinkedIn Mohib has been tech-savvy since his teens, always tearing things apart to see how they worked. His curiosity for cybersecurity and privacy evolved from tinkering with code and hardware to writing about the hidden layers of digital life. Now, he brings that same analytical curiosity to quantum technologies, exploring how they will shape the next frontier of computing. Share this article: