In today’s data-driven world, industries are facing a major challenge: how to deploy artificial intelligence (AI) at the edge—where the data is generated—without compromising performance or security.
Whether it’s a combat drone, a medical imaging device, a smart traffic metering system , or a telecommunication satellite , the need for real-time, secure, and efficient data processing at the edge is growing rapidly. Yet, many edge systems are still resource-constrained, and their fragmented hardware environments make AI deployment increasingly complex.
To solve this, Klepsydra and CYSEC are working together on a joint mission:
Deliver a high-performance and secure AI infrastructure tailored for the unique demands of edge computing—across defense, healthcare, space , manufacturing, smart cities , and beyond.
The Challenge: More Data, Less Time, Higher Stakes
As the volume of data generated at the edge grows exponentially, many systems are struggling to keep up. These environments typically have limited computing power, constrained memory, and strict latency requirements. Traditional AI approaches—designed for cloud or centralized computing—simply don’t scale well to the edge.
Adding to the complexity, the hardware landscape at the edge is incredibly diverse. No single standard governs the processors, sensors, or security architectures in use, making it difficult for developers to build portable, robust AI applications.
Then there’s the challenge of security. With more intelligence and autonomy being pushed to the edge, these systems are becoming prime targets for cyber attacks. For industries like defense, healthcare, and space , where a breach could have catastrophic consequences, securing AI workloads at the edge is not optional—it’s essential.
The Solution: Performance + Security, Together
This is where the Klepsydra–CYSEC collaboration brings unique value.
- Klepsydra provides a high-performance edge computing framework designed to maximize processing efficiency on even the most constrained systems. Its software dramatically reduces latency and energy consumption, enabling real-time AI even on legacy or low-power hardware.
- CYSEC delivers ARCA Trusted OS, a secure execution platform that protects AI workloads through trusted execution environments (TEEs). ARCA ensures that data and models are processed in isolated, tamper-proof containers—defending against both internal and external threats.
Together, they provide a scalable, secure, and efficient environment for AI at the edge, enabling deployment across a broad range of applications.
Cross-Industry Impact
It addresses critical needs across industries such as:
- Healthcare: Enable fast, local processing for diagnostic imaging or patient monitoring—while ensuring data privacy and regulatory compliance.
- Space : Deploy AI for real-time intrusion detection and ensure that AI algorithms are not compromised during operations.
- Manufacturing: Power predictive maintenance and quality control on factory floors, even with constrained compute resources.
- Smart Cities: Edge AI is essential in maintaining privacy while enabling new capabilities for a better living.
In all these cases, the proposed solution allows organizations to harness the power of AI at the edge safely, reliably, and at scale.
Edge AI is the future—but only if it can be secure, high-performance, and hardware-agnostic. Klepsydra and CYSEC are making that vision a reality.
By bringing together cutting-edge performance optimization and sovereign cybersecurity, we are empowering businesses and governments to deploy AI where it matters most—at the edge of operations.
Klepsydra Technologies AG:
Klepsydra is a Swiss SME focusing on developing high-performance edge data processing software for autonomous embedded systems to serve applications in the space, aerospace, smart mobility and IoT industries. Klepsydra will provide the high performance SW framework that allows to perform the necessary computing and AI/ML tasks on the available on-board computer.
CYSEC:
CYSEC is a Swiss SME developing security solutions that enable companies to leverage third parties or distributed infrastructures keeping isolated their working environments. Leveraging hardening technologies, confidential computing and remote auditing capabilities, it creates trusted environments allowing companies to extend the scope of their critical activities thanks to the provision of encrypted enclaves, allowing a broader migration of data and applications on unreliable infrastructures such as the cloud (public, private), hybrid-or edge-infrastructures.