Terra Quantum and Apex.AI demonstrate quantum-safe security for long-lived, cloud-connected, software-defined systems. Successful implementation demonstrates secure edge-to-cloud communication using NIST-standardized post-quantum cryptography while preserving existing application architectures and software investments. ST. GALLEN, Switzerland and PALO ALTO, Calif., July 24, 2026 /PRNewswire/ - Terra Quantum, a global leader in quantum technologies, and Apex.AI, a leading provider of safe and secure software for software-defined vehicles and intelligent machines, today announced the successful implementation of NIST-standardized post-quantum cryptography (PQC) for secure communication between an Apex.AI-based robotic software environment and a cloud-based control system. Markus Pflitsch, Founder, CEO and Chairman of Terra Quantum. The collaboration demonstrates how connected robotic, automotive, and defense systems can securely exchange information with cloud services using standardized quantum-resistant cryptography while preserving the communication patterns and distributed software architectures that modern intelligent systems rely on. The implementation provides a practical blueprint for bringing quantum-safe security to long-lived connected systems without requiring fundamental changes to existing applications. As quantum computing continues to advance, many of today's widely deployed public-key cryptographic algorithms are expected to become vulnerable to cryptographically relevant quantum computers. For software-defined vehicles, autonomous systems, connected robotics, data of national security concern, and platforms designed to remain in service for decades, this creates a long-term cybersecurity challenge. These systems increasingly depend on secure communication with cloud-based services for monitoring, diagnostics, software updates, fleet management, coordination, and remote operation, making the transition to quantum-resistant security an important priority. The implementation combines Terra Quantum's post-quantum cryptography capabilities with Apex.OS to enable secure cloud communication using NIST-standardized quantum-resistant cryptographic algorithms. Apex.OS provides the software-defined robotics and intelligent-machine foundation for this joint solution, enabling secure edge-to-cloud communication in an application environment representative of modern autonomous and connected systems. Importantly, the solution preserves existing communication workflows and application architectures, enabling organizations to strengthen cybersecurity while maintaining compatibility with modern distributed software systems. "Connected intelligent systems are rapidly becoming critical infrastructure," said Markus Pflitsch, CEO, Founder and Chairman of Terra Quantum. "The vehicles, robots, and industrial systems being deployed today will still be operating when quantum computers begin challenging today's cryptographic standards. Organizations cannot afford to wait until that moment arrives. This implementation demonstrates that NIST-standardized post-quantum cryptography is ready to protect cloud-connected systems today, providing a practical path toward quantum resilience without disrupting existing software architectures." Dr. Florian Neukart, Chief Technology Officer at Terra Quantum, added: "The transition to post-quantum cryptography must be practical, standards-based, and interoperable with the software systems organizations already operate. Our collaboration with Apex.AI demonstrates that NIST-standardized post-quantum cryptography can be integrated into modern robotics and software-defined vehicle environments without changing application logic or communication architectures. By preserving existing development workflows while strengthening cryptographic resilience, we enable organizations to begin their migration to quantum-safe security today." Dr. Jan Becker, CEO at Apex.AI, said: "Software-defined vehicles, intelligent machines, and connected defense systems increasingly rely on trusted communication with cloud infrastructure throughout their operational lifetime. Our collaboration with Terra Quantum demonstrates that standardized post-quantum cryptography can be integrated into modern robotics software environments while preserving the flexibility, scalability, and communication models developers rely on to build next-generation intelligent systems. For organizations developing platforms that may remain in operation for years or decades, preparing for post-quantum security is becoming an important lifecycle consideration that should be addressed early in the architecture and product planning process." Unlike approaches that require redesigning applications or communication frameworks, the demonstrated implementation enables organizations to begin adopting standardized post-quantum security using technologies available today. By preserving established software architectures while replacing vulnerable cryptographic building blocks, organizations can prepare long-lived connected systems for the post-quantum era with minimal operational disruption. The implementation is particularly relevant for industries operating mission-critical connected assets, including robotics, autonomous mobility, industrial automation, manufacturing, logistics, aerospace, defense, and critical infrastructure, where devices deployed today must remain secure throughout operational lifecycles that often extend well beyond the arrival of cryptographically relevant quantum computers. Beyond securing individual platforms, the joint solution enables quantum-safe protection of interconnected Systems-of-Systems operating across cloud, edge, autonomous, and mission networks. In line with NATO's Multi-Domain Operations approach, resilient and interoperable communication infrastructures are essential to orchestrate effects across land, air, maritime, cyber, and space domains. The demonstrated architecture provides a scalable foundation for secure information exchange and mission assurance across complex, software-defined operational ecosystems. As governments and industry accelerate the adoption of NIST's post-quantum cryptographic standards, the collaboration demonstrates that organizations can begin their migration to quantum-safe communication today using standardized technologies without redesigning existing software-defined systems. About Terra Quantum Terra Quantum Group is a leading quantum technology company based in Germany and Switzerland. It provides "Quantum as a Service (QaaS)" in three core areas, the first one being "Quantum Algorithms as a Service". Here, customers are provided access to an extensive library of algorithms, such as hybrid quantum optimization and hybrid quantum neural networks, which can be used for solving complex logistics problems or pattern recognition, among other things. Terra Quantum also develops new quantum algorithms for its customers or adapts existing algorithms to their specific needs. Secondly, through "Quantum Computing as a Service", Terra Quantum offers its customers access to its proprietary high-performance simulated quantum processing units (QPU), the quantum ecosystem's physical QPUs, while also developing native QPUs. The third division is "Quantum Security as a Service," through which Terra Quantum offers its unique solutions for secure quantum and post quantum communications worldwide. Visit Siam News Network Limited on LinkedIn and its webpage. About Apex.AI Apex.AI is an international software company specializing in the development of safety-certified, developer-friendly, and scalable software for mobility systems, aiming to accelerate the transition to software-defined vehicles and mobility. Founded in 2017 by Jan Becker and Dejan Pangercic, the company is based in Palo Alto, California, with offices in Munich, Stuttgart, Tokyo, and Pangyo. To date, Apex.AI has raised over $75 million USD from world-class venture, financial and strategic investors including AGCO, Airbus Ventures, Canaan, Continental AG, Daimler Truck, HELLA Ventures, Jaguar Land Rover's InMotion Ventures, LG Electronics, Lightspeed, Orillion, Toyota Ventures, Volvo Group Venture Capital and ZF. The company's flagship product, Apex.OS, consists of two core components: Apex.Grace and Apex.Ida. Visit Siam News Network Limited on LinkedIn and its webpage. The information provided in this article was created by Cision PR Newswire, its news partner. The author's opinions and the content shared on this page are their own and may not necessarily represent the perspectives of Siam News Network. Jul 24, 2026 Reading Time 5 min. Latest PR news. Jul 24, 2026

IDL importers - speaking every language your system needs. In high-performance software environments like automotive, robotics, and industrial automation, it's common to encounter a wide mix of technologies, and just as many ways to describe data. Whether it's a legacy CAN system, a DDS-based robotics stack, or an AUTOSAR Adaptive ECU, every platform speaks its own "interface language." To bridge these diverse systems, Apex.Ida introduces a powerful IDL Importer Framework - allowing you to work with the standards and tools your projects already use, while benefiting from Apex.Ida's unified communication model. This is the third installment in its Apex.Ida feature series. In this post, Apex.AI explore how Apex.Ida helps you manage and integrate a wide range of Interface Definition Languages (IDLs) through a clean, extensible architecture. The Challenge of Interface Diversity Different domains - and sometimes even different teams - rely on different IDLs to define message structures, services, and communication APIs. From OMG IDL in DDS systems, to ROS IDL, AUTOSAR ARXML, Franca IDL, and CAN DBC, each format reflects its domain's unique history and priorities. And in modern system development, you rarely work with just one. Integrating legacy software, coordinating across suppliers, or moving from prototype to production often means juggling multiple IDLs simultaneously. A Unified Type Model The Apex.Ida IDL Importer Framework solves this by translating diverse interface definitions into a unified internal type model. This internal model acts as a bridge between frontends (which parse the original IDL files) and backends (which generate serialization and gateway code for specific network protocols). This frontend-backend separation means developers can: * Reuse existing IDL files without rewriting them * Target different transports (e.g., DDS, SOME/IP, CAN) from the same source definition * Stay aligned with upstream ecosystems like AUTOSAR, ROS 2, and DDS Let's take a closer look at the supported formats. Supported IDLs in Apex.Ida The Object Management Group's IDL has long served as the foundation for DDS and CORBA-based systems. It's also used in ROS 2 and is the default interface definition language for Apex.Grace nodes. By using OMG IDL, developers can define an entire Apex.Ida system's communication structure in a format that is both future-proof and widely supported. It is especially well-suited for seamless integration with the DDS-RTPS Connector. While built on a subset of OMG IDL, ROS 2 IDL adds domain-specific conventions, including .msg and .srv files for topics and services. Apex.Ida supports this subset out of the box and extends it to accommodate advanced integration use cases - such as bridging to AUTOSAR-based systems or enhancing compatibility with SOME/IP stacks. This flexibility allows Apex.Grace developers to maintain ROS 2 compatibility while preparing for production-scale deployments in automotive and industrial contexts. AUTOSAR's ARXML format is a central pillar of automotive software architecture. While it can describe full systems, Apex.Ida focuses on extracting: * Signal and service definitions for CAN and SOME/IP * Gateway configuration parameters for protocol bridging This support enables direct integration with AUTOSAR ECUs, turning ARXML files into actionable interface definitions within Apex.Grace and Apex.Ida. Franca IDL Widely used in early-stage SOME/IP development, Franca IDL offers a clean, AUTOSAR-independent way to define communication interfaces. Apex.Ida supports both .fidl files (methods, events, fields) and .fdepl deployment files for gateway configuration. This makes it easier to start system integration even before full AUTOSAR models are available, bridging the gap from prototype to production. DBC files are simple, lightweight, and widely adopted. They are a practical way to define CAN messages and signals in early-stage or non-AUTOSAR environments. Apex.Ida includes a dedicated DBC importer that parses these files and generates the deserialization logic required by the CAN Connector backend. Whether you're working with raw CAN frames or signal-level messaging, DBC support helps you move forward in your development process. Built for Integration at Scale By embracing the diversity of interface formats used across real-world projects, Apex.Ida's IDL Importer Framework enables: * Rapid onboarding of legacy systems * Cross-supplier collaboration with minimal friction * Protocol flexibility without duplication of effort * Seamless integration into domain-specific ecosystems This approach empowers teams to use the best tool for each phase of development - without sacrificing the consistency and performance benefits of the Apex.Ida middleware stack. One Middleware, Many Languages From signal-level CAN messages to DDS topics and cloud service calls, Apex.Ida brings it all together. With the IDL Importer Framework, your team can work with familiar formats, simplify integration across domains, and accelerate development without compromise. If you're juggling multiple IDLs in your architecture - or planning a system integration effort - Apex.Ida can streamline the process. Contact its team to learn more or request a tailored demo.

Spyrosoft & Apex.AI: a partnership for production-ready autonomous systems. Developing autonomous technologies, software-defined vehicle architectures and safety-critical systems requires far more than typical software engineering expertise alone. As systems become more complex and interconnected, success hinges on mature system architecture, the seamless integration of advanced middleware, strict adherence to functional safety standards and efficient scaling of solutions from prototype to mass production. The middleware platforms facilitate secure communication, efficient data processing and the integration of complex algorithms, all the while ensuring reliability, real-time performance and compliance with stringent industry regulations. In this context, the partnership between Spyrosoft and Apex.AI is particularly important. It combines automotive-grade middleware technologies with in-depth knowledge of integrating complex embedded and automotive systems. By combining complementary competencies in embedded software engineering, autonomous system architecture, functional safety and cybersecurity, the collaboration enables organisations to accelerate the development of next-generation intelligent platforms. Spyrosoft's role as an Apex.AI technology integrator. Its teams support clients throughout the product development process. Spyrosoft Ltd offer advanced expertise in ROS and its production-grade implementations. Spyrosoft Ltd provide support for integrating with embedded platforms, including POSIX, QNX, Integrity, and Linux RT. Its services include designing middleware and system communication architecture. Additionally, Spyrosoft Ltd implement functional safety (FuSa), cybersecurity requirements, and industrialise solutions from proof of concept to production deployment. In its areas of competence are: * System-level platform integration Porting and integrating Apex.Grace and Apex.Ida on selected SoC platforms, ensuring compatibility with RTOS and POSIX environments. This also includes optimizing platform performance on target hardware to guarantee reliable and efficient operation. * Software architecture design Designing robust middleware architectures for autonomous systems, integrating perception, planning, and control components. This also covers the design of system communication and data flows to ensure scalability, efficiency, and reliability. * Application function implementation Developing application-layer software for Apex.Grace and Apex.Ida, implementing autonomous functions and system logic. Integration with sensors, ECUs, and cloud systems is included to deliver full product functionality across all components. * Compliance with safety & quality requirements Ensuring adherence to FuSa and Cybersecurity standards, implementing mechanisms that meet safety and security requirements. Preparing systems for production deployment ensures stability, reliability, and compliance in real-world environments. See its engineering services for the automotive industry Industries accelerating autonomy. Its partnership supports the development of autonomous systems across multiple technology-driven industries. Automotive. The automotive industry is undergoing a major transformation, driven by the emergence of SDVs, advanced driver assistance systems, and fully autonomous driving technologies. These innovations require highly reliable middleware platforms that can support real-time data processing, deterministic communication and the seamless integration of complex software solutions. At the same time, automotive systems must comply with strict functional safety standards and industry regulations. AgriTech. The agricultural sector is rapidly adopting autonomous technologies to enhance productivity, precision and sustainability. Autonomous agricultural machines, field robots and intelligent crop monitoring systems all rely on advanced perception systems, robust communication frameworks and efficient data processing capabilities. To operate reliably in dynamic outdoor environments, these solutions must integrate sensors, navigation systems, and AI-driven decision-making. Scalable middleware platforms facilitate the coordination of these components, enabling manufacturers to develop autonomous agricultural equipment capable of performing complex tasks such as precision farming, crop analysis, and autonomous field operations. Defence. Current defence systems are becoming increasingly dependent on autonomous and unmanned platforms, including aerial, ground and maritime vehicles. These systems operate in complex and unpredictable environments, so reliability, resilience and security are paramount. Mission-critical software must support real-time decision-making and secure communication, as well as integration with a wide range of sensors and control systems. Automotive-grade middleware and safety-focused system architectures provide a robust technological foundation for developing autonomous defence platforms that can operate in challenging conditions while maintaining high safety and cybersecurity standards. Certified expertise powering autonomous innovation. At Spyrosoft, Spyrosoft Ltd combine in-depth domain knowledge with recognised industry accreditations to support the development of safety-critical and autonomous systems in the automotive and defense sectors. Its complete set of defence certifications and licenses, including AQAP 2110, AQAP 2310, AQAP 2210, WSK, and the Ministry of Interior License (MSWiA), enable Spyrosoft Ltd to operate in highly regulated, high-assurance environments. Its teams adhere to key automotive standards such as ISO 21434, ISO 26262 and ASPICE, as well as other domain-specific regulatory frameworks. This ensures that all of its solutions meet the highest levels of safety, quality, and reliability. In the automotive sector, its engineers have extensive experience developing and integrating software for advanced driver assistance systems (ADAS) and autonomous driving. Their expertise in middleware, embedded systems, and validation processes enables Spyrosoft Ltd to contribute effectively throughout the entire software development lifecycle. In defense, Spyrosoft Ltd apply rigorous engineering practices aligned with mission-critical standards, focusing on system robustness, cybersecurity, and real-time performance. These practices allow Spyrosoft Ltd to design and deliver reliable software for complex, high-assurance environments where failure is not an option. By combining certified processes with practical engineering excellence, Spyrosoft Ltd help its partners to accelerate innovation while maintaining full compliance with industry and safety requirements. Apex.AI in practical deployments. As vehicles and autonomous machines become more software-defined, an increasing number of system functions, including perception, decision-making, control, and communication, are being managed by software. This change creates new demands for system architecture, requiring scalable middleware platforms that can enable deterministic communication between system components, real-time data processing, secure data exchange, the integration of complex perception and control algorithms, and reliable operation in safety-critical environments. Apex.AI offers production-grade frameworks based on ROS technologies that are specifically designed for industrial applications and systems requiring high reliability, real-time performance, and compliance with strict functional safety standards. Unlike traditional robotics frameworks, which are often used primarily for research and prototyping, its technologies are engineered to support deployment in production environments. As part of the partnership, Spyrosoft is supporting the integration and implementation of key Apex.AI products: * Apex.Grace - A software development kit that enables the creation of reliable, real-time applications for autonomous systems and software-defined vehicles. Combining robotics flexibility with production-grade performance and safety, it supports deterministic data processing and scalable architectures for both embedded and high-performance systems. It also facilitates a production-ready ROS 2 implementation that is compliant with safety-critical environments. * Apex.Ida - A platform that supports the reliable and scalable exchange of data across vehicle systems, infrastructure and cloud environments in autonomous architectures. It facilitates the integration of systems, supports multiple communication protocols and takes a data-centric approach to processing large volumes of data across heterogeneous environments. * Apex.Alan - An integrated system that supports the secure management of the software lifecycle for autonomous and software-defined systems, from deployment to long-term maintenance. It effectively manages software components and configurations, ensuring secure updates and compliance with safety and security standards. Ready to leverage Apex.AI technology in your autonomous system? Its team serves as a strategic integration partner, supporting clients in the practical application of Apex.AI technologies for autonomous systems. Spyrosoft Ltd integrate the platform with target hardware and system environments, as well as application functions for clients' products. By combining Apex.AI technology with Spyrosoft's expertise, organisations are able to accelerate their journey from concept to finished solution. The platform provides a stable technological foundation, and its teams ensure its effective deployment in industrial projects. Get in touch with its experts to design your system architecture, integrate Apex.AI platforms, and deploy complete, next-generation autonomous solutions. Take advantage of ready-made middleware components and specialised integration expert support. Contact Spyrosoft Ltd Let's get in touch to check how Spyrosoft Ltd could support your project. Pawel Grygiel Director of Automotive