Data Machine Intelligence

At last week’s ILA trade fair, Data Machine Intelligence joined the ranks of Germany’s top aerospace and defense companies. As a member of the Military Support Center, our co-founder Max Najork was invited to open the fair alongside Chancellor Olaf Scholz and industry leaders.

Meet our founder Max Najork in Bonn and learn in person how Data Machine Intelligence enables the transition to software and ai defined Aerospace and Defence.

Scaling Up AI Testing: How to Tackle the Challenge of Autonomous Swarms As autonomous systems multiply across modern battlefields, the need to scale AI testing has never been more critical. Traditionally, the industry has focused on developing and testing individual assets. However, the future of defense lies in the deployment of large-scale, coordinated systems, such as drone swarms and integrated autonomous fleets. This shift requires a significant scaling in AI testing capabilities to ensure these complex, interdependent systems operate seamlessly together. A recent demonstration by the Pentagon at Yuma Proving Ground showcased the challenges and the potential of defending against swarms of up to 50 drones attacking simultaneously from various directions and altitudes. This level of complexity highlights why scalable simulation environments are crucial Without the ability to test these systems in thousands of scenarios, developers cannot anticipate and mitigate the risks associated with autonomous swarm behavior. ☝ Key Challenges and Solutions: ➡️ Managing Complexity in Swarm Operations: With hundreds of autonomous systems interacting in real time, traditional testing methods fall short. Scalable simulation tools allow for the simultaneous testing of multiple assets, from small drones to ground vehicles, in various coordinated scenarios. This ensures that AI behaviors are optimized for complex, multi-domain operations. ➡️ Mitigating Risks Early: Early-stage testing in virtual environments can reveal potential vulnerabilities before any physical prototypes are built. For instance, simulating thousands of mission scenarios for a drone swarm can uncover optimal configurations and responses, significantly reducing development cycles and costs. ➡️ Rapid Iteration with Pre-Built Modules: Using pre-built AI modules and standardized interfaces, developers can quickly set up and test different configurations. This approach supports rapid iteration and alignment with existing military standards, enabling faster deployment of reliable, battle-ready systems. At Data Machine Intelligence, we provide advanced simulation environments that facilitate large-scale testing and validation of autonomous systems. Our tools enable defense teams to rigorously test, validate, and optimize AI behaviors for complex scenarios, ensuring that these systems are ready for the battlefield. With a focus on scalability and comprehensive scenario testing, we help bring autonomous capabilities from concept to deployment more efficiently. Curious about how scalable AI testing can elevate your defense projects? Reach out to explore our capabilities in action. See the referenced article here: https://lnkd.in/dm4cmdy2 #AItesting #simulation #xai #safeai

⏱ Faster Feedback, Better Defense: Unlocking New Capabilities with Real-Time AI Testing 📊 In defense operations, every second counts. The ability to validate AI models in real-time is transforming how defense technologies are developed, tested, and deployed. Traditional testing methods are not designed to provide the immediate feedback required for AI-enabled components, leading to costly delays and increased risks in critical development efforts. Real-time AI validation changes the game by allowing developers to test and refine models on-the-fly. This approach not only accelerates the development process but also significantly improves the safety and effectiveness of AI-driven systems. Recent trials conducted by the AUKUS Connect during the US Army’s Project Convergence exercise demonstrated how AI-enabled drones reduced enemy target identification time. This successful demonstration showcased the potential of real-time AI validation to provide immediate feedback, allowing for rapid adaptation and deployment of AI systems on the battlefield. Such capabilities will be essential as defense scenarios become more complex and interconnected. As defense systems evolve, the need for real-time validation will only grow. It allows for a more dynamic and responsive development process, where AI systems can be fine-tuned and optimized without the time-consuming and costly process of traditional testing. At Data Machine Intelligence, we provide advanced simulation environments that enable real-time and faster-than-real-time validation of AI models in various mission scenarios, accelerating system development and reducing the time to deployment. Curious about how real-time AI validation can elevate your defense projects? Reach out to explore our capabilities in action. Read the full article about the AUKUS exercise here: https://lnkd.in/gFvPGkAN #DefenseTech #AIValidation #RealTimeTesting #Aerospace #SafeAI

Digital Twins in Defense: Beyond Systems to Environment Simulation 👬 As defense systems become more complex and interconnected, the role of digital twins has evolved significantly. Traditionally, they were used to create virtual replicas of individual systems, such as vehicles or drones. However, with the increasing scale and complexity of modern autonomous operations, it’s clear that we need more than just a twin of the system itself. We also need a twin of the operational environment, capable of simulating the ever-changing conditions these systems will encounter. This integrated approach—combining system and environmental digital twins—allows defense teams to simulate and test new strategies in a comprehensive virtual setting. It enables early stage validation of modification concepts at low cost, and the continuous monitoring and adaptation of systems during operations, ensuring they remain effective and resilient even in unpredictable and challenging scenarios. For example, the Army’s use of digital engineering in the XM30 vehicle program has demonstrated how these virtual models can reduce development time and costs while enhancing system reliability. Recent advancements in high-powered computing are making these complex simulations more accessible. The Pentagon’s initiative to provide supercomputers on demand through cloud services allows for rapid creation and real-time updates of both system and environmental digital twins. This capability supports faster, more detailed simulations, helping defense teams anticipate and respond to emerging threats with greater agility. By simulating the interactions between the system and its environment, defense organizations can gain a deeper understanding of potential operational challenges. This holistic view enables them to optimize system performance proactively, whether it’s adapting to changing weather conditions, navigating complex terrains, or responding to adversarial actions. At Data Machine Intelligence, our simulation environments integrate both system and environmental digital twins, providing a comprehensive platform for defense teams to test and refine their strategies. This approach ensures that systems are not only ready for deployment but can also adapt dynamically to real-world conditions throughout their operational lifecycle. Curious about how integrated digital twins can transform your defense projects? Reach out to explore our capabilities in action. Read the articles mentioned here: https://lnkd.in/eB7XV8mj https://lnkd.in/gswb-JUh #DigitalTwin #Simulation #Aerospace #AI #SafeAI

Back from the Royal Aeronautical Society’s Flight Simulation Conference, where the UK’s aerospace network showed up strong. It was exciting to see fresh ideas in modeling, simulation, and AI - so much great work moving the field forward. A key message throughout all presentations: modeling and simulation are becoming a new superpower for developing, training, and updating AI functions. Through modeling and simulation, we can train AI functions, immediately integrate and verify them, and then directly exercise them with the operator for training. This approach accelerates the update cycle truly from end to end. In our talk on the second conference day “Evolving Flight Training Environments and AI in the Cockpit,”  Pau and I highlighted how our tools get aerospace systems ready for the AI enabled future and prepare operators to make real-time decisions safely and confidently in collaboration with AI. Thanks to the Royal Aeronautical Society, the inspiring speakers and everyone who joined for a great conference: Andy Fawkes, Robert McGeachy, Torvald Mårtensson, Fabian Reinisch, John Goodby, Wouter Hollenga, Chris Hunter, Allyson Kukel MRAeS and many more Looking forward to where these ideas take us next. #FlightSimulation #AerospaceInnovation #AI #ModelingSimulation #FutureOfFlight #MS #RL #ML #XAI #SafeAI

How does flight training need to evolve in the age of AI to help pilots build trust into the new systems? Our very own Max Najork and Pau Garcia Sanz will be speaking about this next week in London at the Flight Simulation Conference of the Royal Aeronautical Society. Are you attending or generally interested to learn more? Meet our colleagues there or reach out directly.

Last week, our Co-Founder Max Najork spoke at AIRTEC | 22-24 OCT 2025 | MESSE AUGSBURG. In his recap he shares the key insights he presented at the conference.

𝐃𝐨𝐧𝐚𝐮𝐬𝐭𝐚𝐡𝐥 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐒𝐢𝐠𝐧 𝐋𝐎𝐈 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐋𝐨𝐰-𝐂𝐨𝐬𝐭 𝐃𝐫𝐨𝐧𝐞 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐲 We are pleased to announce that Data Machine Intelligence has signed a Letter of Intent (LOI) with Donaustahl GmbH, a leading manufacturer of loitering munition systems. This partnership focuses on integrating DMI’s advanced AI development platform with Donaustahl’s drone systems, enabling scalable, cost-effective autonomy for a wide range of mission-critical applications, including defense, surveillance, and beyond. The collaboration will enhance the infrastructure within DMI Labs, helping develop smart, reliable drones that can operate autonomously and in swarms within complex environments. This innovation will make drone autonomy more accessible, without requiring specialized expertise from operators. 𝐊𝐞𝐲 𝐡𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐩𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩: ⏩ Joint development of AI-driven autonomy systems tailored to Donaustahl’s Loitering Munition Systems (LMS). ⏩ Scalability and reliability: Focusing on cost-effective solutions that perform under challenging conditions, such as poor visibility and harsh weather. Live simulations demonstrating the capabilities of synthetic and real-world integrations. 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞? Read our full press release on our website: https://lnkd.in/dEX6EAEP 𝐌𝐞𝐞𝐭 𝐮𝐬 𝐚𝐭 AIRTEC | 08-10 OCT 2024 | MESSE AUGSBURG We’ll be sharing more at Airtec 2024: Max Najork will be on stage tomorrow, October 8th, at 17:00 in the session “Drones & AI - how system-of-system operations disrupt dual-use aerial operations”. See the program here: https://lnkd.in/eeVEMUGm Visit our session and meet us there to discuss our latest innovations in person. Join us in shaping the future of AI in aerospace. #DMI #Donaustahl #DroneAutonomy #SafeAI #AI #AerospaceInnovation #Airtec2024

🥨 How DMI Accelerates AI Development in Safety- and Mission-Critical Aerospace Systems - Let’s Connect at Bits & Pretzels 🥨 If you’re attending Bits & Pretzels, let’s catch up! I’m looking forward to connecting with innovators who are as passionate about safe and certifiable AI as I am. Reach out to schedule a time or just find me there. #BitsAndPretzels #SafeAI #AerospaceInnovation