
Good morning {{first_name}},
Consider this week’s most notable story: OpenAI hired Peter Steinberger, the Austrian creator of the open-source AI agent OpenClaw, to lead its next generation of personal and autonomous agents.
OpenClaw grew from a GitHub hobby into a global viral AI agent that does things, not just says things. It can read files, run code, or send messages on your behalf. It functions more like a digital employee or a junior technical teammate than a passive chatbot.
But this is where the cybersecurity community squints. Autonomous agents needing broad system access can open broad attack surfaces. Misconfigurations giving agents power can be brutally exploited. Thinking ahead: Autonomous systems—in defence, automation or productivity—are simultaneously engines of capability and vectors for compromise.
No question: Cybersecurity was an important topic of discussion at the Munich Security Conference last weekend.
At the same time, at the SPARTA Defence Innovation Summit, debate gave way to dealmaking. In a single afternoon, 2,000 meetings set in motion more than 200 pilots, commercial collaborations, procurement pathways, and investments. Read the summary of SPARTA’s impact below.
Also in this week’s issue:
Europe’s Top five agentic AI startups — specifically those serving industrial and regulated sectors.
Five key takeaways from BCG’s new report “Wachstumspfade für Deutschland” — outlining how Germany can turn research strength into sovereign industrial scale.
And to start with, Martin writes about why fragmented demand stalls European defence, and how a 1915 lesson in insurgent procurement could overcome modern bureaucratic inertia.
Enjoy the read.
THE LEAP | BY MARTIN SCHILLING
Without Demand Signals, Defence Innovation Loses Its Way

The British Mark I was the world’s first combat tank, designed to break the stalemate of trench warfare. Its name was a ruse to disguise the secret weapons as "mobile water tanks."
Dear all,
In the muddy autumn of 1915, the Western Front in World War I had become a killing field frozen in place. British and German soldiers faced each other from trenches less than one hundred meters apart, separated by ground that devoured lives by the hundreds each day. Machine-gun fire shredded infantry within seconds, artillery turned fields into swamps, and grenades and screams filled the air.
Amid this carnage, Major Ernest Dunlop Swinton, a relatively junior British Army officer, noticed something others overlooked: tracked agricultural tractors hauling heavy artillery across mud and shell-torn ground that men could not cross alive. What if such machines were armoured, armed, and sent forward with the infantry?
The British General Staff dismissed Swinton’s idea outright. Mechanical solutions in war were considered unreliable, impractical—“unsoldierly.” Blocked by the Army, Swinton found an ally in Winston Churchill, later Prime Minister of the UK, then First Lord of the Admiralty, who grasped the potential immediately. Churchill bypassed the Army entirely, launching a secret development effort within the Navy to build what were disguised as “water tanks.” When the first crude tanks finally crossed no man’s land in 1916, they proved the stalemate was not inevitable. An innovation, pushed by a junior officer and enabled by political leadership, had changed warfare forever.
One of the UK's highest-ranking generals told me this story last week at the Munich Security Conference, during a roundtable at our SPARTA side event. Together with the former British Minister of Defence, Ben Wallace, and several generals from different NATO nations, we identified one key issue for European defence: demand signals for defence and dual-use innovation are fragmented and noisy.
In the United States, defence innovators face one dominant demand signal: the Pentagon. In Europe, between nations, ministries of defence, armed forces, and procurement agencies, signals are often unclear, contradictory, or arrive far too late. Innovators are left guessing what is actually needed—until procurement begins, when it is already too late to shape outcomes.
One idea to change this emerged in our roundtable: bring Europe’s “Ernest Dunlop Swintons”—colonel-level officers who actually do operational planning—into the same room with Europe’s leading defence innovators. Let them shape demand together, long before formal procurement processes begin. We will do this at DTM.Defence in May as part of our annual Deep Tech Momentum Summit.
Five priority fields for European defence innovation stood out for us:
Cheap precision strike. Europe must be able to counter attacks in the most cost-effective way possible.
Underwater defence. A digital ocean—water-based sensing and surveillance—is essential to protect undersea infrastructure such as data cables.
Drone and aerial defence. We cannot accept a world where €30,000 drones destroy €3 million systems.
A European “Starlink.” What would it take to build a space-based situational awareness stack that truly shortens the sensor-to-shooter loop?
Production ramp-up. How can civilian manufacturing capabilities in Europe be leveraged rapidly to achieve credible deterrence?
Sensor-to-shooter loops. Kill chains. Lethality. Just a few years ago, it would have been unthinkable for me to put these words into writing in a newsletter column—let alone actively support defence primes, innovators, and armed forces building more effective drones or technologies for battlefield awareness.
Yet almost exactly four years ago, at dawn, the first Russian tanks crossed into Ukraine. During the time it took to write this column, roughly 50 people on both sides will likely have died in that war. I do not want my two young sons to be among them in a few years because we in Europe lacked the courage to stand up to Vladimir Putin and his system. We must be able to fight a war against them, so that we do not have to.
With deep respect and gratitude to our Ukrainian friends, who sacrifice every day for Europe’s freedom and security,
Martin
DEEP TECH OPEN | AI
Europe’s Top 5 Agentic AI Startups for Industrial & Regulated Operations | Seed to Series A ($4-30m)

Mercanis | Berlin, Germany
Technology: Agentic-AI procurement platform that embeds autonomous agents across strategic sourcing, supplier management, contracts, spend analytics, and risk monitoring — so AI executes procurement cycles end-to-end rather than just augmenting them.
Customers: Deployed by enterprise buyers, including BASF-Coatings, GASAG, Goldbeck, Wilson, and Brose across manufacturing, utilities, and industrial services.
Use cases: Autonomous spend analytics and savings discovery; RFx orchestration; intelligent supplier discovery and comparison; contract lifecycle automation; real-time risk detection and mitigation.
Funding: Series A (~€17.3 M / ~$20 M, June 2025) led by Partech and AVP with participation from Signals.VC, Capmont Technology, and Speedinvest.
➔ Mercanis’s autonomous agents can reduce sourcing cycle times from weeks to days in real enterprise scenarios.
Magentic | London, UK
Technology: Agentic AI platform for industrial and engineering workflows — orchestrating planning, documentation, and compliance across complex hardware and infrastructure projects.
Customers: Early deployments with industrial engineering teams and infrastructure operators (public references limited at the current stage).
Use cases: Technical documentation automation; engineering workflow orchestration; regulatory compliance tracking; structured reasoning across CAD, ERP, and project systems.
Funding: €4,6M seed-round in June 2025 by Sequoia Capital, First Momentum, and Westly Group.
➔ Industrial projects fail more often from a breakdown in coordination than from a shortage of good ideas. Magentic treats AI agents not as simple copilots, but as execution layers for hardware-intensive industries.
orq.ai | Amsterdam, Netherlands
Technology: Enterprise-grade LLMOps and agent orchestration platform enabling companies to design, test, deploy, and govern AI agents in production environments.
Customers: Regulated enterprises in finance, healthcare, and industrial sectors seeking structured, auditable agent deployment.
Use cases: Agent lifecycle management; evaluation and observability; governance controls; safe orchestration of autonomous workflows across enterprise systems.
Funding: €5M in seed funding, led by seed + speed Ventures and Galion exe, Curiosity VC, Spacetime, XO Ventures, xdeck ventures, Waves Capital, and GoldenEggCheck. Total funding is €7.3 million since the company’s founding in 2022.
Maisa | Valencia, Spain
Technology: Agentic AI platform purpose-built for highly regulated industries — enabling domain-specific agents that operate within strict governance and data control frameworks.
Customers: Early traction in finance and public-sector contexts (enterprise pilots underway).
Use cases: Regulated workflow automation; compliance-aware document reasoning; AI agents embedded into secure enterprise stacks.
Funding: €21.4 million Seed investment led by Creandum, with participation from Forgepoint Capital, Banco Santander, NFX and Village Global.
➔ Its AI agents, called “Digital Workers,” execute complex workflows with full traceability and auditability, making them resistant to the hallucination problems common in generative AI.
Gradient Labs | London, United Kingdom
Technology: Agentic AI platform built from inception to automate regulated-industry workflows (fraud detection, compliance triage, operations orchestration) with reasoning and action across internal systems.
Customers: Early adoption of regulated enterprises in finance, insurtech and professional services (specific customer logos not publicly disclosed yet).
Use cases: AI agents that autonomously monitor and remediate compliance flags, surface actionable alerts from multifactor data, and orchestrate multi-step resolutions across legacy tools.
Funding: Series A (€11.08 M) in 2025 led by Redpoint Ventures with participation from LocalGlobe, Puzzle Ventures, Liquid 2 and Exceptional Capital — reached ARR milestones quickly post-launch.
➔ Founded in 2023 by three former Monzo bank employees and reached €1M in annual recurring revenue within its first four months of launching.
THE PULSE
A Map for the German Tech 'Mittelstand' of Tomorrow

Germany excels in academic research but often falters when bringing those ideas to market. So they say. Let’s change that.
Boston Consulting Group (BCG), together with UnternehmerTUM, wrote a strategic report to put Germany’s High-Tech Agenda into practice. “Wachstumspfade für Deutschland” maps out priority tech bets, market sizes, and the policy mechanisms needed to get from our labs to scale.
Here are the five most important takeaways:
Germany is making concentrated technology bets, not incremental ones.
The report narrows national focus to six pillars: AI, quantum, microelectronics, biotech, fusion & climate-neutral energy, and climate-neutral mobility. Adjacent fields such as robotics, photonics, advanced manufacturing, new materials, New Space and defence tech are positioned as force multipliers.
➔ Implication: Germany intends to compete where sovereignty, industrial capability, and global platform markets intersect.
The bottleneck is scale — not science.
Germany’s structural weakness is not research excellence but industrial translation. The proposed answer is a demand-driven innovation system: coordinated clusters, shared testbeds, interoperable data spaces, and, most critically, anchor customers with long-term offtake agreements.
➔ To do: Programs should operate like venture portfolios, with Stop/Scale/Pivot decisions and hard 3–5 year sunset clauses. Capital follows predictable demand.
AI is a €660B opportunity, but infrastructure sovereignty decides who captures it.
By 2030, the addressable AI market for German companies will exceed €660B. The entry point is industrial and physical AI (“world models”) built on secure compute and industrial data. Operational excellence hubs are targeted for 2026, aligned with the European Frontier AI Initiative.
➔ Implication: Industrial AI with proprietary data access and compute strategy will outperform generic model plays. Infrastructure is becoming an industrial policy asset.
Quantum and semiconductors are platform races with asymmetric upside.
Quantum technologies offer ~€9B addressable by 2030, while quantum computing could unlock $450–850B globally by 2040. Semiconductors are projected to reach ~€1.9T globally by 2030, with ~€193B addressable for Germany — particularly in power electronics, MEMS/DAO, and advanced packaging.
➔ Meaning: Europe is unlikely to win commoditised logic nodes — but it can dominate differentiated, industrial-grade architectures. “Lab-to-Fab” integration will separate scalable champions from research projects.
Energy and mobility markets are vast, but value chains must be localised.
Climate-neutral energy generation (~€560B by 2030) and mobility tech (~€580B) represent strategic industrial resets. In EVs, 25–40% of vehicle value sits in the battery, while ~3 million German jobs depend on automotive. Fusion, industrial heat, autonomous systems and battery localisation are framed as competitiveness imperatives.
➔ Implication: Decarbonisation is now an industrial value-chain play. The winners will be those who control core components, not just system integration.
DTM UPDATE
THIS. WAS. SPARTA.

In one afternoon, SPARTA turned 2,000 meetings into deeds. These discussions set in motion over 200 pilots, commercial deals, and investments. The event proved that assembling the right leaders converts strategy into contracts and handshakes into working models.
Two definitive themes emerged from the summit’s roundtable discussions, featuring leaders like General Christopher Cavoli (Former SACEUR, NATO), Bill LaPlante (Former U.S. Under Secretary of Defense), General Michael Claesson (Chief of Defence, Swedish Armed Forces), Vice Admiral Bob Harward (Executive Vice President, Shield AI), and Mikhail Kokorich (CEO, Destinus).
Defence: Accelerated Capability. Lessons from Ukraine mandate a shift toward weekly software updates, FPV swarms, and faster procurement cycles to match the speed of modern operations.
Space: From Enabler to Foundation. Space has transitioned from a supporting enabler to the foundation of secure communication and navigation; it is now essential for strategic autonomy.
👉 Next Stop: DTM26. Berlin, May 20–21
On May 20–21, DTM26 returns with 3,000+ participants and Europe’s leading defence and space tech marketplace: DTM.Defence. The next opportunity to engage — in person — with Europe’s leading primes, neo-primes, armed forces, high-growth startups, SMEs, and specialist funds in a highly curated setting.
DTM26 is where Europe’s defence and space value chains align.
➔ Secure your ticket: deeptech.build/defence
ECOSYSTEM GIFT
The New Military-Tech Complex

What happens when the “fog of war” is processed by a neural network rather than human intuition?
If your time at SPARTA and the Munich Security Conference—and perhaps Martin’s column—has left you seeking a deeper dive into how early tech bets translate to the battlefield, we have your next read.
In AI, Automation, and War: The Rise of a Military-Tech Complex, Anthony King dismantles the sci-fi myths of “Terminator” robots to reveal a much more complex reality. King explores how militaries have spent the last decade integrating AI—not as a replacement for humans, but as a massive engine for data processing and intelligence. It is the birth of a new, formidable military-tech complex that is redefining modern defence.
The book is a featured recommendation in the Munich Security Conference’s 2026 report, Under Destruction. It is a necessary guide for those tracking the intersection of sovereignty and industry.
➔ To enter the draw, reply “DEFENCE”.
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