
Good morning {{first_name}},
It was a day defined by calls to action—yet it felt like action was actually being taken. The first Summit on European Digital Sovereignty in Berlin gathered Europe’s AI leaders, policymakers, and corporations to strategise on regaining technological independence from Big Tech. We highlight five key takeaways from the summit.
There is one domain, however, where Europe is already accelerating: robotics. As a continent shaped by SMEs, industrial champions and deep engineering cultures, Europe has long been a manufacturing powerhouse. We profile Europe’s Top 5 AI-Driven Industrial Robotics Startups to watch.
Also this week in Deep Tech Now:
Gregor Gimmy, the inventor of the Venture Client model, shares how Venture Clienting helps corporates adopt startup solutions at scale while staying focused on real business problems.
Five new corporate-startup partnerships designed to fast-track the continent’s AI capabilities.
Plus, another opportunity to add to your library. We are giving away three copies of Gregor Gimmy’s Buy, don’t invest: The Venture Client Model. Good luck!
5 QUESTIONS TO...
Gregor Gimmy — Founder of 27pilots — Inventor of the Venture Client Model

You are the father of the term Venture Clienting. What is Venture Clienting in one sentence—especially for those who think it is just another innovation buzzword?
Venture Clienting means using a startup technology in a product or process. The term is new—I introduced it in 2014—but the activity existed long before. What was truly new was designing the first distinct Venture Client model and implementing it at BMW to make the process structured and scalable.
A “Venture Client” is any individual or organisational unit—say an engineer in R&D—that adopts a startup solution to solve a real business problem.
The "Venture Client Unit" is the organisational function that makes this adoption effective and repeatable across the company.
What concrete business outcome should a corporate expect within the first 90 days?
If set up correctly, real impact shows up fast. Within 90 days, a strong Venture Client model delivers:
A clear, shared understanding—top-down and bottom-up—of why startups matter for competitiveness.
50–100 key stakeholders trained and proficient in the core processes.
A portfolio of 25–50 strategically relevant problems identified—each with at least €1M potential impact—that startups can solve better than internal teams or traditional suppliers.
2–5 purchase orders issued to startups to initiate real adoption projects.
In short: the organisation moves from theory to real startup adoption, real money, and real business value.
Venture Clienting fails without internal buyers. How do you turn a risk-averse business unit into an active “client”?
Three things matter most: a truly painful problem, a high-quality startup solution, and low validation cost. If the problem is critical and the startup has a uniquely strong solution, risk aversion vanishes—“not invented here” only appears when the value isn’t obvious. And if you keep validation cheap and real—via a small, practical use case instead of a million-euro equity bet—business units naturally become active Venture Clients.
What life experience most shaped your philosophy on reducing corporate innovation risk?
Two experiences shaped my philosophy.
First, my years in Silicon Valley—especially at IDEO—where I learned how essential it is to uncover real needs and create unique solutions.
Second, founding, funding, and selling my own biotech software venture. As a founder, you learn quickly: the only thing that matters is the client.
When I later arrived at BMW, I viewed the company’s adoption challenges through the lens of a founder and a VC. That’s why accelerators and strategic CVC made no sense to me.
You are currently thinking about building VentureClient.org. Tell us more.
Products, services and practices thrive (suffer) when an ecosystem succeeds (fails) to share standards, best practices, and a common understanding—just as the car became transformative once roads, rules, and conventions existed.
The mission of VentureClient.org is to advance Venture Clienting worldwide through the creation of standards, knowledge, and a Venture Clienting ecosystem. Such an ecosystem aims to facilitate cooperation and collaboration among key stakeholders – companies, investors, and startups – so that Venture Clienting delivers stronger competitive impact for all.
➔ Keep an eye on Gregor Gimmy for news about what’s next at VentureClient.org.
DEEP TECH OPEN | ROBOTICS
Europe’s Top 5 AI-Driven Industrial Robotics Startups | Series A (€8-45m)

Unchained Robotics | Paderborn, Germany
Technology: LUNA OS automation platform + modular robot cells allowing rapid deployment of multi-vendor robots with low-code configuration.
Customers: 300+ customers, amongst them Albéa Group and Vorwerk.
Use cases: Palletising, packaging, machine tending, logistics automation.
Funding: €8.5m Series A + extension (2025), backed by Future Industry Ventures, Teklas Ventures & others.
Why it matters: Democratises automation and closes Europe’s SME automation gap — critical for productivity, competitiveness and reshoring.
➔ They call their product the “MalocherBot” (“malochen”: German slang for working real hard)
Inbolt | Paris, France
Technology: AI-powered 3D vision and real-time robot guidance (“GuideNOW”) enabling robots to adapt to variation, unstructured environments, high-mix production.
Customers: Ford, Whirlpool, Thyssenkrupp Automotive, Atlas Copco.
Use cases: Precision assembly, fastening, contour-following, inspection, flexible automation in automotive and general manufacturing.
Funding: €15m Series A (2024), led by Exor Ventures, with MIG Capital, SOSV, BNP Paribas.
Why it matters: Industrial robots become adaptable rather than rigid — unlocking automation for high-mix European factories and strengthening Europe’s autonomy in advanced manufacturing.
➔ Their AI-3D vision system already powered over 20 million robot cycles in the first half of 2025.
sewts | Munich, Germany
Technology: Robotics + AI for handling deformable materials (textiles) using physics-based simulation and advanced perception.
Customers: Large industrial laundries and textile-processing partners in Europe.
Use cases: Automated feeding, gripping, sorting and processing of textiles.
Funding: €7m Series A (2023), backed by Bayern Kapital, APEX Ventures, High-Tech Gründerfonds.
Why it matters: Solves one of the hardest industrial problems: Automation of previously human-only tasks like manipulating soft materials — unlocking efficiency in textiles, apparel, laundry, e-commerce returns.
Sereact | Stuttgart, Germany
Funding: €25m Series A (January 2025) led by Creandum, with participation from Point Nine, Air Street Capital.
Why it matters: Hardware automation secures European manufacturing and logistics sovereignty. Sereact uses hardware and AI to flexibly automate, cut legacy robot use, and strengthen Europe’s robotics edge.
➔ Their technology achieves more than 98% pick-accuracy on any robot from “day one”
Flexion | Zurich, Switzerland
Technology: Reinforcement-learning platform (“robotic brain”) for humanoid & human-capable robots — software layer to enable robots to work alongside humans rather than replace them.
Use cases: Humanoid robots aiding manufacturing, logistics, automation tasks that require human-level agility or adaptability.
Funding: €43m (~$50m) Series A (Nov 2025) led by DST Global Partners, with NVentures (NVIDIA VC), Redalpine, Prosus Ventures, Moonfire.
Why it matters: Robotics is shifting from rigid industrial arms to adaptable humanoid systems — strengthening Europe’s ability to lead next-gen robotics rather than just follow.
THE PULSE
Top 5 Takeaways from the First Summit on European Digital Sovereignty

They opened the EU summit (from left): French Minister of Economy Roland Lescure, German Federal Minister for Digital Affairs Karsten Wildberger, and EU Vice President Henna Virkkunen. | © BMDS/Woithe
At last week’s First Summit on European Digital Sovereignty in Berlin, European leaders — including France’s President Emmanuel Macron and German Chancellor Friedrich Merz — gathered alongside AI ministers, founders and industry representatives to discuss: How can Europe gain more technological independence and reduce reliance on non-European Big-Tech?
Across a full day of talks, five themes surfaced consistently:
1. Time is critical.
Political leaders emphasised the urgency of action. As Germany’s Federal Minister for Digital Affairs Karsten Wildberger put it: “Speed and scale will determine who will lead and who will follow.”
2. Europe must start building, not just buying.
Europe has spent too long as an observer and consumer rather than a creator. Speakers stressed the need for Europe to develop its own software, digital infrastructure, and technological solutions.
3. Stronger European integration is essential.
To unlock the continent’s full potential — a market of 450 million people and a public procurement volume of €200–250 billion — decisions and investments must be made at the European level.
4. Buy European.
Several speakers, especially from France, called for prioritising European digital solutions over those from outside the continent to strengthen the internal market.
5. Smart regulation over overregulation.
While regulation remains important, leaders warned against stifling innovation. Emmanuel Macron: “If Europe continues regulating at the current intensity, it risks ending up with no tech companies left to regulate.”
THE PULSE
The €1bn Deal Sheet: 5 New Joint Ventures

At the Digital Sovereignty Summit in Berlin, EU leaders announced 18 new partnerships totaling over €1 billion in planned investments. The aim: accelerate Europe’s AI capabilities and reduce reliance on non-European tech. Here are five particularly exciting ones:
Technology: AI-powered customer interaction platform.
Goal: Deliver hyper-personalized, scalable customer experiences across Allianz’s insurance lines.
Technology: Tech–consulting partnership operating in the Nordics and UK.
Goal: Drive industry transformation through European innovation.
Technology: AI-guided interceptor drones with integrated Thales radar.
Goal: Strengthen Europe’s defence capabilities; deployment planned for 2026.
➔ Space Cargo Unlimited (FR/LUX) x Delta Vision (FR/GER) x Atmos (FR/GER)
Technology: Joint space-tech alliance combining spacecraft, payload, and in-orbit fluidics.
Goal: Build Europe’s first in-space manufacturing layer; seven missions from 2026–2028.
Technology: Franco-German joint search infrastructure.
Goal: Create the first sovereign European web index for independent search and trustworthy AI.
ECOSYSTEM GIFT
Giveaway: The Venture Client Playbook

In an ecosystem fixated on raising capital, Gregor Gimmy underscores a simple truth: meaningful innovation stems not from pitching investors, but from solving real problems for customers.
In his book Buy, don’t invest: The Venture Client Model, he challenges a long-held corporate belief: that taking an equity stake is the optimal way to harness startup innovation.
Gregor argues that true strategic value derives from being a user, not a minority shareholder, of startup tech.
Enter the Venture Client Model. This book is for you if you want to:
Understand how enterprises can access frontier innovation without the complexity of expensive equity deals.
Learn directly from the source: Gimmy pioneered this model at the BMW Startup Garage and scaled it globally.
Equip innovation teams, executives, and founders with the tactics to forge meaningful, high-impact collaborations.
→ We’re giving away three copies of the book. Just reply to this email with ‘VENTURE CLIENT’; first come, first served – good luck!
Last Week’s Winner: Congratulations to Sophia Belser, Ling Ling, and Hannes Awe-Ortmeier! We’ll be in touch soon to send you your copies of the book The Builder’s Guide to the Tech Galaxy.
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