The biggest robotics bet isn't only the robot
Why the world we're rebuilding around the robot is one of the most consequential bets in physical AI.
Dave Haynes
June 02, 2026
The biggest physical AI bet isn't only the robot. It's the world we're rebuilding around it. Every space designed for human eyes and human hands is quietly being retuned for machines, and almost nobody is calling that what it is: the most consequential redesign of the built environment in a generation.
In this Viewpoints issue:
Reinventing Reality — physical AI is redesigning the built world, not just adding robots to it
Three companies, three layers — Distance, Makiina and Levtek prove the thesis
Radar — the European deep tech rounds you might have missed in May
The missing middle layer — where we're spending more time
Reinventing Reality
How physical AI is redesigning the built world
For decades, we redesigned the digital world to be machine-legible. Web pages carry schema markup. APIs expose structured data. Phones and laptops were designed around how machines process information, not just how humans use them. That redesign was so thorough it became invisible.
Physical AI flips the same problem into three dimensions. Every street, store, warehouse, field and hospital was originally built around humans: our eyes, our hands, our walking speed, our one second of reaction time. As autonomous systems take over parts of that work, those environments stop being purely human. They become shared spaces, tuned for both people and machines. It is the physical equivalent of adding schema markup to a page.
You can see it everywhere already. Warehouses are shrinking aisles and QR-coding their floors. Retail is splitting into walk-out front-of-house and dark-store back-of-house. Streets are being rebuilt around autonomous vehicles, not the other way around. Hospitals are widening corridors for autonomous carts and reorganising nurse stations around machine-generated signal. The same arc reaches farms, ports, mines and construction sites.
Do we want a world re-engineered for robots, or robots dexterous enough to handle our world as it is?
Almost every physical AI bet sits somewhere on that spectrum. Both ends produce winners. The interesting companies are the ones that know exactly which end they're choosing, and why.
We see three investable layers in this shift:
The machines. Robots, autonomous vehicles, drones, surgical systems, agri robots.
The perception stack. Cameras, LiDAR, radar, tactile sensors, specialised silicon, and the foundation models that fuse them.
The environments. Digital twins, robot-ready infrastructure, V2X, warehouse operating systems. The software and hardware that turn a legacy space into a machine-friendly one.
Our take: You can win at either end of the spectrum. Robots dexterous enough to fit our world, or environments rebuilt to fit the machines. The under-built middle layer is where we're spending more time.
Three companies, three layers
Three of our portfolio companies are already proving the thesis above.
Deviceless mixed reality for vehicles and cockpits
First consumer auto integration unveiled with Kia at Milan Design Week: a panoramic lightfield HUD live in the windshield, no headset, no glasses. The Field Operator HUD is now in NATO and allied field trials.
Why it matters: Distance is proving the perception-stack thesis. Spatial computing reaches scale by upgrading the surfaces we already use (windshields, cockpits, industrial panels), not by selling people new hardware categories.
Modular, low-cost robotic arms that learn from human demonstration
Makiina are building a full-stack, intelligent, modular robotics solution. This stack makes it cheaper and easier to address problems with robotics that simply wouldn’t have made sense before. Whilst still in stealth, the company has been catching the attention of investors who understand the huge potential here.
Why it matters: Makiina compresses the cost curve on manipulation. Cheaper arms multiplied by demonstration-based learning expands the addressable market for robotic work faster than any humanoid roadmap currently in the press.
Robot working companions for physical labour
First production batch of the Levkart is quietly shipping to early, flagship European customers across retail, micromobility and logistics. Three different verticals out of the gate, no facility retrofit required at any of them. Levkart is in-part driven by VLA (vision-language-action) models, so an operator can say "go down the corridor, take a left, stop by the plant" in a space the robot has never seen, and it goes.
Why it matters: Levtek sits at the opposite end of the spectrum from greenfield re-engineering. The robot fits the world as it is. No QR floors, no rebuilt aisles, no fixed-cell deployment. Meaning a sales motion that is more likely to be closing in months, not years.
Radar
Beyond our portfolio, what caught our attention this month.
"Hardware finally fits the 10-year VC model. AI compressed the cycle." Andre Retterath at Data Driven VC argues AI didn't just accelerate software — it shrunk hardware development timelines into a window that actually closes inside a fund's life. The thesis we've been underwriting for two years just became consensus.
"Three rounds, three countries, 30 days. European warehouse robotics has its breakout cohort." Sereact closed a $110M Series B in Stuttgart, led by Headline. Smart Robotics raised €10M Series A in the Netherlands, led by Rotterdamse Havendraken with Innovation Industries. KEMARO's $20M Series B kicked off with a $5M first close in Switzerland, led by Spicehaus. The deals are happening on the continent. The dollars increasingly are too.
"The largest seed round in European history came from someone walking out of DeepMind." Ineffable Intelligence closed a $1.1B seed at a $5.1B valuation. UK-based. Founded by DeepMind's David Silver. Europe is no longer the place where serious AI infrastructure founders leave to raise.
"€300M of sovereign capital just changed the maths for European scale-ups." The EIC STEP Scale Up scheme's 2026 budget hit €300M, and the first eight winners were named on 27 April. Ticket sizes (€10–30M per company, targeting €50–150M total rounds) finally line up with the geography we want our founders to build in.
"European deep tech now takes 32% of all European VC. That's not a thesis post anymore. It's the data." Dealroom's 2026 European Deep Tech Report, with Lakestar and Walden Catalyst, puts 2026 European deep tech at $20.3B — an all-time high share of continental VC. The cap-table conversation is changing in real time.
"Spatial computing's commercial wedge isn't gaming. It's the factory worker who can see through walls." Industrial AR plus digital twins are delivering double-digit downtime reductions in early manufacturing deployments. Foundation models that interpret spatial data in real time are the unlock. The frontier is industrial, not consumer.
One Thing to Watch
The missing middle layer.
We've been spending more time recently with founders building the connective tissue between machines and environments. Digital twins that simulate a factory before a single machine moves. Warehouse operating systems that orchestrate AMR fleets in real time. V2X middleware that lets vehicles, infrastructure and edge compute talk to each other without a single OEM owning the stack.
This is the underrated category in physical AI. The machines get the headlines. The models get the funding. The infrastructure layer in between is what makes either of those investable at scale, and it's where a disproportionate share of the value will compound over the next decade. If you're building here, or you know someone who is, we want to hear from you.
The map behind the thesis
We mapped the early-stage European robotics landscape across 12 application verticals and 6 enabling stack categories. It's the ground truth behind everything in this issue.
Hiring across the portfolio
Highlighting fresh roles.
ai|coustics — Marketing Lead, Berlin →
Iconic AI — Tech Lead, London →
M-XR — Software Engineer, London →
Roro — UI Programmer, Remote →
Levtek — Mechanical Engineer, Malmö →
More roles at jobs.fov.ventures →
We're actively looking at the missing middle layer: robot-ready infrastructure, digital twins, V2X, warehouse operating systems. Building one? Know someone who is? Hit reply.
See what others miss.
— The FOV Team
Viewpoints is brought to you by FOV Ventures, the leading European fund investing in the next era of computing — robotics, physical AI, spatial.