Munich-based NavVis raised $85M to build a spatial data engine for AI. The company maps industrial sites and buildings with survey-grade precision, targeting US growth.
When you think about AI, you probably picture chatbots or image generators. But the next big frontier for artificial intelligence isn't just about text and pixels—it's about the physical world around us. That's exactly where NavVis, a Munich-based spatial data company, is placing its bets.
The company just closed a massive $85 million Series D round. The goal? To build a giant spatial data engine that could become the backbone for how AI understands factories, construction sites, and entire buildings.
### The Big Picture: Why Spatial Data Matters
Here's the thing: AI models are only as good as the data they're trained on. While we've fed them mountains of text and images, we haven't given them a reliable way to understand three-dimensional space. NavVis wants to fix that.
Think of it like this: if you're planning a robotics rollout in a warehouse, you need to know exactly where every beam, pipe, and doorway is. Traditional methods of capturing that data are slow, expensive, and often inaccurate. NavVis claims its technology can capture survey-grade reality 10 times faster than traditional methods.
The round was led by The Jordan Company, a US private equity firm. That's a notable signal—American investors are increasingly interested in European deep tech. Existing backers like Yttrium, KOZO KEIKAKU ENGINEERING, and Cipio Partners also joined in.
### What Exactly Does NavVis Do?
Founded in 2013 as a spin-off from the Technical University of Munich, NavVis builds a platform that creates "digital twins" of the built environment. These aren't just pretty 3D models—they're precise, measurable representations that engineers and maintenance teams can actually rely on.
Their hardware lineup includes wearable and handheld laser scanners (the NavVis VLX and MLX series). These devices use SLAM technology—a process originally developed in the 1980s to help robots navigate unknown spaces—to map complex environments quickly and accurately.
But the hardware is just the beginning. The real value lies in NavVis IVION, their enterprise cloud platform. This turns raw scan data into a shared, always-current digital reality that teams can access from anywhere.
### The Numbers Behind the Hype
The company has some impressive statistics to back up its claims:
- Over 1 billion square feet of industrial plants, construction sites, and buildings added to the platform in 2025 alone
- More than 150,000 users in engineering, maintenance, and construction teams
- Over 1,500 customers in more than 50 countries
These aren't just vanity metrics. NavVis customers are using the platform to reduce downtime on automotive assembly lines, speed up data center construction, and shorten maintenance shutdowns at refineries.
### The AI Connection
Here's where things get interesting for the AI world. NavVis isn't just building a database of buildings. It's creating the training ground for "physical AI"—systems that need to understand and interact with the real world.
Co-founder and CTO Dr. Georg Schroth put it this way: "Acting in the physical world has always meant planning against drawings no one fully trusts. We changed that."
He sees the company as building the "System of Record" for industrial reality data—a governed, always-current record that every team, every tool, and every AI system can build on.
### What's Next?
CEO Felix Reinshagen says the new funding will go toward scalability, intelligence, and productivity. The company is also doubling down on the US market, where it's been growing fastest in recent years.
For anyone watching the intersection of AI, robotics, and industrial automation, this is a space to keep an eye on. The race to map the physical world for machines is just getting started, and NavVis just secured a significant head start.