NavVis, a Munich-based spatial twin platform, just raised $85 million in Series D funding to build its spatial data engine and accelerate its AI roadmap, targeting the US market.
When you think about the physical world around us, it's easy to forget how much of it is still undocumented. Factories, refineries, and construction sites are complex places, and for decades, we've relied on blueprints and drawings that don't always reflect reality. That's exactly the problem NavVis set out to solve, and they've just secured a hefty new round of funding to double down on their mission.
NavVis, a Munich-based company, has raised a $85 million Series D round to build out its massive spatial data engine and accelerate its AI product roadmap. The round was led by The Jordan Company, a US private equity firm, with participation from existing shareholders like Yttrium, KOZO KEIKAKU ENGINEERING, and Cipio Partners. It's a strong signal that investors believe in the growing importance of spatial data.
### What Exactly Does NavVis Do?
Founded in 2013 as a spin-off from the Technical University of Munich, NavVis builds technology that captures the physical world in stunning digital detail. Their goal is to keep the physical and digital reality synchronized for the world's most valuable assets. They do this by combining fast, survey-grade mobile reality capture with an enterprise platform that turns raw data into a shared, trusted digital twin.
The company's hardware, the LX-Series, includes wearable and handheld laser scanning systems like the NavVis VLX 3 and NavVis MLX. These devices use SLAM (Simultaneous Localization and Mapping) technology, a process originally developed in the 1980s to help robots navigate new environments. Today, NavVis has adapted it to capture indoor and outdoor spaces at a level of accuracy that was previously only possible with slow, expensive traditional methods.
### Why This Matters for AI and Industry
Dr. Felix Reinshagen, co-founder and CEO of NavVis, put it simply: their mission is to keep the physical and digital reality synchronized. He noted that customers are trusting them with billions of square feet of spatial data from their most critical infrastructure. The new funding will allow them to add more scalability, more intelligence, and ultimately more productivity for those assets.
They're also focusing heavily on the US market, where they've been scaling the fastest in recent years. It's not hard to see why. In 2025 alone, more than a billion square feet of complex industrial plants, construction sites, and buildings have been added to the NavVis platform.
Here's a quick look at what makes their approach different:
- **10x faster capture:** They claim their scanning systems are ten times faster than traditional survey methods.
- **Always-current twins:** The NavVis IVION platform keeps the digital model in sync with the physical reality.
- **Actionable data:** The data isn't just for visualization; it's used to reduce downtime, plan robotics rollouts, and even train industrial foundational models.
### The Bigger Picture: A System of Record for Reality
NavVis co-founder and CTO Dr. Georg Schroth made a compelling point: "Acting in the physical world has always meant planning against drawings no one fully trusts. We changed that." He explained that NavVis captures any factory, plant, or building at survey-grade standards in days, holding it as the System of Record for industrial reality data.
This is a big deal. With over 150,000 users in engineering, maintenance, and construction teams relying on their data, the impact is already tangible. Customers use NavVis to reduce downtime on automotive assembly lines, speed up data-center construction, and shorten maintenance shutdowns at refineries. The potential for AI-driven decision-making at scale is enormous.
With more than 1,500 customers across 50 countries, NavVis is proving that the physical world can be digitized, analyzed, and optimized in ways we never thought possible. This funding round is a clear bet that spatial data will be the foundation for the next wave of industrial AI.