NavVis lands $85M in Series D funding to scale its spatial data engine and accelerate AI development. Learn how this Munich startup is digitizing industrial spaces.
NavVis, the Munich-based startup building spatial twins of the built world, just closed a massive Series D round. The company pulled in $85 million (โฌ73.7 million) to supercharge its spatial data engine and push its AI roadmap forward faster than ever.
The funding was led by The Jordan Company, a US private equity firm, with backing from existing investors like Yttrium, KOZO KEIKAKU ENGINEERING (KKE), and Cipio Partners. That's a solid vote of confidence from both sides of the Atlantic.
### Why this round matters for the industry
NavVis isn't just another 3D scanning company. It's solving a problem that's been nagging at industrial operators for decades: nobody really trusts the drawings they plan against. The company's platform captures factories, plants, and buildings at survey-grade standards in days, then holds that data as the single source of truth for industrial reality.
Dr. Felix Reinshagen, co-founder and CEO, put it simply: "Our mission is to keep the physical and digital reality synchronised for the world's most valuable assets." He added that the round will fuel more scalability, more intelligence, and ultimately more productivity for the assets their customers depend on.
The US market is a big part of the plan. "We will broaden our market presence with a strong focus on the US market where we have been scaling the fastest in recent years," Reinshagen said.
### What NavVis actually does
Founded in 2013 as a spin-off from the Technical University of Munich (TUM), NavVis has grown into a key player in the spatial data space. The company combines mobile reality capture hardware with an enterprise platform that turns raw scans into living, always-current digital twins.
Here's what sets them apart:
- **10x faster capture** than traditional survey methods, without sacrificing accuracy
- **Survey-grade precision** for both indoor and outdoor environments
- **SLAM technology** that lets robots and scanners navigate unknown spaces without a map
- **A collaborative cloud platform** (NavVis IVION) that makes spatial data shareable across teams
The hardware lineup includes the NavVis VLX and MLX wearable and handheld laser scanning systems. These use simultaneous localization and mapping (SLAM), a technology developed back in the 1980s that originally helped robots find their way around unfamiliar spaces.
### The numbers behind the momentum
NavVis reports that more than one billion square feet of the world's most complex industrial plants, construction sites, and buildings have been added to its platform in 2025 alone. That's a lot of data, and it's already making a difference.
Over 150,000 users across engineering, maintenance, and construction teams rely on NavVis systems to cut downtime on automotive assembly lines, speed up data-center construction, and shorten maintenance shutdowns at refineries. Some customers even use the data to plan robotics rollouts or train industrial AI models.
Dr. Georg Schroth, co-founder and CTO, framed it this way: "Acting in the physical world has always meant planning against drawings no one fully trusts. We changed that." He sees this round as a stepping stone toward "next-generation capture, a deeper intelligence layer, and an open platform for the physical AI ecosystem."
With more than 1,500 customers in over 50 countries, NavVis is clearly onto something. And with this fresh injection of capital, the company is positioning itself to be the backbone of how industries digitize their physical assets. For anyone watching the spatial computing space, this is a name to keep on your radar.