ScyAI Secures $2.2M to Transform Real Estate Risk with AI
Jan de Vries ·
Listen to this article~5 min

Zurich PropTech startup ScyAI raised $2.2M to develop AI that makes physical risk intelligence accessible for large real estate portfolios, led by AENU and PT1.
Here's a story that's becoming more common, and honestly, it's a bit of a wake-up call. A Zurich-based PropTech startup called ScyAI just closed a $2.2 million pre-Seed funding round. Their goal? To make AI-powered risk intelligence something every company with a big real estate portfolio can actually use.
Think about it for a second. If you own or manage a bunch of buildings, how do you really know what you're up against? Physical risks—from storms to floods—aren't just operational headaches anymore. They're hitting the bottom line, hard.
### The Investors Betting on Smarter Risk
The funding round was led by AENU and co-led by PT1. But what's really interesting is who else jumped in. They attracted some serious talent from the tech world, including unicorn founders like David Helgason from Unity. Other investors came through groups like Anti Ordinary Ventures and the angel alliance better ventures.
It tells you something, doesn't it? When seasoned founders and investors put their money here, they see a problem that's ripe for a tech solution.
Bernhard Rannegger, ScyAI's founder and CEO, put it plainly. "Physical risks are becoming a core operational and financial issue for companies," he says. "Our mission is to make these risks measurable, understandable, and controllable."
He's talking about shifting entire teams from being seen as a cost center to becoming strategic players who allocate capital for resilience. That's a powerful shift in thinking.

### A Trend in European PropTech Funding
ScyAI's raise isn't happening in a vacuum. Look across Europe in 2025-2026, and you'll see a pattern. Early-stage money is flowing into digital tools that help make sense of building data, climate impact, and sustainability.
- **Telescope**, an Oslo-based startup, secured a $4 million Seed round in March 2025. They help real estate owners turn climate risk data into portfolio-level insights.
- Over in Germany, **Lumoview** raised $3.3 million in June 2025 to speed up its building analytics tech for energy efficiency.
The common thread? Everyone's trying to manage climate risk and make data-driven decisions. ScyAI, with its laser focus on AI for large asset portfolios and insurance teams, fits right into this digital transformation of real estate management.
Robert Stoecker, a Partner at lead investor AENU, summed up the excitement. "We are excited to back ScyAI as they build the next generation of AI-native risk management," he said. "The combination of strong technical ambition, clear customer ROI, and a massive global market makes this a compelling opportunity."
### The Brains Behind the Operation
The company was founded in 2025 by a team that knows risk and insurance inside out. CEO Bernhard Rannegger spent six years at Swiss Re, developing AI risk models and even building a joint venture with Palantir that grew to serve over 50 big-name enterprise customers.
Then there's Alex Sidorenko, the Head of Risk and Insurance AI. He brings more than 20 years of experience from giants like Deloitte and PwC, most recently as Group Head of Insurance & Risk at Serra Verde. This isn't a team of theorists; they've lived the problems they're now trying to solve.
### Why This Matters Now More Than Ever
Let's talk about the elephant in the room: the staggering cost of climate risk. Munich Re reported that 2025 saw approximately $224 billion in economic losses from natural catastrophes. Of that, insured losses were about $108 billion. That means more than half of the damage wasn't covered by insurance.
That's a huge protection gap. And according to ScyAI, it exists partly because the current system is, well, a bit blunt. Insurance pricing often relies on broad industry averages, not the specific risk profile of your actual facilities.
Without detailed data on how a building is constructed, what mitigation measures are in place, or how assets are separated, insurance underwriters have to price defensively. They assume the worst to protect themselves.
Here's the unfair part: companies with strong risk management end up subsidizing their weaker peers in the same insurance category. Or, they end up retaining more risk than they ever intended, sometimes without even fully realizing the gaps in their coverage.
This is the messy, expensive problem ScyAI is walking into. Their platform aims to build quantified, auditable risk profiles. The idea is to give companies the data they need to understand their true exposure and give insurers the clarity to price policies more accurately.
It's about closing that massive protection gap, one data point at a time. For any professional managing large physical assets, that's not just a nice-to-have. It's becoming essential for resilience and smart financial planning.