ScyAI launches AI risk intelligence for real assets and insurance after €2M pre-seed
Financing Launch - 16.02.2026
Zurich-based ScyAI closed a €2 million pre-seed round led by AENU with PT1 as co-lead. The company offers AI-driven risk intelligence for asset-heavy organizations so they can evidence risk quality, negotiate fairer premiums, and tighten coverage.
Why this matters for insurance teams
The protection gap keeps widening. Munich Re reports that 2025 saw roughly $224 billion in economic losses from natural catastrophes, with $108 billion insured - leaving more than half uncovered. See Munich Re's NatCat resources for broader context here.
Pricing still leans on industry buckets and regional averages. Without site-level data on construction quality, mitigation, and asset separation, underwriters price defensively. Good operators end up subsidizing weaker peers - or unknowingly retain more risk than intended.
What ScyAI actually does
ScyAI builds quantified, auditable risk profiles by blending a customer's operational data with external hazard models. The output mirrors the metrics underwriters trust, so risk quality becomes visible, comparable, and easier to price accurately.
At the core is Scy - an autonomous AI agent that maintains a Digital Risk Twin of locations, risks, and insurance data. It works with the customer to analyze exposures, prep renewals, and produce submissions that hold up to underwriting scrutiny.
Early results reported
Early adopters report 30-50% premium reductions - often seven figures for large programs - while increasing limits and closing coverage gaps. Many channel those savings into physical resilience, creating a feedback loop where better risk management funds better protection.
Who benefits
Manufacturers, energy producers, and any company with a large physical footprint. ScyAI targets both affordability and adequacy so programs reflect true risk, not averages. "Physical risks are becoming a core operational and financial issue for companies," says Bernhard Rannegger, founder and CEO of ScyAI. "Our mission is to make these risks measurable, understandable, and controllable - so that enterprise risk and insurance teams can make better decisions and evolve from a cost center to a strategic resilience capital allocator."
Round details
The €2 million pre-seed was led by AENU, with PT1 as co-lead. Additional investors include David Helgason (Unity), Maex Ament and Philip Stehlik (Taulia, Centrifuge) via Anti Ordinary Ventures, plus Bela Lainck, Robert Levenhagen, Christoph Aufmhof, and Stefanie Gerhart through better ventures.
Investors highlight three things: strong technical ambition, clear customer ROI, and a large global market. They also point to the team's deep insurance DNA and focus on decision tools that actually fit risk and insurance workflows - the kind that can set a new benchmark for the category.
The team behind it
Founded in 2025, ScyAI is led by CEO Bernhard Rannegger, who spent six years in tech and product management at Swiss Re, developed AI risk models, and helped build a joint venture with Palantir that scaled to 50+ enterprise customers (including Siemens, Petronas, and Maersk).
Head of Risk and Insurance AI, Alex Sidorenko, brings 20+ years in risk and insurance across Deloitte, PwC, and EuroChem, and most recently served as Group Head of Insurance & Risk at Serra Verde.
Practical next steps for insurance leaders
- Inventory critical sites and asset clusters; map TIV, COPE data, and separation distances to underwriter-ready fields.
- Quantify perils with credible hazard models; track expected annual loss, MFL/PML, and secondary modifiers.
- Document mitigation: hardening, defensible space, flood protections, fire protection reliability, and inspection cadence.
- Build a clean data room for renewals (loss runs, SOV, engineering reports, site photos) and keep it versioned and auditable.
- Pilot a Digital Risk Twin on one complex location; use the submission learnings to scale portfolio-wide.
- Ringfence premium savings to fund resilience projects with measured payback.
If your team is building AI skills to support this shift, explore practical courses by job at Complete AI Training.
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