Mews raises €255M to accelerate AI and automation in hotel operations
Amsterdam-based Mews has secured €255 million (about $300 million) in Series D funding to advance AI-driven workflows across hotel operations. The round was led by EQT Growth with new participation from Atomico and HarbourVest Partners, alongside Kinnevik, Battery Ventures, and Tiger Global. The company is now valued at roughly $2.5 billion.
Founded in 2012 by Richard Valtr and Matt Welle, Mews builds a cloud-native operating system that connects reservations, check-ins, housekeeping, payments, and more in one platform. The goal: replace legacy tools with a connected backbone that reduces friction for teams and guests.
What this means for operations
The fresh capital is earmarked for deeper AI and automation at the core of the product. Expect agent-driven systems that take on routine, multi-step tasks-freeing staff time and tightening handoffs across front desk, housekeeping, and finance.
Practically, this looks like faster check-ins, fewer manual reconciliations, and smarter upsell flows that don't slow the line. It also means cleaner data moving across departments without staff chasing status updates or fixing errors by hand.
Scale and traction
- 15,000+ properties across 85 countries
- 42.3 million check-ins processed in 2025
- Nearly $20 billion in transaction volume handled
- $500+ million in incremental revenue for hoteliers, supported by modules like Mews Spaces
Why investors care
This is one of the largest rounds in hospitality software, signaling confidence in infrastructure that blends AI and fintech to solve real operational work. Hotels are modernizing, but teams want automation that simplifies-not adds more screens and steps.
Leadership view
CEO Matt Welle put it simply: We are engineering an operating system that is changing how hoteliers interact with their guests. The aim is to reduce cognitive load for staff and make daily operations smoother so teams can focus on service.
How to evaluate this if you run operations
- Consolidation: What systems could you retire if the OS handles PMS, payments, and housekeeping flows in one place?
- Time savings: Quantify minutes saved per check-in, room turnarounds, and nightly close. Tie it to staffing plans.
- Data flow: Confirm APIs, webhooks, and integrations with your existing tools (channel manager, RMS, accounting).
- Reliability: Ask for uptime history, incident response, and failover. Clarify SLAs by region.
- Payments: Review fees, chargeback tooling, reconciliation, and payout timing. Model total cost vs. current stack.
- Security and compliance: Validate certifications, data residency, and permissions workflows.
- Change management: Map training time per role and an adoption plan for multi-property rollouts.
Near-term playbook
- Run a 60-90 day pilot on one property with clear KPIs: check-in time, upsell attach rate, housekeeping turnaround, chargeback rate, and NPS.
- Stand up 3-5 automations that remove repetitive work (late checkout approvals, room status sync, invoice matching).
- Assign an internal owner for vendor coordination, data quality, and staff feedback loops.
- Build a simple ROI sheet: labor hours saved, reduced errors, incremental revenue from upsells and payments.
The bottom line
The funding gives Mews room to ship faster. The real test is execution-turning AI features into dependable automations that reduce steps for staff and lift revenue without adding clutter. With broad adoption and a growing automation toolkit, Mews is positioning itself as a core system for hotels looking to modernize operations and improve guest experience.
If you're planning an AI ops rollout across your team and want structured training paths, explore practical resources on automation for operations leaders.
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