Top 10 AI SaaS companies in hotel IT sector in the Netherlands

The Dutch hospitality sector is undergoing a digital transformation powered by artificial intelligence and cloud technology. From personalized guest experiences to automated management systems, hotels across the Netherlands are adopting AI SaaS solutions to streamline operations, boost revenue, and delight guests.

Whether you’re managing a boutique hotel in Amsterdam or overseeing a major hospitality chain, these ten companies are setting the benchmark for innovation in hotel IT. Let's dive in!

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1. Codelevate

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Amsterdam-based Codelevate builds tailored AI solutions that solve real operational challenges for hotels and hospitality SaaS platforms. Their expertise spans guest onboarding, data management, and workflow automation. Known for their hands-on approach, Codelevate partners closely with hotel brands to co-create technology that enhances guest experiences and internal efficiency.

Key facts about Codelevate

• Founded Year: 2021 according to one profile.
• Location: Amsterdam (Netherlands) & an office in Sofia, Bulgaria.
• Focus: Custom AI solutions—chatbots, automation tools, data-platforms—for SaaS & hospitality; helping hotel-tech vendors build smarter and faster.
• Use Case Example: They partner with hotel SaaS vendors/startups to build workflow automation, AI-assistants, data integrations—to improve guest onboarding, internal operations, and service flows.
• Stage: Private/Service-company rather than traditional VC-backed startup (no public big funding round found).
• Total Funding to date: Not publicly disclosed.
• Investors: Not publicly disclosed.
• Latest Funding Round: N/A (service business rather than pure VC startup).
• Competitors Rank: Not publicly available; as a custom development partner it competes with other boutique AI studios and consultancy players rather than being ranked among large SaaS vendors.

For context on how AI is reshaping hotel management, check out this guide.

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2. Oaky

Oaky uses AI to personalize upsell offers before a guest even arrives. Hotels can automate guest segmentation, optimize timing for upsell messages, and boost overall revenue through smart data insights. The platform’s intuitive design and proven ROI make it a favorite across Europe.

Key facts about Oaky

• Founded Year: 2013.
• Location: Amsterdam, Netherlands.
• Focus: Automating guest upsells (pre-stay and in-stay) via analytics, segmentation, personalised offers, aiming to increase ancillary revenue for hotels.
• Use Case Example: Hotels use Oaky to send guests’ tailored upgrade offers, late check-out deals, spa/restaurant add-ons, achieving higher guest spend and better revenue per booking.
• Stage: Acquired by Plusgrade in 2025.
• Total Funding to date: ~$11.78M according to CB Insights/Crunchbase.
• Investors: PeakSpan Capital, Singapore Tourism Accelerator.
• Latest Funding Round: Series A 2020 (~$9.5M) led by PeakSpan Capital.
• Competitors Rank: While not a precise ranking, CB Insights lists several competitors (Canary Technologies, Easyway, UpStay, GuestJoy) in its “Alternatives & Competitors” section.
• Relevant Read: Forbes on AI in guest personalization

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3. RUNNR.ai

Based in Utrecht, RUNNR.ai specializes in AI-powered chatbots for hotels. Their virtual assistants answer guest questions 24/7, handle bookings, and offer local recommendations using advanced natural language processing. This automation frees up hotel staff and ensures guests get fast, accurate responses.

Key facts about RUNNR.ai

• Founded Year: 2022 (Nov) according to one source.
• Location: Utrecht, Netherlands.
• Focus: Generative AI and chatbots that automate guest communications (via WhatsApp/SMS), handle FAQs, concierge tasks, upselling, in multiple languages, integrated with hotel PMS systems.
• Use Case Example: Hotels implement RUNNR.ai to respond to 95% of guest queries automatically, upsell services (e.g., late check-out) and free staff from repetitive tasks.
• Stage: Early-stage; Seed/Extension.
• Total Funding to date: ~€2 M (~$2M) by Feb 2025.
• Investors: Arches Capital (lead), Golden Egg Check, Roland Zeller (ex-GetYourGuide), Marnix van der Ploeg (ex-Booking.com), Hans Pieters.
• Latest Funding Round: Extension round Feb 2025 (~€1M) raising total to ~€2M.
• Competitors Rank: Not publicly ranked; appears as an emerging player in hospitality guest-communication automation market.

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4. Maxxton

Headquartered in Middelburg, Maxxton has long been a reliable name in hotel management software. Their AI-enabled ERP system manages everything from reservations and housekeeping to finance and guest reputation. The integration-friendly platform supports both independent hotels and large chains.

Key facts about Maxxton

• Founded Year: 1998. (Known as a long-standing company in the Netherlands)
• Location: Middelburg, Netherlands.
• Focus: End-to-end operations software for hospitality: bookings, housekeeping, finance, guest reputation, channel/booking engine integrations, AI-enhanced analytics.
• Use Case Example: Mid-to-large hotel chains deploy Maxxton’s ERP suite to unify complex operations, streamline housekeeping, integrate payments and analytics, replace legacy systems.
• Stage: Established private company (not typical VC startup).
• Total Funding to date: Not publicly available (may be privately funded/bootstrapped or via private equity).
• Investors: Not publicly disclosed.
• Latest Funding Round: Not publicly disclosed.
• Competitors Rank: Not publicly ranked; in the hospitality ERP software category many players exist (e.g., Oracle HMS, Protel, InnQuest) so estimating rank is difficult.
• Relevant Read: European Hospitality Technology Outlook 2025

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5. RoomRaccoon

RoomRaccoon, based in Breda, offers an all-in-one platform that combines PMS, channel management, and revenue optimization—enhanced by AI analytics. Hotels love its simplicity, transparency, and automation features, helping them manage every part of the guest journey seamlessly.

Key facts about RoomRaccoon

• Founded Year: 2017.
• Location: Breda, Netherlands.
• Focus: An all-in-one PMS + channel manager + revenue optimisation platform, augmented with AI­analytics and automation for small to medium hotels.
• Use Case Example: Boutique hotels use RoomRaccoon to manage reservations, automate front-desk tasks, optimise room rates via AI insights, and coordinate across channels (OTA, direct, etc).
• Stage: Growth stage; private.
• Total Funding to date: ~$10M (approx) according to earlier summary in your original article.
• Investors: Not publicly detailed in this rewrite request.
• Latest Funding Round: Not specified publicly.
• Competitors Rank: Not publicly disclosed; competes with platforms like Cloudbeds, eZee FrontDesk, Hotelogix.

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6. Ireckonu

Amsterdam’s Ireckonu empowers hotels to consolidate and clean guest data across systems, fueling personalized experiences and loyalty programs. Their AI-driven middleware connects PMS, CRM, and booking engines, giving operators actionable insights that boost engagement and retention.

Key facts about Ireckonu

• Founded Year: 2014.
• Location: Amsterdam, Netherlands.
• Focus: Middleware connecting PMS, CRM, booking engines and loyalty tools; using AI to clean guest profiles, generate insights and enable personalised experiences across brands and properties.
• Use Case Example: Multi-property hotel groups use Ireckonu to unify disparate guest-data systems, power loyalty programmes, run targeted guest-journey campaigns and personalise service at scale.
• Stage: Series B (publicly referenced)
• Total Funding to date: Not explicitly given in your source, but implied to be beyond early‐stage.
• Investors: Not publicly disclosed in this summary.
• Latest Funding Round: Series B (date unspecified)
• Competitors Rank: Not publicly disclosed; competes in guest data & CDP space for hospitality (comparable to Revinate, Cendyn, Zingle).
• Relevant Read: Harvard Business Review on customer data strategy

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7. Lighthouse Intelligence

Lighthouse helps hotels master revenue management through predictive analytics and dynamic pricing tools. With real-time dashboards and AI-driven recommendations, hoteliers can make smarter decisions that boost both occupancy and profitability.

Key facts about Lighthouse Intelligence

• Founded Year: 2012. (If aligning with original text “Revenue management … 2012”)
• Location: Amsterdam, Netherlands.
• Focus: Predictive analytics for pricing, forecasting demand, dynamic distribution and dashboarding to optimise revenue and occupancy.
• Use Case Example: Revenue managers at hotels use Lighthouse to access real-time market trends, receive AI-driven recommendations on pricing and distribution, make decisions that move KPIs like RevPAR and occupancy.
• Stage: Growth stage; private. (Note: “formerly OTA Insight” was implied)
• Total Funding to date: ~$80M (approx) according to summary in original article.
• Investors: Not detailed here publicly.
• Latest Funding Round: Not specified.
• Competitors Rank: Not explicitly given; in revenue intelligence space competes with companies like Duetto, IDeaS, Rainmaker.

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8. Mews

The Mews platform enables users to manage operations with features such as booking management, reservation management, payment management, visitor management, and more.

Key facts about Mews

• Founded Year: 2012.
• Location: Amsterdam, Netherlands.
• Stage: Series D.
• Total Funding to date: $410 M.
• Investors: Kinnevik, Notion, and 16 others.
• Latest Funding Round: Series D, March 4 2025.
• Competitors Rank: Ranked 11 of 1,471 competitors (per Tracxn score) in some database.
• Focus: Automate check-in/check-out, payments, day-to-day workflows, connect to third-party tools; enabling hotels to scale rapidly via cloud PMS.
• Use Case Example: Thousands of properties use Mews to automate front-desk tasks, manage bookings & payments, integrate with upsell/guest-apps, streamline operations across multiple sites.

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9. HostHub AI

HostHub AI focuses on helping hotels streamline communication through AI chat systems and onboarding tools. Their automation-first approach improves responsiveness, personalizes messages, and can even boost direct bookings.

Key facts about HostHub AI

• Founded Year: 2023.
• Location: Amsterdam, Netherlands.
• Focus: Digital assistant/chatbot that handles guest conversations, onboarding, service requests and direct bookings using AI automation.
• Use Case Example: Hotels deploy HostHub AI to reduce guest-messaging workload, deliver personalized responses, encourage direct bookings and free up staff for high-value service.
• Stage: Seed.
• Total Funding to date: Not publicly specified.
• Investors: Not publicly specified.
• Latest Funding Round: Seed (2023).
• Competitors Rank: Emerging player; not yet widely ranked against established incumbents.

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10. Please ask m

Rotterdam-based Please ask m transforms how hotels handle event requests and group bookings. Using automation and AI, the platform digitizes workflows, reducing manual admin and freeing staff to focus on service delivery.

Key facts about Please ask m

• Founded Year: 2020.
• Location: Rotterdam, Netherlands.
• Focus: Digitising hotel event- and meeting-request workflows via AI and automation—so that event teams spend less time on admin and more on service.
• Use Case Example: Hotels that cater to conferences and group business use Please ask m to capture RFPs, manage meeting requests, automate proposals and stage planning—reducing manual work and improving operational speed.
• Stage: Early Growth.
• Total Funding to date: Not publicly disclosed.
• Investors: Not publicly disclosed.
• Latest Funding Round: Not publicly disclosed.
• Competitors Rank: Not publicly ranked; operates in the niche event/meeting-management SaaS space for hospitality.

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Conclusion

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AI SaaS innovation is redefining how hotels in the Netherlands operate, making management smarter, guest experiences more personal, and operations more efficient. From data-driven upselling to full-scale ERP automation, these ten companies represent the forefront of a new digital era in hospitality. If you’re exploring how AI can enhance your hotel’s performance, take inspiration from these pioneers. The future of hotel technology isn’t just approaching - it’s already here, reshaping the guest experience one intelligent interaction at a time. For a broader perspective on the best PMS systems by hospitality segment, see this blog.

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If you are curious how AI is changing the hospitality industry and want to stay up to date with the latest trends, check out this guide.

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Ready to bring AI-powered solutions to your hospitality business? Partner with Codelevate and book a free strategy call to discuss your project and explore scalable, high-quality software solutions.

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