Austrian AI hotel platform Chatlyn nets $9.3m series A

Vienna-based startup Chatlyn has raised €8 million (US$9.3 million) in a Series A funding round led by Smedvig Ventures.

Other participants include Andreas Burike, Blaguss, Mathias Hiebeler, and strategic hospitality investors, along with support from Austria’s FFG innovation grant.

Founded in late 2022, Chatlyn offers an AI-powered communication platform for hotels, streamlining guest interactions and operational workflows.

It currently supports over 1,000 properties in 30 countries, with clients such as St. Regis Mauritius and InterContinental Vienna.

The funding will be used to enhance its AI technology and expand operations in Europe, Asia-Pacific, and the Middle East.

Chatlyn integrates with over 20 property management systems and supports real-time translation in more than 35 languages.

Its AI tools include a visual webchat for bookings, multilingual communication, and integration with WhatsApp and email.

🔗 Source: chatlyn

🧠 Food for thought

1️⃣ Hospitality communication fragmentation represents a €10 billion opportunity

The hospitality industry has long struggled with fragmented communication systems, with hotels typically juggling 8-12 different platforms for guest messaging across channels like WhatsApp, email, booking platforms, and social media.

This fragmentation directly impacts revenue and guest satisfaction, as evidenced by the significant increase in both volume and variety of information and communication technology (ICT) research in the hospitality sector between 2014-2017 1.

Recent data shows 73% of hoteliers believe AI will significantly impact the hospitality industry, while 58% of guests feel AI enhances their booking and stay experience 2.

Despite technological advancements, the industry has been slow to solve this communication challenge, with contactless services only recently accelerating adoption due to staff shortages 3.

The €10 billion annual loss figure cited by chatlyn aligns with the industry’s scale and the documented inefficiencies in guest communication systems across multiple touchpoints.