Hotel revenue management has always been manual, time-intensive work. Spreadsheets, gut instinct, and hours of competitor price-checking every week. happyhotel is changing that – and the company just closed a €6.5 million Series A to prove there’s serious market demand for automated hotel revenue management software at scale.
The round was led by Reimann Investors, with existing backers Start-up BW Innovation Fund, seed + speed Ventures, and Wecken & Cie all participating again. The funding was announced on February 19, 2026.
The Problem It Solves:
Independent hotels and smaller hotel groups rarely have a dedicated revenue manager. Pricing decisions often get made using last year’s rates, local intuition, or rough competitor checks. That gap costs real money.
happyhotel’s software pulls in booking curve data, occupancy rates, local events, competitor pricing, and market demand – then adjusts room rates automatically, around the clock. The platform reports an average 15% revenue increase across hotels using it, with some customers seeing gains of up to 30%. Today it optimizes over 50,000 hotel rooms across 12 countries and manages more than €1 billion in annual hotel revenue.
AI Agent, Not Just Software:
The Series A funding accelerates something bigger than adding features to an existing product. happyhotel is moving from revenue management software to what it calls a commercial AI agent for hotels.
The distinction matters. A software tool gives you data and recommendations. An AI agent takes action – analyzing demand signals, adjusting prices, managing distribution decisions – with a team of in-house revenue managers available for strategy-level input.
Rafael Weißmüller, CEO of happyhotel, said: “We are not building our system for the revenue manager – we are automating the tasks of a revenue manager. Our goal is to enable professional revenue management for every hotel and fully automate the selling of hotel rooms so hoteliers can focus entirely on their guests.”
That framing is important for the hospitality industry. Most hotels can’t justify hiring a full-time revenue manager. happyhotel’s model makes professional dynamic pricing accessible to properties that would otherwise skip it entirely.
Who’s Behind the Investment:
Reimann Investors focuses on early growth-stage B2B SaaS and AI companies in the DACH region. Their interest in happyhotel signals confidence in both the product’s traction and the size of the addressable market.
Hans-Christian Perle of Reimann Investors, commented:
“happyhotel brings together everything we look for at this stage: an experienced founding team, a scalable product with measurable customer value and a large market that has still only been partially tapped. Rafael and his team have convincingly demonstrated that they deeply understand the hospitality industry and can translate its requirements into a powerful solution. We look forward to supporting happyhotel as an active sparring partner in the next growth phase.”
Built for European Expansion:
happyhotel was founded in 2019 by Rafael Weißmüller, Sebastian Kuhnhardt, and Marius Müller, and is headquartered in Offenburg, Germany. The fresh capital goes toward European expansion and continued development of the AI agent.
The hospitality market in Europe is large and fragmented. Most independent hotels still rely on manual pricing processes or basic channel managers. That gap is exactly where hotel revenue management automation tools have room to grow.
For hotel operators exploring dynamic pricing software, the setup process is designed to be accessible – no revenue management background required. happyhotel connects to existing PMS systems, handles configuration alongside the customer, and offers a 14-day free trial before any commitment.
Keeping an Eye On:
The shift from software to AI agent is the real story to follow here. As happyhotel expands its AI capabilities and moves into new European markets, the question for the industry is how quickly independent hotels adopt fully automated revenue management – and what that means for how hotels compete on price. The combination of AI-driven pricing and human revenue management expertise built directly into the product is the model to watch as this space matures.
