By Lea Mira, HTN staff writer - 8.1.2025
TakeUp, a revenue optimization startup focused on independent hospitality businesses, has secured $11 million in Series A funding to accelerate growth and product development. The round was led by 1848 Ventures and signals growing investor confidence in the company’s mission to make advanced pricing intelligence more accessible to smaller operators traditionally underserved by hotel technology providers.
Founded in 2022 and based in Cleveland, Ohio, TakeUp positions itself as a data science ally to independents—properties that lack the in-house analysts and tech stacks available to larger hotel chains. Its causal inference AI models analyze more than 38,000 real-time micro-variables daily to deliver dynamic pricing recommendations. The company says these models help improve conversion rates, optimize for either occupancy or revenue goals, and adapt quickly to shifting demand conditions.
The move toward explainable AI comes as the hotel revenue management landscape evolves rapidly. Established players like IDeaS (a SAS company), Duetto, Infor, and Revenue Analytics continue to serve enterprise hotel groups with comprehensive and deeply integrated systems. These platforms are known for their advanced segmentation, granular forecasting, and broad integrations, but they often come with higher implementation costs and complexity that can pose barriers to smaller teams with limited resources.
Infor, for example, incorporates revenue optimization into its broader property and financial management ecosystem, enabling more holistic decision-making. Duetto’s signature Open Pricing model has found success with large chains for its flexibility and real-time rate adaptability. Meanwhile, Cloudbeds (another key player catering to independent hotels) offers a bundled suite of PMS and revenue tools designed for simplicity and ease of use.
TakeUp aims to carve out a space between these approaches, combining the analytical depth often reserved for major brands with the usability and transparency that independent operators demand. Its platform is built to empower revenue managers, not replace them.
“TakeUp was built after spending time with independent hotel operators and hearing a common frustration—they were leaving money on the table and struggling to maintain strong occupancy,” said CEO Bobby Marhamat in a recent Spotlight Interview. “Many simply didn’t have the tools or expertise to price their rooms optimally, and hiring a full-time revenue manager was out of reach. TakeUp solves this by providing smart, AI-powered pricing that automatically adjusts 24/7 and pairing it with expert revenue managers who guide each hotel’s strategy.”
What sets TakeUp apart in a crowded field is its emphasis on pricing explainability. Its newest feature, announced in June, is designed to make AI-driven pricing decisions more transparent. The tool, dubbed Why This Rate, provides a real-time demand curve, scenario-based modeling, and clear, jargon-free explanations behind each recommendation. The goal is to address what many in the industry have described as the “black box” problem in AI-powered pricing where models issue guidance without explaining the rationale.
This feature arrives at a time when skepticism toward opaque AI tools remains a key hurdle to adoption, especially in the independent segment. While hoteliers increasingly recognize the potential of AI to improve pricing strategy and guest targeting, many are wary of systems that don’t allow human review or contextual understanding. TakeUp’s answer is to show not just what rate to charge, but why.
The company’s growth reflects this shift in market appetite. TakeUp reports that its customer base grew by more than 300% over the past year, now including hundreds of boutique hotels and alternative accommodations. Clients span the U.S., Europe, and Latin America, underscoring global demand for tools that help small properties compete more effectively with larger brands.
TakeUp operates in a competitive space alongside companies like RoomPriceGenie, PriceLabs, and Pace, all of which target smaller hospitality businesses lacking dedicated revenue management teams. While many competitors focus on rate automation, TakeUp’s blend of causal inference modeling and decision transparency is designed to appeal to analytically minded users and teams looking to scale without ceding control.
Its platform integrates with widely used property and channel management systems, streamlining onboarding and ensuring real-time data synchronization. Additional features include live forecasting, price elasticity testing, and forward-looking rate modeling. Future roadmap items include longer-horizon trend analysis, deeper insights into seasonal price sensitivity, and enhanced scenario planning tools for more strategic revenue management.
The Series A round marks more than a funding milestone. It signals an accelerating shift in the hospitality tech market where ease of use, explainability, and transparency matter as much as algorithmic horsepower. As AI adoption deepens, platforms that empower users to understand and act on data may have the staying power to redefine how hotels price, plan, and grow.