logo
Canary Technologies Raises $80M to Solidify Its Position as the Hospitality AI Leader and Accelerate Global Reach

Canary Technologies Raises $80M to Solidify Its Position as the Hospitality AI Leader and Accelerate Global Reach

Hospitality Net13-06-2025
Canary Technologies, the award-winning global leader in hotel guest management technology, announced today it has closed an $80 million Series D round of funding to accelerate the company's global expansion as a leader in hospitality AI. Brighton Park Capital led the round, with participation from existing investors: Insight Partners, F-Prime Capital, Thayer Ventures, Y-Combinator and Commerce Ventures. This latest investment brings Canary's valuation to approximately $600 million dollars.
This fundraise comes on the heels of a $50M Series C raise announced 12 months ago and caps off an impressive year of growth marked by major partnerships with Best Western, Aimbridge Hospitality, Marriott, Wyndham, TUI Hotels & Resorts, and others. Additionally, Canary unveiled the launch of new cutting-edge AI products, including AI Voice and Webchat. As global demand for AI-powered guest engagement solutions continues to rise, Canary will use the funding to accelerate its rapid expansion.
The hospitality industry is entering a new era powered by AI, and we're proud to be at the forefront of that transformation. Through intelligent, enterprise-grade solutions, we're helping hotels run smarter, deliver faster service and create more personalized guest experiences at scale. This latest investment reflects both the extraordinary dedication of the team—whose work is redefining what's possible—and the growing impact Canary is making across the industry. We're energized by the strong demand and excited to expand our partnerships with many of the world's leading hoteliers. Harman Singh Narula, CEO and Co-founder of Canary
The announcement builds on Canary's accelerating growth and influence across the hospitality sector. Today, the company supports more than 20,000 hotels in over 100 countries and serves as the enterprise partner of choice for leading global brands, including Marriott, Wyndham, Best Western and many others. Canary has earned consistent recognition from industry experts—named the #1 Guest Experience Platform in consecutive years by HotelTechReport, and recognized by Deloitte, Fast Company and more.
This milestone reflects our team's continued commitment to building solutions that elevate the industry. Our AI solutions are crafted in close partnership with customers, purpose-built for hospitality, and deeply inspired by hoteliers' day-to-day workflows. When our hotel partners dream of better service, smarter operations, or more delightful guest experiences, our team works hard to turn those dreams into reality with precision, scale and purpose. SJ Sawhney, President and Co-Founder of Canary Technologies
Canary's scale and growth within the travel and hospitality sector are truly unprecedented. We're thrilled to partner with Harman, SJ, and the entire team as they accelerate their momentum and solidify their position as a category leader. Their dedication to delivering enterprise-grade, high-impact solutions for hoteliers positions them for long-term success and sustained global leadership. Kevin Magan, Partner at Brighton Park Capital
About Canary Technologies
Founded in 2018 by lifelong friends and hospitality experts Harman Singh Narula and SJ Sawhney, Canary Technologies was born out of a shared vision: to create intuitive, guest-centric technology that redefines the hospitality experience. Today, Canary serves properties of all sizes—from independent boutiques to global hotel brands—delivering a unified platform that modernizes hotel operations and transforms the guest journey, from pre-booking to checkout. For more information, visit http://canarytechnologies.com.
About Brighton Park Capital
Brighton Park Capital is a New York-based investment firm focused on entrepreneur-led, growth-stage software, healthcare and tech-enabled services companies. The firm invests in companies that provide highly innovative solutions in partnership with great management teams. Brighton Park brings purpose-built, value-add capabilities that match the unique requirements of each of its companies. For more information about Brighton Park Capital, please visit www.bpc.com.
Amanda McDowell
Content Marketing Manager
View source
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

The Lesson Behind Delta's AI Pricing Drama: Transparent, Not Personalized
The Lesson Behind Delta's AI Pricing Drama: Transparent, Not Personalized

Hospitality Net

time05-08-2025

  • Hospitality Net

The Lesson Behind Delta's AI Pricing Drama: Transparent, Not Personalized

As AI continues to redefine the boundaries of business optimization, a growing debate has emerged around the ethics of AI-driven pricing. The recent controversy surrounding Delta Airlines' CEO and the suggestion of 'personalized pricing' has rightly triggered public backlash. It also opens an important industry-wide conversation: how should AI be used in pricing and where do we draw the line? Personalized pricing—where different people are charged different prices for the same product or service based on personal data—is more than controversial. It's exploitative. Why This Moment Matters There's a growing risk that public perception will start to treat all AI-powered pricing as suspect, simply because some approaches cross ethical lines or are misunderstood. That would be a mistake and a missed opportunity. Personalized pricing based on individual data points is just one (problematic) branch of AI pricing. We need to distinguish between exploitative personalization and market-driven dynamic pricing, before the entire category becomes unfairly discredited. AI has the potential to make pricing smarter, fairer, and more adaptive but only if we're clear about how it's being used. The Ethical Line: Personalized Pricing vs Market-Based Pricing Personalized pricing might sound innovative, but it crosses a dangerous line. By using personal data—like customer profiles, demographics, or income proxies—AI systems can charge people different amounts for the same service based solely on who they are. This erodes trust, undermines fairness, and introduces bias that's hard to detect, let alone correct. Worse, it treats the individual as a target for extraction, not a participant in a fair transaction. But AI doesn't need to work this way. There is a better path: pricing that adapts to changing market conditions, not personal identity. This is where Causal AI comes in. Enter Causal AI: Learning From Demand Causal AI represents a new class of machine learning that focuses not just on correlations but on cause and effect. In pricing, this means understanding how market-level demand changes in response to different pricing strategies. Instead of asking, What is this individual likely to pay?, dynamic AI-pricing asks What is this particular room on this night worth? It's similar to how the market dictates the price of gold, it's only worth what the market is willing to pay at a moment in time, but the entire market gets the same price at the same moment. This shift is profound and powerful because 1) It enables dynamic pricing that adjusts in real time to demand conditions. 2) It avoids using sensitive personal data, focusing instead on observable patterns in aggregated behavior. And 3) It is explainable, because causal models reveal the 'why' behind pricing decisions, not just the 'what.' In short, causal AI enables pricing strategies that are not only effective, but also ethical and accountable. Transparent Pricing Builds Trust—and Performs Better Causal AI doesn't just avoid the pitfalls of personalization. It offers tangible advantages: Greater transparency : Businesses can clearly articulate how and why prices are changing. : Businesses can clearly articulate how and why prices are changing. Fewer regulatory risks : Avoiding personal data sidesteps many emerging privacy and fairness concerns. : Avoiding personal data sidesteps many emerging privacy and fairness concerns. Better long-term outcomes: When customers trust the pricing process, they're more likely to return—and recommend. Dynamic pricing doesn't have to mean dynamic trust. With causal inference, businesses can adapt intelligently to real-world conditions without alienating their customers. A Call to the Industry This moment, sparked by growing public concern, is a chance for our industry to reset. Let's reject opaque personalization models in favor of methods that align with fairness, transparency, and trust. Let's embrace AI not as a black box that guesses willingness to pay, but as a tool to learn how markets respond to price, and to act accordingly. If we don't make this distinction now, we risk AI pricing being misunderstood and rejected wholesale by consumers, journalists, and policymakers alike. That would be a disservice to the real innovation happening in this space; innovation that can improve outcomes for businesses and customers alike without compromising ethics. Whether you're a hotelier, an airline, a retailer, or a technologist: if you're thinking about how to apply AI to pricing, start with this question: Am I learning from demand? Or am I profiling the customer? The difference matters more than ever. TakeUp ensures pricing is fair for both sides—maximizing what your property is worth in the market while aligning with what markets are willing to pay at any given moment. Visit to learn more. TakeUp is an AI-powered revenue optimization platform built for independent hospitality properties, including boutique hotels, inns, bed & breakfasts, and glamping retreats. By leveraging AI-driven insights and expert revenue strategists, TakeUp helps properties maximize revenue and save time, seamlessly integrating with leading property management systems to drive profitability and operational efficiency. For more information visit Kelly Campbell Marketing Director TakeUp View source

Will AI Make Hotel Websites Obsolete? Not Quite, but...
Will AI Make Hotel Websites Obsolete? Not Quite, but...

Hospitality Net

time04-08-2025

  • Hospitality Net

Will AI Make Hotel Websites Obsolete? Not Quite, but...

In my writings over the past decade, I have frequently returned to the notion that artificial intelligence is not merely an additional layer in the technological stack, but rather a reconfiguration of the Internet's ontological architecture. It redefines not only how we book, but also how we come to know, how we choose, and ultimately how we experience. AI is not simply the new interface, it is the new epistemology. And yet, in the face of this tectonic shift, the assertion that hotel websites are on the verge of obsolescence feels, at best, premature and, at worst, epistemologically superficial. Let me unpack that. Some years ago, I proposed that we were witnessing a transition from an HTML-based internet to a generative, semantic web; a post-indexed realm where large language models no longer retrieve content, but actively compose it. This is not a cosmetic enhancement of user experience. It is the dissolution of the interface itself. When I say that "AI is the new UI," it is not a rhetorical flourish, but a forecast grounded in the trajectory of computational cognition. In this emerging paradigm, the user journey is no longer mediated by drop-down menus or carousel sliders, but by intent inference, probabilistic reasoning, and neural prediction. Within this agentic ecosystem, AI agents will likely communicate directly with a hotel's CRS, PMS, or ARI endpoints through APIs, bypassing the traditional front-end entirely. And, truth to be told, platforms such as or Google have already positioned themselves as the primary substrates for these interactions, not because users consciously choose them over other options, but because synthetic agents prefer them. They are structured, annotated, schema-rich environments that are legible to machine intelligence. This preference is not incidental. In virtually every single test I've done with autonomous travel planning so far, agents consistently bypassed altogether, defaulting instead to OTAs. The reason is both simple and telling: Booking speaks machine. Your most likely, does not. But this does not mean the hotel website will vanish. Rather, it will mutate. The nostalgic vision of a potential guest arriving at your homepage, absorbing your brand narrative, exploring a meticulously (hopefully!) crafted UX, and being emotionally moved by persuasive copy still retains symbolic value within human-centric marketing, but it plays almost no role in the decision-making processes of synthetic agents. Agentic AI has no regard for the elegance of your serif fonts. What it seeks is structured rates, inventory metadata, cancellation policy logic, amenity taxonomies, and room categorization defined in schema. org-compliant JSON-LD. That is the syntax of its world. And that is precisely why the hotel website, while no longer a performative space, remains infrastructurally indispensable. The generative web still depends on anchors. It cannot synthesize meaning in a vacuum. It must hook into structured information that can be parsed, weighted, and recomposed. Those anchors (your ARI, your review aggregates, your canonical descriptions, your media repositories, your microdata, and, if you dare to innovate, your own autonomous hotel agent) are the raw material from which these models derive knowledge. And if you fail to provide them, the only handshake your property will offer is with the OTAs (and we all know the cost of that embrace). So no, hotel websites are not becoming obsolete. They are becoming invisible. If Max's question is whether websites, as we have traditionally known them, will disappear, then the answer is likely yes, and it may happen within this very decade. However, framed differently, one could argue that they will endure as repositories of structured truths, rather than as stages for aesthetic persuasion. The guest will not see your website, but their agent will inhabit it. The strategic imperative for hoteliers, therefore, is not to redesign websites for human eyes (or at least not as a first priority) but to reimagine them as machine-readable ecosystems. This means investing in composable architectures, headless CMSs, semantic data layers, and generative model optimization. In this light, the more pertinent question is not "Will AI make hotel websites obsolete?" but "What is the function of a hotel website in a world where AI sees on our behalf?" The answer, though stripped of glamour, is simple: to be visible to machines, to be interoperable, to serve as a semantic backbone in an increasingly agentic web. Not very poetic, I know. But, I'm afraid, also very true.

Izzatbek Mambetov has been appointed Front Office Manager at 25hours Hotel One Central in Dubai
Izzatbek Mambetov has been appointed Front Office Manager at 25hours Hotel One Central in Dubai

Hospitality Net

time01-08-2025

  • Hospitality Net

Izzatbek Mambetov has been appointed Front Office Manager at 25hours Hotel One Central in Dubai

25hours Hotel One Central has announced the appointment of Izzatbek Mambetov as front office manager. With a decade of hospitality experience and a proven track record in guest satisfaction, Mambetov steps into his new role ready to elevate the guest arrival experience. In his new role, Mambetov will oversee all guest-facing operations, champion a high-performance team culture and help reinforce 25hours Hotel One Central as one of the city's most welcoming and surprising places to check in and switch off. Mambetov joins the team from Radisson Blu Hotel Dubai Media City, where he held dual leadership roles as rooms division manager and previously front of house manager. Over his four-year tenure, he drove substantial improvements across guest satisfaction metrics, introduced new onboarding and feedback programs, led system migrations and helped push the property to regional performance highs — including increased Radisson Rewards enrolment and a leap in online reputation scores. His leadership was integral to the successful rollout of new systems such as EMMA and Fiori PMS, as well as initiatives that boosted F&B upselling revenue and public review scores on and TripAdvisor. Originally from Uzbekistan, Mambetov holds a Diploma in International Hospitality Management from the London School of Business & Finance in Singapore, where he also trained with Accor Hotels. He is fluent in English, Uzbek, and Russian and is known for his attention to detail, solution-focused mindset and people-first approach.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store