The average event enquiry for a hotel or stadium takes 81 minutes of a salesperson's time, spread across up to four days [hivr.ai, Unknown]. It is a workflow of manual data entry, calendar checking, and proposal drafting, repeated thousands of times a year. For a venue like Edgbaston Stadium, which fields roughly 29,000 such enquiries annually, that represents a pipeline worth about $33 million and a significant operational bottleneck [hivr.ai, Unknown].
Hivr.ai, a startup out of Freiburg, Germany, is betting that this specific, high-volume process is ripe for automation. Its AI agents are designed to capture, qualify, and respond to meeting and group sales enquiries, aiming to work alongside hotel teams rather than replace them [hivr.ai, Unknown]. The company reports its systems have supported over $2.5 billion transacted across more than 2,000 hotels and venues [hivr.ai, Unknown].
The workflow wedge
Hivr.ai's product is not a general-purpose customer service chatbot. It is a narrow wedge into the complex, high-stakes world of meetings, incentives, conferences, and events (MICE) sales. The platform, which includes a voice agent named Alex AI, intercepts enquiries from channels like email, Cvent, and dedicated MICE portals [hivr.ai, Unknown]. It qualifies the lead by asking questions while the planner is on the line, writes the data into a hotel's existing systems, and can generate a priced proposal.
The technical claim is one of integration and context. Alex AI is said to draw from a comprehensive knowledge base to answer detailed questions about a venue's amenities or local attractions, a task that typically requires human expertise [hivr.ai, Unknown]. For Edgbaston Stadium, a reported early adopter in the UK, the system saves about four minutes of manual entry per enquiry and prioritizes responses to the most promising leads [hivr.ai, Unknown] [sportsvenuebusiness.com, February 2026].
Founder pedigree and strategic backing
The founders bring direct category experience. CEO Felix Undeutsch previously led the MICE and groups division at Expedia, overseeing the group's MeetingMarket platform [TechRound, July 2026]. His co-founder, Christian Graf von Kanitz-Kopsch, focuses on product development for scalable SaaS solutions in this space [blackforestspace.de, Unknown]. This background in travel technology, rather than generic AI, informs the product's focus on a known, painful workflow.
Their traction attracted a strategic investor in Amadeus Ventures, the investment arm of the travel technology giant [Amadeus, Unknown]. While the amount remains undisclosed, the partnership signals validation from a key player in hotel distribution and IT. The company has also partnered with major hotel groups, including Radisson Hotel Group, on multi-year automation projects [Travel Market Life, November 2025].
| Founder | Role | Relevant Background |
|---|---|---|
| Felix Undeutsch | CEO & Co-Founder | Former Head of MICE & Groups at Expedia [TechRound, July 2026] |
| Christian Graf von Kanitz-Kopsch | Co-Founder & Product | Focus on scalable SaaS for hotel RFP automation [blackforestspace.de, Unknown] |
The scale of claimed impact
Customer metrics published by hivr.ai point to significant efficiency gains, though they are self-reported. Beyond the Edgbaston case, the company claims its customers have seen a 70% increase in revenue growth, a doubling of conversion rates, and a 100% response rate to enquiries [hivr.ai, Unknown]. The core value proposition is speed and consistency: ensuring no lead is missed and that the most qualified opportunities move fastest through the funnel.
The 2,000-venue footprint suggests a land-and-expand motion, likely starting with individual properties or groups before scaling. The open roles for sales and engineering on its website indicate an active push to grow that footprint further [hivr.ai, Unknown].
Where the automation could falter
Automating high-value sales conversations carries inherent technical and adoption risks. The system's effectiveness depends entirely on the quality of its training data and its ability to handle edge cases,unusual event requests, complex contractual terms, or nuanced negotiations that require human intuition.
- Integration depth. smooth operation requires deep, reliable integrations with a hotel's property management system, sales and catering software, and pricing engines. Any break in that chain forces manual work back onto the team, negating the promised efficiency.
- AI trust deficit. Sales directors may be reluctant to cede control of a revenue-critical process to an AI, especially for large, complex group bookings. The platform's design as an assistant is crucial, but overcoming skepticism in a relationship-driven industry is a non-technical hurdle.
- Competitive response. Established players like MeetingBroker and Cvent have their own automation roadmaps. Hivr.ai's first-mover advantage in AI-specific agent technology could be eroded if larger platforms decide to build or buy similar capabilities.
The technical breakdown is straightforward: success hinges on the AI's accuracy in qualification and its flawless handoff to human agents for the final, relationship-driven close. A misqualified lead or a botched proposal undermines the entire value proposition.
At scale, the failure mode isn't a total collapse but a gradual erosion of trust. If the AI consistently passes too many low-quality leads to humans or fails on a small percentage of high-value ones, hotel teams will bypass it, relegating the technology to a cost center rather than the revenue engine it aims to be. The bet is that the efficiency gains on the 95% of routine enquiries will outweigh the cost of managing the 5% of exceptions.
The next twelve months
The coming year will test hivr.ai's scalability beyond early adopters. Key milestones to watch include an expansion of its partnership with Amadeus, potential disclosure of a formal funding round, and whether it can convert its 2,000-venue footprint into a standardized, enterprise-ready platform for global hotel chains. The company's ability to move from processing enquiries to directly influencing closed-won revenue will determine its next valuation.
Sources
- [hivr.ai, Unknown] The AI Sales Engine for Meetings & Groups | https://www.hivr.ai/
- [TechRound, July 2026] Founder Of The Week: Felix Undeutsch | https://techround.co.uk/startups/founder-of-the-week-felix-undeutsch/
- [Amadeus, Unknown] Amadeus Strengthens Commitment to AI Innovation in Hospitality with hivr.ai | https://amadeus.com/en/newsroom/press-releases/amadeus-commitment-to-ai-innovation-in-hospitality-with-hivr
- [sportsvenuebusiness.com, February 2026] Edgbaston Stadium uses hivr.ai's AI to analyze incoming event enquiries | Source snippet
- [Travel Market Life, November 2025] Automating Meetings & Events at Radisson Hotel Group | https://podcasts.apple.com/gb/podcast/automating-meetings-events-at-radisson-hotel-group/id1509755017?i=1000738045494
- [blackforestspace.de, Unknown] Christian Graf von Kanitz-Kopsch speaker profile | https://blackforestspace.de/speaker/christian-graf-von-kanitz-kopsch-kopsch/
- [edgbaston.com, 2026] Edgbaston Stadium is the first UK venue to deploy AI-driven enquiry handling | Source snippet