hivr.ai
AI sales engine for hotels and venues, automating meeting, group, and event sales workflows.
Website: https://www.hivr.ai/
Cover Block
PUBLIC
| Field | Value |
|---|---|
| Name | hivr.ai |
| Tagline | AI sales engine for hotels and venues, automating meeting, group, and event sales workflows [hivr.ai] |
| Headquarters | Freiburg, Germany [hivr.ai] |
| Founded | 2020 [hivr.ai] |
| Business model | SaaS |
| Industry | Other |
| Technology | AI / Machine Learning |
| Geography | Western Europe |
| Growth profile | Venture Scale |
| Founding team | Co-Founders (2) |
| Funding label | Undisclosed |
| Investors | Amadeus Ventures, S-Beteiligungsgesellschaft, Arise [Dealroom.co] [hivr.ai] |
Links
From the public record
- Website: https://www.hivr.ai/
- Jobs: https://www.hivr.ai/jobs
- About us: https://www.hivr.ai/de/about-us
The Short Version
PUBLIC hivr.ai builds AI software for hotels and venues to automate meeting, group, and event sales workflows, and it merits investor attention because strategic travel-tech capital has shown up before the company has disclosed a conventional financing story, suggesting category relevance beyond a standalone point solution [Amadeus, January 2025] [PhocusWire] [hivr.ai]. Founded in 2020 in Freiburg, the company traces its origin to a practical booking pain point identified by CEO Felix Undeutsch, then narrowed the wedge to a specific operational bottleneck: handling inbound group and event enquiries that often still move through fragmented, manual processes [hivr.ai] [Startups Magazine, February 2026].
The product case is straightforward on paper: hivr.ai says its agents capture, qualify, and respond to enquiries, write data into existing systems, generate quotes and proposals, and support voice-based intake for meeting and group sales, with integrations spanning channels such as Outlook, Cvent, Meetingselect, Meetago, and MICEportal [hivr.ai]. That differentiation is credible in theory because it targets a narrow workflow with measurable latency and labor costs, but most operating claims, including the stated scale of 2,000+ hotels and venues and customer uplift figures, remain company-sourced rather than independently verified [hivr.ai].
The founding team is one of the cleaner parts of the story. Undeutsch previously held travel and MICE roles at Expedia, according to TechRound, Meetings Today, and MICE Club, while co-founder Christian Graf von Kanitz-Kopsch is presented in public profiles as leading product development around automating hotel and venue RFP workflows [TechRound, July 2026] [meetingstoday.com] [mice-club.com] [blackforestspace.de].
On funding, public evidence supports an undisclosed investment from Amadeus Ventures announced in January 2025, with Crunchbase and Dealroom also listing venture backing, though without enough detail to map round sizing or valuation from public records [Amadeus, January 2025] [Crunchbase] [Dealroom.co]. The business model appears to be SaaS, sold into hospitality sales teams, and the near-term question is whether hivr.ai can convert strategic partnerships and named deployments such as Radisson-related work and the Edgbaston Stadium rollout into independently evidenced, repeatable enterprise adoption across large hotel groups and venues [Travel Market Life, November 2025] [edgbaston.com, 2026] [sportsvenuebusiness.com, February 2026].
Single-source, plausible -- Core company identity, founding year, founders, and Amadeus backing are corroborated across company, funding, and media sources, but product performance and scale claims rely materially on company-published evidence.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Business Model | SaaS |
| Industry / Vertical | Other |
| Technology Type | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Undisclosed |
The Company in Brief
PUBLIC
hivr.ai presents as a Freiburg, Germany based hospitality software company focused on a narrow but operationally important part of hotel demand capture: handling meeting, group, and event enquiries before they become bookings [hivr.ai]. The public record is thin on legal-entity detail, but the company website states that hivr.ai was founded in 2020, and Crunchbase also lists the business as a venture-backed software company in that period [hivr.ai] [Crunchbase].
The chronology that can be supported from core public records is straightforward. The company says it was founded in 2020 and built around automating meeting and group sales workflows for hotels and venues, while Crunchbase records an undisclosed venture financing history and lists investors including Amadeus Ventures, S-Beteiligungsgesellschaft, and Arise [hivr.ai] [Crunchbase]. A January 2025 investment entry appears on Dealroom, but because this section is limited to Crunchbase and company-site sourcing, the cleaner point is simply that hivr.ai had reached institutional backing by the time these profiles were updated [Crunchbase] [hivr.ai].
The company website also frames the business around augmenting hotel sales teams rather than replacing them, which is a useful clue to positioning even if it remains a company claim rather than an independently verified milestone [hivr.ai]. On the evidence available here, the notable milestones are founding in 2020, establishment in Freiburg, productization around meetings and groups sales automation, and the appearance of recognized travel-tech investors on public company profiles [hivr.ai] [Crunchbase].
Single-source, plausible -- Based on company website and Crunchbase, with chronology only partially corroborated by independent public records.
What They Have Built
MIXED
The product is narrow by design. hivr.ai positions itself as an AI sales engine for hotels and venues, focused on the meeting, group, and event-sales workflow rather than broader hotel operations [hivr.ai] [Startups Magazine, February 2026]. Public product descriptions say its agents capture and qualify enquiries, generate proposals, and automate related manual steps that typically sit between inbound demand and a confirmed booking [hivr.ai]. The company also says the software works alongside hotel sales teams rather than replacing relationship-led selling, which is an important distinction in a category where human follow-through still matters for larger or more complex events [hivr.ai].
The operating surface appears to span both digital and voice channels. On its website, hivr.ai says its AI agents can capture demand from multiple channels, write information into existing systems, build and price quotes, send proposals, confirm bookings, and help fill rooms [hivr.ai]. It also markets an AI voice agent that answers meeting and group calls around the clock and qualifies demand while the planner is still on the line [hivr.ai]. A named product, Alex AI, is described as processing enquiries from Outlook, Cvent, Meetingselect, Meetago, and MICEportal, and drawing on a knowledge base to answer less routine venue or destination questions [hivr.ai]. External coverage offers some limited corroboration on actual use cases: Edgbaston Stadium said hivr.ai's AI is being used to analyze event enquiries, identify those most ready to progress, and prioritize responses more consistently, while separate trade coverage described a live enquiry-handling trial with hivr.ai and iVvy [Sports Venue Business, February 2026] [FSM, Unknown].
The technical differentiation that can be supported publicly is workflow depth, not model novelty. Available materials show a system built around hospitality-specific lead intake, qualification, quoting, and response orchestration, with integrations into event-sales channels that hotel teams already use [hivr.ai]. There is no verified public evidence here for the underlying model stack, proprietary model training approach, or infrastructure choices, and no tech-stack inference can be made from the two open roles alone because the postings surfaced are generic proactive applications rather than role-specific engineering descriptions [hivr.ai].
Unconfirmed -- This section relies primarily on company website claims, with partial third-party corroboration for selected deployment behavior from Sports Venue Business and FSM.
Market Size and Demand
PUBLIC
The market matters now because hotels and venues are under pressure to answer meeting and group demand faster, while still routing complex enquiries through lean sales teams and legacy systems, a workflow gap that has become more visible as AI tooling moves from experimentation into line-of-business software [Travel Market Life, November 2025] [Amadeus Travel Tech Talk, July 2025].
Public evidence here is narrower than investors would usually want for a clean market model. There is no cited third-party TAM, SAM, or SOM specific to AI automation for hotel meeting and group sales in the materials reviewed, so sizing has to be approached through adjacent, analogous markets rather than asserted directly. The most defensible read is that hivr.ai sits at the intersection of hospitality software, meetings-and-events sales tooling, and applied AI workflow automation for inbound commercial operations [TechRound, July 2026] [Amadeus Travel Tech Talk, July 2025].
Demand drivers are easier to see than market size. The company and its public deployment materials consistently frame the problem as one of high enquiry volume, slow manual handling, and revenue leakage when response times slip, especially in meetings, groups, and events where qualification and proposal generation still involve repeated data entry across systems [hivr.ai] [sportsvenuebusiness.com, February 2026] [Travel Market Life, November 2025]. The Edgbaston Stadium references are only a single deployment, but they are directionally useful: one venue reported roughly 29,000 event enquiries a year and linked hivr.ai to faster prioritisation and automation of proposal workflows, which speaks to a large enough operational burden to justify software spend if the conversion lift is real [hivr.ai] [sportsvenuebusiness.com, February 2026].
The adjacent markets are also part of the story. hivr.ai is not selling into general hotel operations software in the broad PMS sense, nor into pure contact-center tooling alone. Its workflow overlaps with venue CRM, RFP management, event sales software, group booking tools, channel integrations, and, at the edge, AI voice and inbox automation for commercial teams [hivr.ai] [Amadeus Travel Tech Talk, July 2025]. That matters competitively because budget can come from several places: a revenue or commercial systems budget, a digital transformation line item, or replacement spend against existing meetings-and-events tooling.
Macro and regulatory forces cut both ways. On the supportive side, European hospitality operators continue to look for labor-saving software that preserves service quality, which fits hivr.ai's positioning around augmenting sales teams rather than replacing them outright [TechRound, July 2026] [hivr.ai]. On the constraining side, any AI system handling guest or planner communications in Europe has to live within a higher-trust procurement environment shaped by data protection obligations and rising scrutiny of AI-assisted decisioning, even if the reviewed sources do not specify hivr.ai's compliance posture in detail [Amadeus Travel Tech Talk, July 2025]. That does not negate demand, but it tends to lengthen enterprise sales cycles and raises the bar for integrations, auditability, and operational accuracy.
| Market frame | What the evidence supports | Source type |
|---|---|---|
| Core wedge | AI automation for meeting, group, and event sales workflows in hotels and venues | Company and publisher coverage |
| Analogous market 1 | Hospitality software digitization, especially revenue and sales workflow modernization | Analogous market, source: Amadeus Travel Tech Talk |
| Analogous market 2 | Meetings-and-events commercial operations software for hotel groups and venues | Analogous market, source: Travel Market Life |
| Substitute budget pools | CRM, venue sales software, RFP handling tools, AI voice/inbox automation | Company and publisher coverage |
The table underscores the central limitation of the public record: the category logic is clear, but hard third-party sizing is not. For investors, that shifts the question from headline TAM to whether the pain point is acute enough, frequent enough, and system-connected enough to produce durable software budgets in hospitality.
Single-source, plausible -- This section relies on a mix of named publisher coverage and company materials, with no independent third-party market sizing report in the reviewed sources.
Who Else Is Fighting for This
MIXED hivr.ai is not competing for all hotel software spend, it is competing for a narrower control point inside meetings, groups, and event sales, where response speed, proposal automation, and workflow integration matter more than broad property-management coverage [hivr.ai] [Crunchbase] [Dealroom.co].
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| hivr.ai | AI sales engine for hotels and venues focused on meeting, group, and event enquiries | Undisclosed strategic funding; Amadeus Ventures listed as investor | AI agents that capture, qualify, and respond to enquiries, generate proposals, and automate related workflows across channels | [hivr.ai] [Amadeus] [Dealroom.co] |
| MeetingBroker | Group sales and catering lead-management software for hospitality venues | Not included in provided research | Established category player named as a competitor in structured research | [Structured facts] |
| MeetingPackage | Venue and meeting booking software named in the company’s competitive set | Not included in provided research | Category focus on meetings and venue booking workflows | [Structured facts] |
| Event Temple | Hotel and venue sales CRM and event-management software named in the company’s competitive set | Not included in provided research | Sales and event workflow orientation for hotels and venues | [Structured facts] |
The competitive map breaks into three layers. Challengers are narrower automation vendors trying to sit on top of existing systems and remove manual work in qualification, routing, quoting, and proposal creation, which is where hivr.ai appears to be aiming based on its public product description and channel coverage claims [hivr.ai]. Adjacent substitutes include the internal combination of email, Outlook, phone handling, and sales staff triage that many properties still use, which matters because the real competitor is often not another startup but the hotel’s willingness to keep labor-heavy workflows in place [hivr.ai].
The edge hivr.ai can plausibly claim today is focus plus channel fit, not category breadth. Its public materials describe a system built around incoming MICE and group demand, including integrations or channel touchpoints spanning Outlook, Cvent, Meetingselect, Meetago, and MICEportal, which suggests the product is designed around the fragmented intake paths that hotel teams actually deal with rather than around a single front-door booking flow [hivr.ai]. The strategic link to Amadeus Ventures also matters as a distribution and credibility signal in hospitality technology, although the public record supports the existence of the relationship more clearly than its commercial effect [Amadeus] [PhocusWire] [Amadeus Travel Tech Talk, July 2025]. That edge is useful but perishable. Workflow automation can compound if hivr.ai is learning from a large volume of enquiries across 2,000-plus hotels and venues, as the company claims, yet that scale figure remains company-reported and the underlying data advantage would be difficult to assess without independent evidence on retention, customer mix, and integration depth [hivr.ai].
Exposure is easier to see than moat. MeetingBroker, MeetingPackage, and Event Temple each benefit from being understood first as systems of record or core workflow tools inside venue sales, whereas hivr.ai ai]. That can speed adoption because buyers do not need to rip out core systems, but it also limits control. If incumbents add comparable AI qualification, proposal drafting, or voice handling features into their own products, hivr.ai could find itself defending features rather than owning the primary customer relationship. The company is also exposed to a category boundary: it is tailored to meetings, groups, and event-sales workflows, so broader hotel software suites with stronger PMS, CRM, or reservation footprints can still control budget even if hivr.ai performs well in its niche [hivr.ai].
The most plausible 18-month scenario is a split market rather than a winner-take-all outcome. hivr.ai looks best positioned if hotels continue to prefer overlay tools that improve response times without replacing existing systems, especially where inbound enquiry volumes are high and the manual cost of triage is visible, as illustrated by the Edgbaston Stadium case study cited in company and trade coverage [hivr.ai] [sportsvenuebusiness.com, February 2026] [edgbaston.com, 2026]. In that case, hivr.ai is the winner if distribution through strategic partners and proof points at branded groups continue to shorten trust cycles. The loser if that consolidation logic takes hold is not necessarily a named incumbent, it is the standalone automation layer model itself, because hotels may accept slower product progress in exchange for vendor consolidation and lower integration overhead.
Inferred, not confirmed -- This section uses a mix of company materials, ecosystem listings, and structured competitor names. Core positioning for hivr.ai is supported by public company and investor sources, but comparative detail on named competitors in the provided research is limited and several material claims remain company-reported.
Opportunity
PUBLIC
The prize here is straightforward: if hivr.ai becomes the operating layer for meeting, group, and event sales across large hotel chains and major venues, it could sit inside one of hospitality's highest-friction revenue workflows at meaningful global scale [hivr.ai] [Travel Market Life, November 2025].
The headline opportunity is not a generic "AI for hospitality" story. It is a narrower and more investable claim, that hivr.ai could become the default workflow system for handling high-volume event and group enquiries, from first contact through qualification and proposal creation, in a segment where manual response speed appears to matter and where enterprise buyers already run complex, multi-channel intake [hivr.ai] [sportsvenuebusiness.com, February 2026]. That outcome is at least reachable on the public record because the company is aimed at a specific pain point, not a broad transformation mandate, and because there is some evidence of enterprise distribution forming around it: Amadeus Ventures has backed the business, Radisson executives have discussed a multi-year automation effort with the company, and Edgbaston Stadium has publicly described a live deployment or trial of AI-led enquiry handling in this exact workflow [Amadeus] [Travel Market Life, November 2025] [edgbaston.com, 2026] [fsm-online.co.uk].
The upside paths are easiest to understand as a small number of concrete expansion motions rather than one monolithic outcome.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Chain standardization | hivr.ai wins at the group level with large hotel brands, then rolls from selected properties into broader brand-wide deployment for meetings and events sales teams | Strategic backing from Amadeus Ventures and public evidence of work with Radisson Hotel Group create a route into enterprise hospitality decision-makers [Amadeus] [Travel Market Life, November 2025] | Hotel groups tend to prefer systems that can sit across multiple properties and normalize response workflows, and hivr.ai is positioned around that exact coordination problem [hivr.ai] |
| Channel hub for inbound demand | hivr.ai becomes the normalization layer for enquiries arriving through email, voice, and specialist MICE channels, then gains stickiness because it is already connected to where demand originates | The product publicly claims integrations or intake coverage across Outlook, Cvent, Meetingselect, Meetago, and MICEportal, plus a voice agent for calls [hivr.ai] | If buyers can centralize fragmented inbound demand in one workflow, switching costs can rise without hivr.ai needing to replace every core hotel system at once [hivr.ai] |
| Venue expansion beyond hotels | The company extends from hotels into stadiums and major venues, where enquiry complexity and value per booking can be high enough to justify automation quickly | Edgbaston Stadium has publicly described using hivr.ai for AI-driven enquiry handling and proposal prioritization, with disclosed enquiry volume and pipeline value tied to the process [edgbaston.com, 2026] [sportsvenuebusiness.com, February 2026] | A successful venue case broadens the addressable base from hotel meetings teams to adjacent event-heavy assets with similar workflow pain [sportsvenuebusiness.com, February 2026] |
What compounding looks like is operational rather than social. Each deployment can improve the product in at least three ways: more enquiry formats to parse, more proposal and qualification patterns to learn from, and deeper embedment in daily sales operations as teams trust the system with more of the path from intake to quote [hivr.ai]. The public record also suggests early signs of that compounding loop. hivr.ai says its agents already run meeting and group sales for 2,000+ hotels and venues, though that figure is company-reported, and its product surface has expanded from digital enquiry handling to voice-based intake, indicating an attempt to capture more of the workflow rather than a single-point feature [hivr.ai]. If that works, distribution can reinforce product quality: a partner such as Amadeus can open doors, enterprise deployments create domain-specific training data and implementation knowledge, and stronger workflow coverage can make the next rollout easier to justify [Amadeus] [Amadeus Travel Tech Talk, July 2025].
The size of the win is harder to benchmark cleanly because no credible public market sizing or direct public comparable was provided in the cited materials. Still, the disclosed customer-level signals show why investors may take the upside seriously. Edgbaston Stadium said it processes around 29,000 event enquiries a year and ties that flow to roughly $33 million in pipeline, while hivr.ai separately claims support for more than 2,000 hotels and venues and $2.5 billion-plus transacted through its systems, both company-supplied figures [hivr.ai]. If even a fraction of that footprint reflects recurring software usage inside large chains and venues, the business could plausibly grow into a strategic infrastructure asset for hospitality distribution and events sales, with enterprise-software value rather than point-solution value attached to it (scenario, not a forecast) [Amadeus] [Travel Market Life, November 2025]. The public evidence is not yet strong enough to put a defensible number on that outcome, but it is strong enough to frame the upside as more than a feature bet.
Unconfirmed -- This section relies materially on company-reported product and scale claims from hivr.ai, with partial external corroboration from Amadeus, Radisson-related podcast appearances, and venue deployment coverage.
Sources
From the public record
[hivr.ai] The AI Sales Engine for Meetings & Groups | https://www.hivr.ai/
[Dealroom.co] hivr.ai company information, funding & investors | https://app.dealroom.co/companies/hivr_ai
[Amadeus, January 2025] 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
[PhocusWire] Amadeus Ventures invests in meetings tech startup Hivr.ai | https://www.phocuswire.com/amadeus-ventures-investment-hivr-ai
[Startups Magazine, February 2026] I didn’t plan to start a company, I was trying to book a team offsite | https://startupsmagazine.co.uk/i-didnt-plan-to-start-a-company-i-was-trying-to-book-a-team-offsite
[TechRound, July 2026] Founder Of The Week: Felix Undeutsch | https://techround.co.uk/startups/founder-of-the-week-felix-undeutsch/
[Crunchbase] hivr.ai | https://www.crunchbase.com/organization/hivr-ai
[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
[edgbaston.com, 2026] Edgbaston Stadium becomes first UK venue to deploy AI driven enquiry handling, qualification and proposal automation | https://edgbaston.com/
[sportsvenuebusiness.com, February 2026] Edgbaston Stadium partners with hivr.ai to transform event enquiry handling with AI | https://sportsvenuebusiness.com/
[meetingstoday.com] Felix Undeutsch | https://www.meetingstoday.com/
[mice-club.com] Felix Undeutsch was Head of MICE & Groups at Expedia.com, overseeing the MICE platform "MeetingMarket" | https://mice-club.com/
[blackforestspace.de] Christian Graf von Kanitz-Kopsch | https://blackforestspace.de/speaker/christian-graf-von-kanitz-kopsch-kopsch/
[FSM] Edgbaston Stadium is trialling AI-powered live enquiry handling technology from hivr.ai and iVvy | https://www.fsm-online.co.uk/
[Amadeus Travel Tech Talk, July 2025] Transforming Hospitality with AI: Insights from Hivr.ai and Amadeus Ventures | https://podcasts.apple.com/gb/podcast/transforming-hospitality-with-ai-insights-from-hivr-ai/id1546177684?i=1000717533557
Articles about hivr.ai
- A German Startup Is Wiring AI Into the 81-Minute Event Proposal — The startup, backed by Amadeus Ventures, aims to capture and convert high-value hospitality leads that currently take sales teams days to process.