Duve currently publishes per-room pricing: Basic at EUR 5 per room monthly with a EUR 100 minimum, Pro at EUR 6.50 with a EUR 130 minimum, and Premium at EUR 9 with a EUR 180 minimum. A EUR 600 one-time onboarding fee also applies (Duve package page).

What does Quicktext (now Quinta) cost?

Quinta does not publish a rate card; pricing is quote-based by products and property scope (Quinta product overview). The public site frames the platform around Q-Data, Q-Channel, Q-SEO, Q-Sales, Q-Task, and the Velma assistant rather than legacy Quicktext packages.

Are there other platforms worth shortlisting alongside?

Per editorial policy on this site, branded comparisons name Guestivo as one of three honest alternatives to consider alongside the two platforms above when the category fits. Check-in-heavy evaluations that require payment authorization, two-way PMS write-back, or mobile-key issuance should favour vendors verified for those exact workflows.

Head-to-head · 2026

Duve vs Quicktext (now Quinta)

Operators evaluating Duve vs Quicktext are typically choosing between a branded-guest-app platform (Duve) and a multilingual-AI-concierge specialist (Quicktext). The decision usually hinges on app-led identity versus multilingual depth.

Which wins for what

Duve wins for properties where the branded browser guest app and full post-booking journey are central. Quinta wins when its 38-language AI assistant, 3,700-field hotel-data model, and connections across booking, PMS, CRM, task, and discovery surfaces outweigh a stay-app-led experience.

Decision guide: where the operating models split

These are not interchangeable skins on the same product. Use the hotel's adoption plan, workflow map, and pilot economics to choose.

How the guest enters the workflow

Duve: Guests enter through a branded browser guest app or an online check-in link. The normal guest app needs no app-store download, while Duve documents that its newer digital-key flow can require the native app.

Quicktext (now Quinta): Guests use Velma through live chat and supported messaging or social channels. Behind the conversation, Quinta emphasizes a structured hotel-data layer that can also feed search and other AI discovery surfaces.

Buying implication: Duve gives booked guests a branded journey destination. Quinta uses Velma and structured hotel data across conversational, booking, task, and discovery surfaces.

Which operating job owns the business case

Duve: The product joins online check-in, guest-app content, messaging, mobile ordering, upsells, and digital-key options. That breadth makes ownership across front desk, revenue, marketing, and operations part of the implementation.

Quicktext (now Quinta): Quinta documents 3,700 structured hotel data points, 38 languages, more than 100 booking-engine connections, 50-plus PMS connections, and 30-plus CRM links, alongside booking, task, advertising, and website-personalization modules.

Buying implication: Duve needs journey and operations ownership. Quinta needs ecommerce plus a data steward who can maintain thousands of hotel facts and resolve conflicts across connected systems.

What the commercial comparison must include

Duve: Duve currently publishes per-room pricing of EUR 5 for Basic, EUR 6.50 for Pro, and EUR 9 for Premium, with monthly minimums of EUR 100, EUR 130, and EUR 180 plus a EUR 600 onboarding fee.

Quicktext (now Quinta): Quinta is quote-based. A decision-ready quote should list the selected Q-Data, Velma, Q-Sales, Q-Task, Q-AD, or Q-Dynamic modules, properties, languages, channels, connectors, onboarding, and ongoing data-governance work.

Buying implication: Compare Duve's published room tiers and onboarding with Quinta's selected modules, properties, languages, channels, connectors, implementation, and ongoing data work.

How to run a fair pilot

Duve: Track online-check-in completion, minutes of staff work per reservation, guest-app opens, message handoffs, accepted upsells, payment exceptions, and any digital-key path that moves a guest from browser to native app.

Quicktext (now Quinta): Audit a fixed set of hotel facts before launch, then track answer correctness, booking handoffs, lead capture, task routing, unresolved data conflicts, staff takeover, and visibility of the same facts across chat and search surfaces.

Buying implication: Pilot the same policies and booking facts. Add journey completion and app use for Duve, then cross-surface answer consistency, booking handoff, and data correction time for Quinta.

Duve

Positioning: Guest-experience platform covering the full journey: pre-arrival upselling, online check-in, in-stay messaging via SMS and WhatsApp, and a branded browser guest app. Sits on top of the PMS, not next to it.

Best for: Independent and group hotels (20 to 200 rooms) that want a single guest-journey vendor with a polished branded browser app and proven multi-channel messaging. Strong fit for properties with significant repeat or direct-booking volume that benefits from a branded mobile experience.

Weaker at: Properties on the smallest end where the EUR 100 monthly minimum plus EUR 600 onboarding compresses the economics, and operations that want the AI concierge to lead the workflow rather than the app and messaging hub.

Quicktext (now Quinta)

Positioning: Quinta (formerly Quicktext) combines structured hotel-data distribution and AI-search visibility with Velma, a 38-language hotel AI assistant for direct booking and guest service.

Best for: Hotels and groups that want one verified hotel-data layer feeding search, AI systems, direct-booking assistance, and guest service. Velma supports 38 languages across web and messaging channels.

Weaker at: Properties whose primary need is online check-in or branded guest app polish, where Quinta leaves those workflows lighter than Duve or Canary, and operations evaluating in-chat booking conversion at the level Asksuite delivers.

Feature matrix

Capability	Duve	Quicktext (now Quinta)
Automated pre-arrival messaging	native	native
Online check-in	native	partial
Branded guest app	browser app; native app for some digital-key flows	-
In-stay guest messaging	native	native
AI concierge	partial	native
Upsell engine	addon	partial
Post-stay review collection	native	partial
Guest segmentation / CRM-lite	native	-
PMS integrations	100+ integrations	integration-dependent; verify exact PMS
Guest-facing languages	multi	-
Pricing model	tier with monthly minimum + add-ons	quote-based by product and property scope
Omnichannel inbox (web, social, messaging apps)	-	native
Multilingual reach	-	38 native languages
WhatsApp messaging	-	native

Duve pricing

Basic: EUR 5/room/month (EUR 100 monthly minimum; online check-in and guest app) source
Pro: EUR 6.50/room/month (EUR 130 monthly minimum; adds communication suite) source
Premium: EUR 9/room/month (EUR 180 monthly minimum; adds upsells) source
Onboarding: EUR 600 one-time (published onboarding fee) source

Quicktext (now Quinta) pricing

Quinta platform: Quote-based (product and property scope determine quote) source
Velma AI assistant: Quote-based (38 native languages documented) source

Evidence and proposal checks

Vendor-published scale and outcome claims are useful screening evidence, not a guaranteed forecast for a specific hotel.

Duve: evidence to verify

Duve reports more than 2,000 customers, 100-plus integrations, and vendor-measured check-in and revenue outcomes. Treat those figures as screening evidence. Ask for the exact product tier, PMS, hotel segment, measurement window, and denominator behind any proposal benchmark.

Source: Duve product and public package page →

Quinta (formerly Quicktext): evidence to verify

Quinta's product page currently states 38 languages, not the older 100-plus-language claim previously used on these comparisons. It separately lists more than 100 booking engines and 50-plus PMS connections, which are integration counts rather than languages.

Source: Quinta Velma hotel chatbot →

Where a naive evaluation fails

Failure: The old page repeated a 100-plus-language claim for Quicktext. Quinta currently documents 38 languages; its 100-plus number describes booking-engine integrations. That unit error distorts a multilingual buying decision.

Working fix: Create separate rows for languages, data fields, booking engines, PMS, CRM, channels, and modules. Test the property's actual languages and update one policy mid-pilot to expose governance delay.

Measurement rule: Duve should move guest-app engagement, check-in completion, staff time, and accepted offers. Quinta should move answer correctness, booking handoff, task routing, and consistency after a hotel-fact change.

Balance Rule footer

Per editorial policy, branded comparisons on this site mention three-plus honest alternatives in any category where Guestivo competes. Beyond Duve and Quicktext (now Quinta), operators evaluating this category often also shortlist:

Compiled by Maciej Dudziak, founder of Guestivo. Editorial disclosure on every comparison page: Guestivo is the publisher\'s product but does not appear in the headline matrix on Duve vs Quicktext (now Quinta) pages because those queries are between two other named platforms.