Quinta
Quinta is a hotel data platform built for AI search. It collects, structures and distributes 4,200 data points per property to OTAs, search engines and LLMs, and adds Velma, a 38-language AI booking assistant, to drive direct bookings.
What is Quinta?
Quinta, formerly Quicktext, is a hotel data management and distribution platform built for the age of AI, agentic AI and the Model Context Protocol. Its argument is blunt: without structured, synchronised data, a hotel becomes invisible in AI-generated answers.
The foundation is Q-Data, a structured repository holding 4,200 data points per property against the roughly 250 usually visible online: pool temperature, babysitter rates, car park height, EV charging points, allergens, wifi throughput, dress code. The data is organised into reservations, front desk, breakfast, services such as concierge, transport, pets and coworking, rooms and their equipment, hotel facilities including bar, restaurant, spa, pool and gym, local information and MICE.
Q-Channel pushes that repository outward. Q-Sync synchronises OTAs, agencies, tour operators, CRS, bed banks, GDS and metasearch engines with traceability and version control. Q-Share is a distribution API feeding the hotel website, CMS, app, kiosks and connected TVs, and it generates and maintains the property's Schema.org file. Q-MCP connects public and private LLMs straight to Q-Data.
Q-I is the orchestration engine, trained on millions of conversations since 2017. It reads intent, queries Q-Data in real time and runs 62 operational processes. Velma, presented as a fourth-generation AI booking assistant, works in 38 languages across Live Chat, Messenger, WhatsApp, WeChat, Instagram, Line, SMS, Google Assistant and Alexa, in three modes named Velma Works, Velma Knows and Velma Plays. As the homepage puts it, Velma doesn't talk. She collects information and converts.
Around that core sit Q-SEO, which generates and weekly refreshes multilingual, seasonal FAQs on the hotel site for both SEO and AEO; Q-Sales, which centralises Velma-generated leads through to booking with PDF and XLS reports by hotel, city, category and country; Q-Task, which assigns and tracks jobs from maintenance and laundry to babysitting, room service, taxis and restaurant reservations; and Q-Hub, Q-Automate and Q-Mail for unified messaging, SMS and WhatsApp concierge and email automation.
The claims are ambitious: $1.05 billion in booking leads over twelve months, 17x ROI, hotels in 76 countries, 96% recommendation on Hotel Tech Report, 11% more direct sales, 96 data and AI experts and support across 20 time zones in 10 languages. One internal inconsistency deserves a mention: the site advertises 4,200 data points, while its own llms.txt announces 3,700+.
What it does
- Collect and structure 4,200 data points per hotel in a single source of truth (Q-Data)
- Distribute that data to OTAs, GDS, metasearch, CRS, bed banks, the hotel website, CMS, app, kiosks and connected TVs (Q-Channel: Q-Sync, Q-Share, Q-MCP)
- Connect public and private large language models to hotel data through the Q-MCP protocol and A2A
- Generate and keep up to date multilingual FAQs on the hotel's own website (Q-SEO)
- Turn website visitors into qualified requests and direct bookings (Velma, Q-Sales)
- Translate guest requests into assigned operational tasks across 62 processes (Q-Task, Q-I)
- Automate pre-stay, in-stay and post-stay messaging over SMS, WhatsApp and email (Q-Automate, Q-Mail)
When to use Quinta / When not to
A quick filter to help you decide if Quinta is the right fit.
When to use Quinta
- Independent and boutique hotels that want to be found, trusted and booked through ChatGPT, Gemini, Perplexity or Grok
- International hotel groups and chains: Accor, Hyatt, H-Hotels, Highgate, Warwick, Palladium, Jaz, Precise and Santa Fe are named as clients
- Multi-property operators, thanks to native cross-property search and selection through Q-Brain+
- Hotel reservations and revenue teams whose priority is shifting volume from the OTAs back to direct channels
- Hotel marketing and operations teams that have to keep property information accurate and identical across dozens of distribution channels
When not to use Quinta
- Any business outside hospitality: the site documents no use case beyond hotels
- Buyers looking for a free plan or a free trial, since neither is published and the entry ticket is $299 per month
- Developers who want to assess the API before signing: no public documentation exists, and probes on /api/, /docs/ and /developers/ all return genuine 404s
- Very small properties on a tight budget, as pricing is indexed on the number of rooms with no published grid below the $299 floor
- Teams that expect self-service onboarding: the only way in is a demo request or a conversation with the sales team
How to use Quinta
A typical end-to-end flow, from setup to results.
- Request a demonstration through the "See Quinta in action!" button, which leads to the Learning Session page, or use the contact form
- Complete the demo form: name, hotel name, email, country, phone number and number of rooms; the contact form asks for name, email, company or hotel, message and country
- Discuss scope and pricing with the sales team, or write to the general address hello@quinta.im
- Connect the hotel's systems through Q-Connect: API or URL for booking engines, API or CSV for the PMS, API for CRM, in-stay, task management and content tools, plus Zapier and bespoke integrations
- Populate Q-Data, since the value of the platform depends on how completely the 4,200 data points are filled in for each property
- Deploy Velma on the hotel website and on the messaging channels the property already uses
- Let Q-SEO inject generated multilingual FAQs into the hotel's own site while Q-Share creates and maintains its Schema.org file
- Install the iOS or Android app for the team: it is a notification centre that alerts staff when Velma needs help, not the full platform, and a PDF user guide is published on the site
- Follow leads, conversions and operational tasks day to day in Q-Sales and Q-Task
- Reach support between 8am and 6pm UTC+1, by email or through one of the 14 city phone numbers listed on the contact page
Pros & Cons
Pros
- A single all-inclusive offer: the Premium plan bundles every module, with no module-by-module upselling
- Unusual data depth, 4,200 points per property against the roughly 250 normally exposed online
- Very broad connectivity, published by name: around 190 partners are listed, covering booking engines, PMS, CRM, task management, restaurant, upsell and contact centre tools
- Native MCP protocol, a rare position on this market at the date of collection
- Wide language coverage: 38 languages for Velma, 8 for the website, and support in 10 languages across 20 time zones
- Documented European hosting in the Netherlands on Azure and OVH, a claimed ISO/IEC 27001 ISMS, a detailed Trust Center and a subprocessor list published by name
- Track record and price transparency: on the market since 2017, blue-chip references named openly (Accor, Hyatt, Highgate, Warwick, Palladium, H-Hotels), 96% recommendation on Hotel Tech Report and a public entry price of $299 per month, which is rare in this segment
Cons
- No terms and conditions page at all: eleven paths were probed and every one returned a genuine 404 against a discriminating control
- No public API documentation, even though three APIs are sold (Q-Share, Q-BI and Q-Connect)
- No free trial and no free plan published, and a price expressed only as "from 299 $ per month, based on the number of rooms", with no detailed grid
- No customer data processing agreement published or mentioned, and no documented way to opt out of model training, although Q-I is presented as trained on millions of hotel conversations
- Visible rebranding debt: the English legal notice still names QUICKTEXT and quicktext.im while the French version of the same page is up to date, the header's social links still point at Quicktext accounts of which two are dead, and the legal notice itself is absent from the sitemap and from any navigation
- Mobile apps still published under the former Quicktext brand, with the last iOS update dating from September 2023
- Figures that do not agree and a certification that cannot be checked: 4,200 data points on the site against 3,700+ in llms.txt, and an ISO 27001 claim with neither a certificate number nor a named certification body
Pricing & Plans
Quinta publishes a single commercial offer, named Premium, starting at $299 per month per hotel, the final amount being indexed on the number of rooms ("Based on the number of rooms"). The figure is confirmed by two first-party sources, the pricing page and llms.txt, the latter stating: "Starting from $299/month per hotel. Includes all modules." The plan includes Q-Data, Q-Channel, Q-SEO, Q-Sales, Q-Task, Velma, Q-Connect, Q-Hub, Q-Automate, Q-Mail and the Q-BI API. Bespoke pricing and group packages are available on request through the contact form. No free plan, no free trial and no refund policy is published. Prices are quoted in US dollars, although the publisher is a French company.
- from $299 per month per hotel
- based on the number of rooms
- all modules included
- no public price
- available on request
Data, GDPR & hosting
A consolidated view of how Quinta handles your data.
GDPR overview
GDPR compliance is claimed explicitly: the Security and Compliance page and llms.txt both state that Quinta is GDPR Compliant. A Data Protection Officer is reachable at privacy@quinta.im and by post at Data Protection Officer, Quinta, 64 rue Jean-Pierre Timbaud, 75011 Paris, France. The privacy policy lists the rights of access, rectification, erasure, objection, restriction, portability, the right not to be subject to an automated decision and post-mortem directives, and names the CNIL, 3 place de Fontenoy, 75007 Paris, +33 1 53 73 22 22, as the supervisory authority. Retention periods are quantified per purpose, at one, three and five years, and a double-sided copy of an identity document is requested to exercise rights. No Article 27 representative is designated, which is consistent with a publisher established in France, and no customer-facing data processing agreement is published or announced.
Who owns the data?
The privacy policy published on the site covers the marketing website, not the hotel platform. For that perimeter Quinta names itself as the data controller, and collects visitors' first name, surname, business email, country, live-chat message content, IP address, host name and access time. Nothing is published about who owns or controls the hotel and guest data processed by the platform itself, and there is no terms and conditions page anywhere on the site: eleven candidate paths were probed and every one returned a genuine 404. A contractual answer on data ownership therefore has to be requested from Quinta directly, because the website does not provide one.
Reuse rights
For website visitors, the stated purposes are answering contact requests, maintaining a prospect and customer file for commercial prospecting, handling demo requests, managing rights requests and managing objections to prospecting. The legal bases invoked are consent, legitimate interest in the quality of the site's information, and the necessity of replying; access is restricted to the people who need it for the stated purpose. Hosting is on Microsoft Azure with servers in the Netherlands, and personal data is also transferred outside the EEA to a subcontractor in the United States under standard contractual clauses, although the published text truncates that company's name and reads only "notably LLC located in the United States". On the product side, Q-I is described as trained on millions of hotel conversations since 2017 and improved continuously through machine learning, with no opt-out mentioned. No document on the site grants the customer any right to reuse data beyond the service itself, since no terms and conditions are published.
Data retention & training
Hosting summary
Quinta states that its data is hosted on servers located in Europe, mainly in the Netherlands, through certified cloud providers such as Microsoft Azure, in compliance with the GDPR. OVH is named alongside Azure, with a guaranteed location inside the European Union. The marketing site itself is hosted by Microsoft France (Microsoft Azure), a SAS with 4,240,000 EUR of capital, Paris trade register 327 733 184, at 39 quai du President Roosevelt, 92130 Issy-les-Moulineaux. DNS resolution matches that picture: quinta.im resolves to 74.178.152.136, an Amsterdam address in the Netherlands on Microsoft's AS8075, with no anycast indicator. The published subprocessor list names OVH, Microsoft Azure, Microsoft 365, Atlassian, 360dialog, OpenAI and Twilio, each with its stated purpose. Personal data is also transferred outside the EEA to a subcontractor in the United States under standard contractual clauses. Announced security measures include SSO, encryption, firewalls, network segmentation, regular scans and audits, external penetration tests, logging, a secure development lifecycle, disaster recovery and business continuity plans, 24/7 monitoring, OTP authentication and cyber insurance.
Things to keep in mind
Risks and trade-offs to weigh before adopting Quinta.
- Corporate identity is presented inconsistently. The English legal notice is out of date and still names QUICKTEXT and the site https://www.quicktext.im, while the French version of the same page names Quinta and gives hello@quinta.im; both carry the same company number 488 865 619, the same 120,000 EUR of capital and the same Paris head office, and the privacy and cookie pages also say QUINTA. That legal notice is linked from no page and absent from the 217-URL sitemap.
- The age of the company is not the age of the product. The site claims "since 2017" and llms.txt says "Founded: 2017 (as Quicktext)", but the legal entity has been registered with the Paris trade register since 3 March 2006, first as HOTEL TELECOM, then THE COLOSSAL FACTORY, then Quicktext SAS in 2020 and finally QUINTA in 2026. The company start date shown on this listing is the entity's, not the product's.
- Dead links sit in the site header itself: it still points to twitter.com/quicktextai and youtube.com/@quicktextai, both verified as 404. Only the footer links are live, namely LinkedIn quintadata, Instagram velmatravelstheworld, X quinta_ai and YouTube @quintaai.
- The mobile apps are genuine and verified, but published under the old brand "Quicktext & Velma" with the bundle identifier com.colossalfactory.quicktext, an App Store seller shown as Satoripop, a company founded by Quinta's chairman Daniel Doppler, and a last iOS update dated 13 September 2023.
- Published figures do not always agree. The site advertises 4,200 data points while its own llms.txt says 3,700+. Headcount is announced at 96 experts, LinkedIn shows 67 employees, and the French statistical register recorded a 2023 band of 6 to 9 employees for the legal entity. Every commercial metric quoted ($1.05 billion in leads, 17x ROI, 11% more direct sales, 96% recommendation) is self-declared and cannot be verified independently.
- ISO/IEC 27001 is claimed consistently in three first-party places but with no certificate number and no named certification body, so it should not be read as verified. In the same vein, the privacy policy names a US subcontractor only partially: the published sentence reads "notably LLC located in the United States", with the company name missing.
- No terms and conditions exist on the site, eleven paths having been probed and all returning genuine 404s, and Q-I is described as "trained on millions of hotel conversations across thousands of properties since 2017" with "continuous improvement via machine learning" without the site ever saying whether a given customer's data feeds that training or how to withdraw from it. Since Velma converses directly with guests in 38 languages and Q-I runs 62 operational processes, the hotel remains the only party in a position to check what is said and done in its name.
Setup & Integrations
Technical difficulty
Moderate, and mostly non-technical. There is no self-service sign-up: onboarding runs through a demonstration then a guided commercial process. Q-Connect handles the plumbing, with API or URL for booking engines, API or CSV for the PMS, API for CRM, in-stay, task and content tools, plus Zapier and custom integrations, and around 190 named connectors limit bespoke development in common cases. Q-SEO injects FAQs into the hotel site and Q-Share maintains its Schema.org file. The heaviest effort is editorial: filling 4,200 data points per property. No public technical documentation exists to prepare an integration; support runs 8am to 6pm UTC+1.
Deployment
Apps stores
Integrations
Supported languages
Behind Quinta
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
What is Quinta?
How much does Quinta cost?
Is there a free trial or a free plan?
Who is Velma?
What is Q-MCP?
Where is the data hosted?
Is Quinta certified?
Does Quinta offer an API?
Are there mobile apps?
What systems does Quinta connect to?
Should you pick Quinta?
Quinta positions itself less as one more hotel chatbot than as data infrastructure. Its thesis, that a property with incomplete or unsynchronised data disappears from AI-generated answers, is coherent, and the architecture follows it: a 4,200-point repository, a distribution layer reaching OTAs, GDS, metasearch and now large language models through a native MCP connector, and a conversational layer, Velma, sitting on top rather than at the centre.
The maturity signals are real. The product has been on the market since 2017, the partners page names around 190 integrations, the client list includes international groups such as Accor, Hyatt, Highgate, Warwick, Palladium and H-Hotels, and the security page publishes a named subprocessor list alongside a claimed ISO/IEC 27001 certification. Pricing is unusually transparent for this market: one all-inclusive Premium plan from $299 per month, indexed on the number of rooms.
The blind spots are just as real. There is no terms and conditions page, no public API documentation despite three APIs being sold, no customer DPA, and no published way to keep a property's data out of model training even though Q-I is described as trained on millions of hotel conversations. Traces of the Quicktext to Quinta rebranding remain visible: the English legal notice still names the old company and domain, two header social links are dead, and the mobile apps are still listed under the former brand with a last iOS update from September 2023.
For a hotel or a group that already knows it needs to be machine-readable, Quinta is a credible and unusually specific answer, and its entry price is public. Anyone with a legal or procurement review to pass should plan on obtaining the contractual documents, terms, DPA, training policy and ISO certificate, from the vendor directly, because the website does not publish them.
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