About
Quinta is a comprehensive hotel data platform purpose-built for the AI era. Formerly known as Quicktext, Quinta helps hotels become visible, trusted, and bookable across AI-powered search engines, agents, and discovery platforms. The platform centers on a suite of interconnected products: Q-Data structures and continuously updates 3,700+ data points per hotel into a single trusted source of truth; Q-Channel distributes that data across all digital channels and AI environments; Q-SEO auto-generates multilingual, structured FAQs on the hotel's website aligned with real guest queries to boost SEO and AEO; Q-Sales centralizes all leads from Velma into one hub and tracks conversion to bookings; and Q-Task coordinates and assigns guest requests internally. Velma, Quinta's AI virtual assistant, handles guest communication in 38 native languages and drives measurable booking revenue. Hotels using the platform report an average ROI of 17x and over $1.05 billion in booking leads generated in the last 12 months. Quinta is trusted by global hospitality brands including Sofitel Fiji, Warwick Hotels & Resorts, Palladium Hotel Group, and The Morgan Hotel. It is ideal for independent hotels and multi-property groups looking to compete in AI-first search environments and increase direct bookings.
Key Features
- Q-Data: Structured Hotel Data at Scale: Collects, qualifies, and continuously updates 3,700+ data points per hotel into a single trusted source of truth readable by AI engines and booking agents.
- Q-Channel: AI-Era Data Distribution: Synchronizes and distributes hotel data across all digital channels, third-party platforms, and public/private AI environments to ensure consistency everywhere AI searches.
- Q-SEO: Automated Multilingual FAQ Generation: Automatically generates and updates structured, multilingual FAQs on the hotel website based on real guest questions, boosting SEO, AEO, and AI discoverability.
- Velma AI Virtual Assistant: An AI-powered conversational assistant that handles guest inquiries, captures leads, and supports direct bookings in 38 native languages.
- Q-Sales: Lead Tracking & Conversion: Centralizes all leads generated by Velma, tracks them from first contact to confirmed booking, and provides full performance and ROI visibility.
Use Cases
- A luxury resort uses Q-Data and Q-Channel to ensure its property details are accurately represented across AI travel agents and booking platforms, increasing AI-driven discovery.
- A multi-property hotel group deploys Velma to handle guest inquiries 24/7 in multiple languages, capturing leads and routing bookings without additional staff overhead.
- An independent hotel uses Q-SEO to automatically publish structured, multilingual FAQs on its website, improving its ranking in both traditional search and AI-powered search engines.
- A hotel revenue team uses Q-Sales to track every lead from Velma through to confirmed booking, measuring conversion rates and demonstrating AI ROI to management.
- A resort operations team uses Q-Task to assign and track guest service requests handled by Velma, streamlining internal workflows and improving response times.
Pros
- Proven ROI: Hotels report an average 17x return on investment, with over $1.05 billion in booking leads generated in the past 12 months.
- AI-First Architecture: Built specifically for AI search and discovery, ensuring hotels are accurately understood and ranked by modern AI engines and agents.
- Multilingual Global Support: Velma and Q-SEO support 38 native languages, making the platform suitable for international hotel brands and diverse guest audiences.
- End-to-End Data Lifecycle: Covers everything from data collection and structuring to distribution, lead capture, and operational task management in one integrated platform.
Cons
- Hospitality-Specific: Quinta is purpose-built for hotels, making it unsuitable for businesses outside the hospitality sector.
- Enterprise Pricing: As a premium platform targeting hotel groups and resorts, pricing may be a barrier for very small independent properties.
- Implementation Complexity: With multiple interconnected products (Q-Data, Q-Channel, Q-SEO, Q-Sales, Q-Task), onboarding may require significant setup and integration effort.
Frequently Asked Questions
What is Quinta and how is it different from Quicktext?
Quinta is the rebranded version of Quicktext, evolved into a full hotel data platform. While Quicktext focused primarily on AI chatbots for hotels, Quinta now covers the entire data lifecycle — from collection and structuring to distribution, SEO, and sales tracking — specifically designed for the AI search era.
What is Q-Data and why does it matter for hotels?
Q-Data structures and maintains 3,700+ data points per hotel — the most comprehensive in the industry — into a single trusted source of truth. This ensures that AI engines and agents can accurately understand, compare, and recommend a hotel when guests are searching.
How does Velma help increase direct bookings?
Velma is Quinta's AI virtual assistant that engages guests via chat, answers questions in 38 languages, captures high-value leads, and can complete bookings directly or hand off to the sales team, all tracked through Q-Sales for full ROI visibility.
Which types of hotels use Quinta?
Quinta is used by independent hotels, luxury resorts, and multi-property hotel groups worldwide, including clients like Sofitel Fiji, Warwick Hotels & Resorts, Palladium Hotel Group, and The Morgan Hotel in Dublin.
Does Quinta support multiple languages?
Yes. Quinta's AI assistant Velma and its Q-SEO content generation support 38 native languages, enabling hotels to communicate with and attract international guests effectively.
