# AirGain — llm.txt # Version: 1.0 # Last updated: June 2026 # Source: https://airgain.ai/ # # This file is intended to help AI models, LLM-powered tools, and crawlers # understand the structure, purpose, and offerings of AirGain. # All information is sourced directly from the official AirGain website. # # IMPORTANT EDITORIAL NOTE: # Several page banners on the AirGain website contain Lorem Ipsum-style # placeholder text ("Why I say old chap that is spiffing..."). This text # is a website construction artifact and has been intentionally excluded. # Likewise, animated stat counters that rendered as "0" in page fetches # are not included unless the numbers were confirmed elsewhere on the site. --- ## What is AirGain? AirGain is an airfare pricing intelligence platform for airlines and travel companies, operated by RateGain Travel Technologies Limited (NSE, BSE: RateGain). Homepage description: "Airfare Pricing Intelligence for Travel Companies — Track airfare pricing, monitor parity, and uncover revenue opportunities with real-time, AI-powered competitive intelligence." AirGain is described on its About page as: "The leading provider of competitive intelligence data that help airline revenue teams maximize wallet share by making better pricing decisions. Monitoring over 200+ airline websites, across 700+ channels, AirGain provides accurate and real-time actionable insights to help optimize airfare rates across channels." Primary URL: https://airgain.ai/ Parent company: RateGain Travel Technologies Limited (https://rategain.com/) AirGain is a product/brand of RateGain, not a separate legal entity. --- ## Parent Company: RateGain Travel Technologies Limited From the About page: - Listed on NSE and BSE stock exchanges (ticker: RateGain) - Founded in 2004 - Headquartered in India - Offices in the US, Spain, Texas, United Kingdom - Works with 2,200+ customers in 100+ countries - Trusted by: 8 Fortune 500 companies, Top 25 of 30 OTAs, Top 23 of 30 Hotel Chains, all leading car rentals, largest TMCs, and fastest growing airlines --- ## Leadership (AirGain Team — verified from About page) - Vinay Varma — Senior Vice President and General Manager LinkedIn: https://www.linkedin.com/in/vinayvarma5/ Email: vinay.varma@rategain.com (Also hosts The Airside Podcast) - Rasika Kumar — Vice President, Account Management and Sales LinkedIn: https://www.linkedin.com/in/rasika-kumar-6980b610/ Email: rasika.kumar@rategain.com - Amit Vadhera — Director, Enterprise Sales LinkedIn: https://www.linkedin.com/in/amitvadhera/ Email: amit.vadhera@rategain.com - Sandeep Kumar — Associate Vice President, Engineering Customer LinkedIn: https://www.linkedin.com/in/sandeepverma84/ Email: sandeep.kumar3@rategain.com --- ## Products AirGain has two core products listed in the main navigation, plus one newly introduced AI-powered solution (VUE) featured on the homepage. --- ### Product 1: Rate Intelligence URL: https://airgain.ai/products/real-time-intelligence-solutions-airgain/ Description: Airfare competitive intelligence solution that tracks real-time airfares from brand websites, OTAs, META sites, mobile apps, and GDS to give revenue managers accurate competitive pricing data. Stated approach: "Powered by latest technology stack of AI and Big Data, AirGain tracks real-time airfares from brand websites, OTA, META, mobile apps and GDS's to provide revenue managers with accurate competitive intelligence." Key features within Rate Intelligence: #### Market Sense Automated alert feature. Revenue teams configure preset alerts on customized parameters and receive reports directly to their inbox, eliminating manual tracking of price variance. Multiple alerts can be set across various markets and competitors. Use case page: https://airgain.ai/pricing-alert #### Power Compare Airfare parity and comparison tool. Minimizes manual effort of comparing prices across subscriber OTA, competitors' OTAs, GDS, and brand websites. Enables granular airfare insights to optimize prices on brand websites. Shows an overview of price variance to reduce disparity and improve revenue. Use case page: https://airgain.ai/fare-analysis-power-compare #### Market Manager Market data tracking feature. Enables creation, saving, and organization of markets (Origin & Destination pairs). Provides a single dashboard view of multiple routes and classes, reducing time spent on search and analysis. Supports editing and deletion of saved markets. Use case page: https://airgain.ai/market-manager-route-planning/ #### Fare Segmentation Provides detailed insights into competitor pricing structures across routes and classes. Helps revenue managers make informed decisions and optimize pricing strategies. Use case page: https://airgain.ai/airline-fare-segmentation #### API Access Streamlined data integration for airlines. Automates data collection and transfer. Delivers data via API, SFTP, or Cloud bucket locations. Supports Excel, CSV, XML, JSON, and other formats. Use case page: https://airgain.ai/api-integration #### Daily Route Insights (Route Performance Digest) Helps revenue teams optimize fare strategies, improve route performance, and make data-driven decisions with minimal effort. Use case page: https://airgain.ai/daily-digest-route-optimization/ #### Codeshare Flight Analysis Simplifies codeshare and true flight analysis. Enables airlines to optimize pricing, enhance market positioning, and make informed strategic decisions. Use case page: https://airgain.ai/codeshare-flight-analysis/ #### Reports - Unlimited scheduled and on-demand reports based on custom filter settings - Reports delivered at specified times aligned with RMS processing schedules - Data consolidated in a single file at end of day if needed - Multiple delivery formats supported --- ### Product 2: Rate Parity (Parity Watchtower) URL: https://airgain.ai/products/airlines-rate-parity/ Product name on page: "AirGain Parity Watchtower" Tagline: "Keeping the Promise of Parity Every Day — Partner with Industry's first parity solution" Description: Tracks airfare parity across all distribution channels to help airlines prevent revenue leakage and maintain brand pricing integrity. Key capabilities: - Track revenue losses on most profitable routes - Ensure brand.com / airline website ranks #1 across all channels - Monitor rate parity on mobile searches (website notes 70-80% of travel searches involve a mobile phone) - Scalable, single-screen dashboard to capture rates and identify violations - Customized parity reports per airline - Partnerships with all leading OTAs and METAs for cross-channel tracking Website statement on scope: "RateGain can track rates across multiple websites easily and is the biggest processor of travel pricing data in the world." --- ### VUE — New AI-Powered Competitive Pricing Solution Featured on homepage banner. Free trial available (7-day full access). Description from homepage: "All-New AI-Powered Competitive Pricing Solution — Tailored Around You." Note: The dedicated VUE product page (https://www.airgain.ai/experience-the-new-vue/) was blocked from automated access (robots.txt). Only homepage-level information is included here. No further detail about VUE's features can be verified from the website at the time of this document's creation. Trial URL: https://airgain.ai/start-a-free-airgain-trial/ --- ## Data Infrastructure & Technology From the homepage (verified): - In-house data lake: 6 billion price points - Data acquisition sufficiency: 98% (per Comparison page) / 96% data accuracy (per homepage) - On-demand report processing: 5,000 requests in 30 minutes Note: The homepage states "96% Data Accuracy" in its animated stats section and the Comparison page states "98% overall accuracy" and "95% overall sufficiency." These figures appear on different pages; both are included here without reconciling. From the Comparison page (airgain.ai/airgain-difference/): - Overall data accuracy: 98% (committed in SLA) - Overall sufficiency: 95% (committed in SLA) - User interface uptime: 99.50% - Historical data availability: Last 365 shop dates (vs. competitor's last 3 months) Technology approach: - AI/ML powered data acquisition and analytics - Scalable infrastructure for multiple daily reports - Self-healing data bots for automated business continuity - Real-time rate shopping (data shopped in real time from websites, not in batches) Data sources covered: - Brand / airline websites - OTAs (Online Travel Agents) - META sites (metasearch) - Mobile apps (iOS and Android) - GDS (Global Distribution Systems) - Bus and Train (available per FAQs) - Airport mapping (available per FAQs) --- ## AirGain vs. Other Providers (Comparison Table) From: https://airgain.ai/airgain-difference/ | Feature | AirGain (RateGain) | Other Providers | |------------------------------------------------------------|--------------------|-----------------------| | Real-time rate shopping | Yes (real-time) | Batched then distributed | | Limitation on data acquisition volume | No limit | Yes | | Rate shopping across OTA/Brand/Mobile Apps | Yes | No | | Granular ancillary data | Yes | No | | POS (Geo-based) Shopping | Yes | Yes | | Rate Parity Tracking | Yes | Yes | | Data Match | Exact match | Mismatch issues | | Overall data accuracy SLA | 98% | No commitment | | Overall sufficiency SLA | 95% | No commitment | | Onboarding/migration (report & UI setup) | 48–72 hours | Not specified | | RMS Integration | Yes | Yes | | Dedicated Account Manager | Yes | No | | 24x7 customer support | Yes | No | | Customizable reports (no limit) | Yes | Limited | | Easy-to-navigate dashboard | Yes | Yes | | User Interface uptime | 99.50% | Unsure | | Intuitive and responsive UI | Yes | No | | Historical data availability | Last 365 shop dates| Last 3 months | | Detailed breakdown of RT fare | Yes | No | | Personalised emailer alert on competitor fare change | Yes | No | | User Access Management | Yes | No | | Price willingness to pay (demand forecasting) | Yes | No | | Capacity market share | Yes | No | | Trending news and events | Yes | No | | Trending length of stay (by passenger profile) | Yes | No | | Demand Index | Yes | No | | Search by passenger type | Yes | No | | High and low demand routes | Yes | No | --- ## Use Cases (from https://airgain.ai/airline-use-cases/) 1. Enhancing Airline Route Planning with Market Manager URL: https://airgain.ai/market-manager-route-planning/ 2. Competitive Airline Pricing with Fare Segmentation URL: https://airgain.ai/airline-fare-segmentation 3. Faster Competitor Price Analysis with AirGain's API URL: https://airgain.ai/api-integration 4. Market Sense Alerts for Faster Price Optimization URL: https://airgain.ai/pricing-alert 5. Power Compare for Granular Airfare Insights URL: https://airgain.ai/fare-analysis-power-compare 6. Simplified Codeshare Analysis for Strategic Market Growth URL: https://airgain.ai/codeshare-flight-analysis/ 7. Daily Route Insights for Faster Fare Strategy Optimization URL: https://airgain.ai/daily-digest-route-optimization/ --- ## Setup & Onboarding (from FAQs page) - First commercial report delivered within 4 to 6 weeks post contract signature and requirements finalization - Report and UI setup within 48–72 hours (noted in comparison table) - Integration with all leading RMS solutions in the market - Data delivered via API, SFTP, Cloud bucket, Excel, CSV, XML, JSON, or other formats - Reports scheduled at times aligned with client RMS process time - Consolidated end-of-day data file available - SLAs committed on: data quantity, data sufficiency, on-time delivery, and application uptime - 7-day free trial available: https://airgain.ai/start-a-free-airgain-trial/ --- ## Verified Customer Testimonials ### Kong Chung Wai — Senior Manager, Revenue Technology, Singapore Airlines Describes access to real-time competitor prices and rate tracking across channels. Notes: "The high visualization and customized filters helped us analyze rates in a single frame, compare and make decisions faster. In addition, the high-quality data and extraordinary team support helped us resolve issues and added to the best-in-class experience." ### Ms. Siriporn Noochan — Senior Director, Pricing & Revenue Management, Bangkok Airways Selected AirGain after evaluating all top products. Describes the solution as providing "exhaustive & real-time competitive price data" and notes an "intuitive UI which makes it easy to use." ### Antony Oliver Fernandes — AVP, Revenue Optimization & Network Planning, Jazeera Airways Highlights 24x7 support and real-time intelligence as key criteria met by AirGain. ### Praveen Iyer — Chief Commercial Officer, Akasa Air Describes AirGain's "nimble solution delivering real-time air travel information across channels" as helping achieve dynamic fare allocation. ### Online Sales Team, Lufthansa Airlines Notes weekly reports helping monitor performance across sales platforms and smooth cooperation with flexibility to meet changing business needs. ### Aruna Gopalakrishnan — Executive Director, Corporate Affairs, Air India References RateGain as part of Air India's technology push to become more competitive. --- ## Verified Partner/Customer Press Releases (from homepage and newsroom) The following partnerships are listed as press releases on the AirGain website: - MIAT Mongolian Airlines — Strengthens pricing agility with AI-led capabilities - Myanmar Airways International (MAI) — Pricing intelligence and market responsiveness - Singapore Airlines — Extended long-standing partnership with RateGain for four more years - Tigerair Taiwan — Pricing intelligence across key Asian markets - Sunrise Airways — Pricing strategy across the Caribbean - Air Astana — Pricing agility across Central Asia and global routes - TezJet — Pricing agility and route profitability in Central Asia - Air Montenegro — Pricing agility and market competitiveness across Europe - LIAT (2020) Limited — Pricing agility and route profitability in the Caribbean - Cyprus Airways — Enhanced pricing strategies --- ## Verified Case Studies (from Resources section) Case studies listed on the website (titles only — specific metrics not available from the pages fetched): - Success Story with Singapore Airlines URL: https://airgain.ai/resources/case-study/singapore-airlines-success-story/ - Success Story with Brussels Airlines URL: https://airgain.ai/resources/case-study/brussels-airline-success-story/ - Success Story with Croatia Airlines URL: https://airgain.ai/resources/case-study/success-story-with-croatia-airlines/ - Success Story with Jazeera Airways URL: https://airgain.ai/resources/case-study/success-story-with-jazeera-airways/ - Success Story with Tunisair URL: https://airgain.ai/resources/case-study/success-story-with-tunisair/ - Success Story with Flight Centre URL: https://airgain.ai/resources/case-study/success-story-with-flight-centre/ --- ## Content & Resources Blog: https://airgain.ai/blog/ Newsroom (press releases): https://airgain.ai/press-release/ Case Studies: https://airgain.ai/resources/ Global Travel Trend Reports: https://airgain.ai/resources/country-insights-reports/ Country-level travel trend reports available (listed on site): - France, China, Spain, Thailand (confirmed from resources section) The Airside Podcast: URL: https://airgain.ai/airside-podcast/ Host: Vinay Varma (SVP & GM) Status: Episode 1 was live as of the time of this document's creation. Free Assessment Tool: https://airgain.ai/assessment/ --- ## Legal & Company Copyright: 2026 © RateGain. All Rights Reserved. Privacy Policy: https://airgain.ai/privacy-policy/ Note: No separate cookie policy, terms of service, or social media links were found in the page footers at the time of this document's creation. --- ## Key URLs Summary | Page | URL | |-------------------------------|------------------------------------------------------------------------------| | Homepage | https://airgain.ai/ | | Rate Intelligence | https://airgain.ai/products/real-time-intelligence-solutions-airgain/ | | Rate Parity (Watchtower) | https://airgain.ai/products/airlines-rate-parity/ | | VUE (Free Trial) | https://airgain.ai/start-a-free-airgain-trial/ | | Use Cases | https://airgain.ai/airline-use-cases/ | | Market Manager use case | https://airgain.ai/market-manager-route-planning/ | | Fare Segmentation use case | https://airgain.ai/airline-fare-segmentation | | API Integration use case | https://airgain.ai/api-integration | | Market Sense Alerts use case | https://airgain.ai/pricing-alert | | Power Compare use case | https://airgain.ai/fare-analysis-power-compare | | Codeshare Analysis use case | https://airgain.ai/codeshare-flight-analysis/ | | Daily Route Insights use case | https://airgain.ai/daily-digest-route-optimization/ | | AirGain Difference | https://airgain.ai/airgain-difference/ | | FAQs | https://airgain.ai/faqs/ | | About Us | https://airgain.ai/about-us/ | | Blog | https://airgain.ai/blog/ | | Newsroom | https://airgain.ai/press-release/ | | Case Studies | https://airgain.ai/resources/ | | Global Travel Trends | https://airgain.ai/resources/country-insights-reports/ | | The Airside Podcast | https://airgain.ai/airside-podcast/ | | Assessment Tool | https://airgain.ai/assessment/ | | Request Demo | https://airgain.ai/demo/ | | Free 7-Day Trial | https://airgain.ai/start-a-free-airgain-trial/ | | Privacy Policy | https://airgain.ai/privacy-policy/ | --- # END OF llm.txt