AirGain (RateGain)

AirGain (RateGain) — Continuous airfare shopping capture at very high frequency: live quoted prices scraped from 700+ sources (30+ airline sites, 170+ OTAs, 50+ metasearch platforms) with per-quote crawl timestamps, held as 365 days of history and streamed at ~1,200 fares/second on a demonstrated hub, plus a derived fare-competitiveness classification per origin-destination pair and a rate-parity layer comparing an airline's own price across channels.. High-frequency, high-exclusivity, shallow-history. The ingest rate (1,200+ fares/sec across 700+ sources) and the 95%+ accuracy claim put this…

AirGain (RateGain) offers (Alternative, Price, Sentiment) — Stated and large: 700+ data sources spanning 30+ airlines, 170+ OTAs and 50+ metasearch platforms, 365 days of retained history per watched market, at a demonstrated ingest of ~1,200 live fares per second. Sustained, that is roughly 100 million price observations per day and tens of billions across the 365-day window; the store supports 40+ languages of market coverage..

Competitive price-response and elasticity model training; pricing-agent reinforcement-learning environments (state = market fares, action = repricing, reward = rank/competitiveness change); parity-violation detection models; fare-change prediction (when will a competitor move); metasearch ranking-visibility models for OTA and package providers; demand and revenue nowcasting for airports, cruise lines and GSAs; travel-package cost-benchmarking feeds; NL-to-SQL / text-to-analytics evaluation corpus from the natural-language pricing query layer across 40+ languages.

Coverage spans APAC, US, UK; Passenger Airlines, Application Software; alternative, price, sentiment; equities.