ABRIAL is building the AI pricing brain for airlines: a hybrid deep learning, reinforcement learning, and agentic AI system that continuously optimizes pricing across ancillary products (and expands over time into broader revenue management). It starts with paid extras—still largely priced via spreadsheets and infrequent updates—delivering immediate, measurable revenue uplift for lean, ROI-driven airlines (roughly $0.5–5B in revenue), many of which share the same system of record. Defensibility compounds through a reinforcement learning data loop that improves with every deployment, plus a natural expansion path to joint optimization across tickets, loyalty, network, and marketing where pricing becomes the central decision layer. Built by a team that has validated the approach in production before, ABRIAL is positioned as decision intelligence—not another airline SaaS tool—bringing unified, performance-driven revenue optimization to a market that’s been underserved by legacy vendors.
