Introducing Nexa
Introducing Nexa
Airlines have been solving the same problem for decades: when a flight is cancelled, how do you get every passenger a hotel room — fast, at a fair price, and without anyone sleeping at the airport? Today we're introducing Nexa, the automation platform built end-to-end for that problem.
What Nexa does
Nexa ingests a disruption event, computes the stay plan per passenger group, searches every connected hotel source in parallel, ranks candidates under a policy the airline controls, executes the booking with retries and fallbacks, and sends a voucher — usually in under two minutes.
A few things make it different:
- Policy-driven, not hard-coded. Ops teams edit the rules — per tier, per airport, per airline — without a release cycle. A Nexa AI synthesizer turns English into structured policies for fast drafting.
- Multi-provider, not single-vendor. Amadeus, Hotelbeds, and your in-house contracts compete in the same ranking. Direct contracts usually win — which is how you see 10–20% savings on hotel spend.
- Nexa Trained Models on Google where they buy leverage. A flight-disruption predictor pre-warms contingencies. An exception agent triages stuck cases with read-only tools, proposing actions a human approves. There is no third-party AI API for the customer to provision.
- Auditable, every step. Every decision — automated or manual — writes an immutable audit entry with actor, reason, and before/after snapshot.
Who it's for
Airline operations centers, station managers, and the irregular-operations teams who've been running this on spreadsheets. Group / alliance deployments with multi-tenant isolation.
Try it
- Read the docs — start with the overview, then run the quick-start.
- Request a sandbox — we'll set you up with limited sandbox providers so you can drive the pipeline end-to-end in an afternoon.
There's a lot more to share — on the allocation scorer, how we train and deploy the predictor on Google, the exception agent's tool allow-list, the idempotency contract, the multi-tenant model. We'll cover each in the coming weeks.
Welcome to Nexa.