Global passenger and flight operations intelligence: unify multilingual signals across international routes.
International carriers receive feedback across dozens of languages, cultural contexts, and operational jurisdictions. Yves unifies global passenger submissions into a single multilingual corpus, separates cabin service, ground handling, and airport authority liabilities, and prioritizes flight safety signals.
Built for this sector before your first message arrives, and adjusted in the first fortnight.
From Anonymous Voice to Airlines and airports Operational Decision
Explore how Airlines and airports leaders and field teams move from anonymous voice or text signal to verified executive triage in real time.
Voice & Text Anonymous Intake
Zero identity trace. Instant multi-lingual neural parsing across 100+ native dialects.
7 pending decisions
Northgate cluster · escalated 2h ago
Callback system overhaul
12m240% surge in callback silence
Staff conduct at Ward 4
41mDirect cash solicitation reported
Pharmacy weekend closure
1hPatients traveling 40m for insulin
Billing clarity at reception
2hScan costs tripled without quote
Callback system overhaul
“Three hours waiting in silence with zero nurse updates. When asked, staff advised waiting until day-shift arrived.”
Where conventional instruments fail in this sector
01
Multi-operator journeys obscure liability and fault attribution
Passengers describe journeys spanning carriers, third-party ground handlers, security screeners, and airport concessionaires in a single narrative, complicating operational accountability.
02
Confidential aviation safety reporting demands verifiable anonymity
Aviation safety culture requires total confidence that crew reports will not result in disciplinary exposure; identified channels suppress critical safety disclosures.
03
Network-wide satisfaction aggregates mask route-specific service breakdowns
Consolidated Net Promoter Scores hide severe catering, cabin maintenance, or turnaround failures confined to specific aircraft types or routes.
What is built specifically for this sector
Unified multilingual corpus across all international routes
Submissions in Japanese, Arabic, German, or Portuguese are analyzed within a unified semantic space with verbatim original text preserved.
Aviation safety disclosures escalated with absolute reporter protection
Submissions touching operational flight safety or maintenance protocols are prioritized for safety directors without storing identifiable reporter telemetry.
Operational liability segregation upon ingestion
Natural language classifiers separate ground handling baggage delays, airport security queues, and carrier inflight service into distinct operator buckets.
Route, aircraft fleet, and turnaround baselining
Long-haul flagships and regional commuter routes are evaluated against their own trailing baselines, surfacing route-specific operational friction.
11
specialized categories separating carrier inflight operations from airport authority and ground handler liabilities
Architected to support non-punitive safety reporting cultures and international passenger rights regimes including EU261 and DOT mandates. Anonymity is cryptographically enforced to ensure zero reporter identification.
“Yves separated ground handling delays from cabin service sentiment across our transatlantic network. We resolved vendor SLA non-compliance with verifiable qualitative evidence.”
Vice President of Inflight & Ground Experience, International Flag Carrier
Start with your own airlines and airports corpus.
We build the category model for your sector, test it against a sample of your messages, and show you the first findings before you commit.