v0.9 · proactive disruption mgmt

Travel that
routes around
the chaos.

SEE THE PLATFORM → READ THE TECHNOLOGY

ViaMe fuses machine-learning disruption prediction, multimodal routing, transactional rebooking and adaptive device telemetry into one closed loop — so the alternative is booked before your gate even closes.

ITIN/SFO-LHR-PAR-LYS · 4 LEGS
LIVE TELEMETRY
T+02:14:38
SFO ride-share · 09:14 LHR flight · 21:40 CDG rail · risk 0.74 LYS arrival · 14:22 REROUTE
DISRUPTION
0.74
ETA Δ−00:42:00 saved
ALT ROUTES7 ranked
PREDICTION ACCURACY
85% min
ROUTE COMPUTE
<500ms · 5+ legs
ON-DEVICE INFERENCE
<200ms · ARM
POWER REDUCTION
−72% sensors
001 · the problem

Disruption isn't
a single event.
It cascades.

A weather cell over Heathrow doesn't just delay one flight — it consumes the rebooking window, drains the premium-fare alternates, and orphans the train waiting in Paris.

Today's tools detect the disruption minutes after it begins propagating, rebook a single leg in isolation, and quietly burn 100% of the device's sensor budget while doing nothing useful for the 4 hours of stable cruise.

LEG 01
Ride-share
SFO → Terminal I
09:1410:02
ON TIME
LEG 02
Long-haul
SFO → LHR
11:4006:25 +1
ON TIME
LEG 03
Short-haul
LHR → CDG
09:1011:35
DELAY · WX
LEG 04
Rail
CDG → Gare de Lyon
13:1813:54
CONNECTION MISS
LEG 05
TGV
Paris → Lyon
14:12—
ORPHANED
nominal predicted disruption cascade impact SOURCE · ARINC 834 + GTFS-RT + NWP radar
002 · architecture

A closed loop,
not a stack of tools.

Prediction weights routing. Routing constrains booking. Booking outcomes retrain prediction. Resource management throttles itself to the risk score. Every signal pays for the next decision.

M·01
PREDICTION
Disruption ML
10⁸-param transformer · multimodal fusion of ARINC 834, GTFS-RT, NWP radar, social signal
M·02
ROUTING
Multimodal A*
directed multigraph · risk-weighted edges · transfer-aware heuristic · n-best diverse routes
M·03
ORCHESTRATION
Saga Booking
quote · hold · pay · confirm · safeguard · rollback · per-provider compensations
M·04
DEVICE
Adaptive Edge
quantized on-device inference · risk-gated GPS · predictive prefetch · battery-aware modes
CLOSED LOOP
∞
predict ↔ act
003 · live telemetry

Risk is a number,
updated 50 times a second.

Disruption Risk · Itin #A8842
MODEL v3.2 · 256·E · q8
1.00.750.50.250.0
τ = 0.75 · ALERT
REBOOK TRIGGER · T+02:14
T−06hT−04hT−02hNOWT+02hT+04h
Weather Δ · KLHR
+3.4 kt
trend ↑ · radar cell @ 14 nm
Social signal
22 mentions/min
NLP · "delay" cluster > 3σ
Gate push-back Δ
+11 min
ARINC 834 · trailing 6 flights
Seat inventory
142 → 38
premium tier depleting · 73%
004 · adaptive edge

Your battery doesn't
care about Heathrow.
Until it does.

72%
cumulative power reduction vs. constant polling
Risk-gated GPS sampling slides between 15 s and 4+ hours. The device wakes when the prediction model says something is actually about to be worth knowing — and sleeps for the cruise.

Polling controller

High
15s
Elevated
60s
Standard
5m
Low
15m
Cruise
4h+
MODE · auto · risk-drivenBATT · 64% · 11h projected
005 · booking orchestration

Six-stage Saga.
All-or-nothing rebooking.

A distributed Saga across carriers, rails and ride-share APIs — each stage reversible by an explicit compensating transaction. You are never charged for a flight you can't board.

STAGE 01
Quote
Pull live fares from every selected provider, with passenger, baggage and loyalty context.
STAGE 02
Hold
Reserve inventory across providers — 5 to 15 min hold, or direct-commit fallback.
STAGE 03
Pay
Authorize the user's payment method only after all holds are confirmed.
STAGE 04
Confirm
Two-phase commit. Provider PNRs collected tentatively, finalized atomically.
STAGE 05
Safeguard
Issue cancellation vouchers and rebook tokens against the just-confirmed itinerary.
STAGE 00
Rollback
Any stage fails: compensating transactions fire in reverse — eventual consistency guaranteed.
006 · in numbers

Engineered for the
narrow window.

≥85%
prediction accuracy
Validation against historical disruption sets — transformer-class architecture.
<500ms
multimodal route compute
Five-leg international itineraries, risk-weighted A*, n-best diverse output.
<200ms
on-device inference
Quantized + pruned + distilled. Offline-capable when connectivity drops.
−72%
battery vs. constant polling
Risk-gated sensors, predictive prefetch, three-mode battery governor.
007 · request access

The next disruption
is already in the data.
Be on the other side of it.

ViaMe is in closed pilot with corporate-travel operators in DACH and the UK. We're onboarding a limited set of enterprise partners through Q3.

REQUEST PILOT → DOWNLOAD WHITEPAPER
Get in touchmail@ViaMe.World
Visitwww.ViaMe.World