Personal and pro

Travel that learns
how you move

Not a booking engine. A holiday or a work trip: FARABEL learns your morning tempo, your curiosity, and the hours that have to hold — and constructs days that match the way you actually travel.

Itinerary Intelligence● Active
APR 04Kyoto96% rhythmMATCHED
APR 08Naoshima91% paceMATCHED
APR 11Osaka88% energyLEARNING
APR 14Hakone94% restMATCHED
MAY 02Singaporepro tripQUALIFIED
Patents
Predictive itinerary engine
Cross-vertical travel orchestration
The gap in travel

Travel platforms aggregate.
None of them learn.

Kayak compares prices. Booking.com shows rooms. TripAdvisor averages opinions. None of them know that you prefer slow mornings, eat late, walk instead of taking taxis, or that by day four you need a rest day.

Itineraries are still templates. "Top 10 things to do in Kyoto" is the same list for a 22-year-old backpacker and a 55-year-old architect. Every recommendation engine treats travellers as interchangeable.

FARABEL learns your travel personality — pace, aesthetic, energy curve — and builds itineraries that fit how you actually move through the world.

The same gap on a work trip. The hotel nearest the office and a standard transfer are still a template. FARABEL qualifies the providers and keeps the pace it already learned.

Intelligence for every side of travel

Personal and pro, one engine

The holiday and the work trip are both FARABEL. Hosts and agents sit on the same book.

🌎
PREDICTIVE ITINERARY
Morning tempo: slow (avg wake 8:40)
Cultural density: high
Physical endurance: moderate
Day 4 rest probability: 89%

Predictive Itinerary Engine

FARABEL doesn't suggest "things to do." It constructs days that match your rhythm — pace, surprises, payoff — shaped by morning tempo, curiosity, endurance, and the season.

Patents
🌡️
DESTINATION MATCH
Kyoto (Nov): 96% — pace, aesthetic, season
Kyoto (Apr): 78% — crowd density mismatch
Porto: 91% — walkability, food culture

Preference Learning

Every trip deepens the model. FARABEL learns you prefer pedestrian cities, eat late, and that November Kyoto suits you better than April. Recommendations sharpen with every journey.

Behavioural Learning
📅
CROSS-VERTICAL ACTIVATION
■ LUSTRE: Pre-trip grooming (climate-aware)
■ HAVEN: Accommodation matched
■ WELLSPRING: Budget optimised

Ecosystem-Orchestrated Travel

A single departure date activates grooming, accommodation, dining, and cultural preparation across the SINGULARITY ecosystem. The trip as a coordinated experience, not a stack of unrelated bookings.

Patents
✈️
PROVIDER QUALIFICATION
Advisor: destination on record
Specialisation: matched
Brief: duty of care included

Qualified before you fly

A work trip is only as good as who meets you there. FARABEL ranks advisors and providers on the destination, the specialisation, and the record. The nasty surprise is the booking that never happens.

Provider qualification
🕑
THE WORKING DAY
The meeting holds the centre
Transfers fit the hours
The evening is decided, not leftover

The day around the work

The meeting is the point. FARABEL builds the transfers, the hotel, and the hours between around it. A work trip is not a holiday template with a suit on.

Itinerary reasoning
🌎
ONE TRAVELLER
Holiday pace: kept
Work trip: uses it
Nothing reset between them

What it learned comes with you

The person who likes a slow morning on holiday is the same person landing for a client dinner. FARABEL does not forget the first trip when the second one is work.

Same model
🏢
GUEST MATCHING
Match score: 94%
Style: cultural immersion
Pace: moderate, morning-first
Reviews: 4.8 avg (matching guests)

Matched Guest Profiles

Stop hosting mismatched travellers. FARABEL matches guests to hosts based on style alignment. Cultural immersion hosts get culturally curious guests. Adventure guides get active travellers.

Style Matching
⭐
REVIEW INTELLIGENCE
■ Praise: "local knowledge"
■ Improvement: pace too fast Day 1
■ Rebooking rate: 34%

Review Intelligence

Reviews analysed for actionable patterns. See what guests consistently praise, where pace mismatches occur, and which experience elements drive rebooking.

Host Analytics
💰
EARNINGS
This month: $4,200
Matched booking value: +18%
Cancellation: 3% (vs 12% avg)

Earnings & Demand Visibility

See incoming demand by traveller type, season, and style. Matched guests book higher and cancel less. FARABEL gives hosts the data to price confidently.

Revenue Intelligence
🏷️
WHITE-LABEL INSTANCE
Brand: [Your Agency]
Engine: FARABEL-powered
Client profiles: synced
Commission: transparent

White-Label Intelligence

Run FARABEL's itinerary engine under your brand. Your clients get predictive planning. You keep the relationship, commission, and brand equity. FARABEL powers the intelligence quietly.

White-Label
💸
COMMISSION
■ Accommodation: 12%
■ Experiences: 15%
■ Multi-stop: tiered bonus
■ Repeat client: +3% uplift

Transparent Commissions

No hidden fees. Agents see exactly what they earn per booking, per component, with tiered bonuses for multi-stop itineraries and repeat client loyalty.

Agent Economics
SINGULARITY ECOSYSTEM

Connected Intelligence

Travel touches everything. FARABEL connects to grooming, accommodation, and financial intelligence — the best trips are the ones where every detail aligns before you leave.

LUSTRE→

Pre-travel grooming

FARABEL plans the destination. LUSTRE prepares the look — climate-specific skincare, appointments timed to departure, styling for the culture you're entering.

HAVEN→

Accommodation intelligence

FARABEL selects the destination and itinerary. HAVEN matches accommodation — property type, neighbourhood, amenity profile — to the way you actually live when you travel.

WELLSPRING→

Travel budget optimisation

WELLSPRING models your travel budget. FARABEL allocates it wisely — across accommodation, dining, and experiences in proportions that match how you travel.

Travel that knows your rhythm

A holiday or a work trip. Days built from how you move, and providers qualified before you commit.

Your travel data stays yours.

Or reach us: letmein@inevara.com