Accommodation intelligence
Go beyond a basic hotel record to describe who a property is for, what it supports, and where its constraints are.
Travel intelligence / 001
Travel intelligence for the AI era.
TripByte is building the decision data infrastructure that helps people, search systems, and AI agents understand travel products with more context.
Decision data / live model Context ready
From a property record to a decision context.
Pet fitTraveler context
GardenProperty attribute
WalkableNearby context
Why?Decision signal
The decision gap
Travel information is abundant. Decision-ready information is not.
Travel products carry a surprising amount of meaning: policies, constraints, context, and fit. Today, those signals are often scattered across sources and reduced to a few standard fields.
- Search
- What products exist?
- Discovery
- What makes each one different?
- Decision
- Which one is right for this person and situation?
Our focus
A richer layer for accommodation decisions.
We are starting with the global accommodation category, where nuance matters and simple labels leave too much unsaid.
Decision-ready data
Turn fragmented travel information into a structure that people, search systems, and AI agents can use.
Context over labels
Connect traveler needs, property attributes, and real-world context so recommendations can become more explainable.
The platform
Building the decision data infrastructure for global travel.
TripByte is building a focused foundation for the next generation of travel search and planning. The work begins with accommodation intelligence and a clear question: why is this a good fit?
Explore the platformAccommodation IntelligenceMore useful context around each stay
Decision GraphRelationships between needs, attributes, and places
AI-ready dataStructured for better understanding and matching
A clear method
From travel data to travel intelligence.
01CollectBring signals together
02NormalizeMake data consistent
03StructureExpose useful attributes
04EnrichAdd decision context
05UnderstandInterpret needs and fit
06MatchSupport better choices