Data Teams

Data you don’t
have to fix,
first.

Structured, consistent data delivered ready for analysis, modelling, and pipelines — without preprocessing or cleanup.

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The Problem

Legacy data breaks your workflow.

Before you can analyse anything, you have to fix the data. Clean it, reshape it, and fill in the gaps.

Too much time spent cleaning data
Analysts spend more time fixing data than using them.
Schemas don’t match
Fields, formats, and relationships vary across sources.
Coverage is inconsistent
Missing data creates gaps in models and reporting.
Pipelines require constant fixes
Every dataset needs its own transformation layer.
Analysis only works when the data is reliable.
The Solution

Built for how data teams actually work.

Clean, structured data that can be used directly in analysis, models, and pipelines.

Readiness
Clean from the start
Use data that arrives ready for analysis instead of building a cleanup step before every workflow.
  • No preprocessing
  • No repair work
  • Data is ready to use
Why it matters
Less cleanup before insight
Spend less time normalising files and more time moving directly into reporting, forecasting, and production workflows.
Structure
Consistent structure
Keep schemas stable across data so joins, models, and analysis do not need source-specific workarounds.
  • Stable schemas
  • Defined entities
  • Compatible data
What that unlocks
Reusable data foundations
The same structure can support dashboards, internal systems, model training, and warehouse logic without separate handling for every source.
Delivery
Pipeline-ready delivery
Send structured data straight into warehouses, models, and internal systems without a separate transformation layer.
  • Drops straight into warehouses
  • Works in models and internal workflows
  • No transformation layers needed
Operating model
Built for production use
Built for teams that need data to flow into live systems rather than sit in report-only formats.
Coverage
Reliable coverage
Use multi-source data with the depth needed for time series work, analysis, and production use.
  • Multi-source data from brand.com, GDS, OTAs, metasearch, and more
  • Depth for time series and analysis
  • Coverage you can build on
Built to scale
Depth where it matters
Supports longitudinal analysis, market comparisons, and production decision-making without gaps undermining the output.
Coverage Real-time and historical data from brand.com, GDS, OTAs, metasearch, and more.
Delivery API, S3, or custom pipelines.

Use Cases

Use the data directly.

Proven in one of the most dynamic data markets — travel and hospitality — we structure data to work cleanly across analysis, models, and pipelines from the start.

Reporting

Analytics & Reporting

Use consistent data across markets, routes, properties, and dashboards without rebuilding the data layer for every workflow.

  • Use consistent data across markets, routes, properties, and dashboards
  • Reduce time spent validating data
  • Track metrics on stable foundations
Best for

Teams that need a stable reporting layer across operational, commercial, and market-facing views.

Forecasting

Model Training & Forecasting

Train on clean, structured inputs across fast-moving travel and hospitality data without absorbing inconsistency into your model layer.

  • Train on clean, structured inputs across fast-moving travel and hospitality data
  • Improve model reliability
  • Reduce feature engineering caused by inconsistency
Best for

Forecasting, pricing, demand, and model teams that need stable entities and historical continuity.

Warehousing

Data Warehousing

Ingest multi-source travel and hospitality data without transformation layers, then store it in a structure that supports joins, trends, and downstream systems.

  • Ingest multi-source travel and hospitality data without transformation layers
  • Store data in a structure that supports joins and trends
  • Scale pipelines without source-specific logic
Best for

Warehouse and platform teams building reusable internal foundations rather than one-off pipelines.

Ad hoc

Ad-hoc Analysis

Query routes, markets, properties, and pricing data immediately, compare entities using consistent fields, and answer questions without preparation steps.

  • Query routes, markets, properties, and pricing data immediately
  • Compare entities using consistent fields
  • Get answers without preparation steps
Best for

Analysts and commercial teams exploring fast-changing markets where waiting for cleanup destroys speed.

Use structured travel data directly in your workflows.
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Comparison

Stop building around broken inputs.

The difference is not just coverage. It’s whether the data can be used directly by people and systems.

Legacy Providers
  • Raw or inconsistent data
  • Manual cleaning required
  • Schema variation across sources
  • Designed for reporting, not systems
  • Breaks pipelines and workflows
Aggregate Intelligence
  • Clean, structured data
  • Consistent schemas across sources
  • Built for analysis and pipelines
  • Ready for direct ingestion
  • Reusable across workflows

Our Data

Multi-source travel data, structured for production.

Unified data across air, hotels, and car rental — ready for analysis, models, and live systems.

Coverage
What you get
  • Air travel pricing, schedules, and availability
  • Hotel rates, LAR/BAR, and property-level data
  • Car rental pricing and destination intelligence
  • Historical and real-time datasets
  • Reviews, sentiment, and ancillary signals
Access
How it’s delivered
API S3 Custom pipelines
  • Structured and consistent schemas
  • Ready for warehouses and models
  • No transformation layer required

Stop cleaning data.
Start using it.

Replace inconsistent inputs with data you can use directly in analysis, models, and pipelines.

Contact Us → Talk to Us