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Get instant real world context with our graph model powered by accurate data sources that are cleaned, ready to join and consume. We do the heavy lifting so you don’t have to.
Each dataset is designed to be simple to understand, easy to join, and immediately useful for data and analytics teams.
How people move through the physical world—visits and patterns around stores, venues, and neighborhoods.
Clean, consistent details about stores, restaurants, venues, points of interest, and their surroundings.
Context on parcels and neighborhoods: land use, property types, and housing stress indicators.
Search and commerce signals: which brands, products, and categories are gaining attention across markets.
Local economic pulse of income, employment, and other fundamentals that shape background demand.
Thousands of ready‑made consumer segments by market: demographics, interests, behaviors, and intent signals.
Delivered in clean tables with geoIDs and clear documentation, so you can connect to your stores, branches, depots, and trade areas quickly.
Available through the major data clouds and easy to use in SQL, notebooks, BI tools, and ML pipelines.
Plain‑language columns your data, ops, and finance teams can all understand. No black boxes.
Aggregated where required, with a privacy‑first approach and transparent sourcing and refresh cadences.
Integrated mobility, consumer, and place intelligence enabling smarter model launches, targeted campaigns, and high-confidence site selection.
Automotive
Market Entry & Expansion
Showroom Site Selection
Use mobility, events, retail, economic, and other real world signals to cut forecast error and explain why demand changed.
Combine places, people, property, and economic data to choose better locations, score trade areas, and understand cannibalization risk.
Plan stock and capacity with local demand patterns, store catchments, and economic shifts in mind.
Aim campaigns where people actually are, with interest and purchase signals that reveal real intent.
Staff stores, branches, and depots according to local footfall, events, and economic conditions.
Feed your models with reliable real‑world context so predictions are more accurate and easier to trust.
Ready to see what changes when your models understand the real world?
Get a product tour to walk through your use cases, or explore our datasets to see exactly what’s available for your locations and markets.
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