Geospatial Intelligence Platform
See where you are. Decide where you go.
Where-I turns fragmented address, mobility, and sensor data into a single geospatial layer that any operations team can query in plain English. In under five minutes, model catchment, optimize routes, and forecast where the next opportunity or risk will surface.
The Hidden Tax
Your location data is fragmented. Your decisions shouldn't be.
Every operations leader we talk to carries the same scar tissue: a regional geocoder that drops 8% of rural POIs, a fleet telemetry feed that joins to addresses on a five-day-old spreadsheet, a market model built in one tool and a routing plan built in another, with no shared coordinate of truth. The cost is not visible on a single line item — it shows up as a 19-week site-selection cycle, a catchment model the CFO won't sign off on, and a GIS analyst who has become the bottleneck for every territory question.
Where-I was built to retire that tax. We replace a stack of vendor geocoders, brittle shapefile joins, and bespoke SQL with a single spatial layer — sub-200ms queries, 99.4% rooftop precision, and a natural-language interface that an operations manager can drive without writing a join. The result, validated across 2,300+ enterprise deployments, is a 71% reduction in site-selection cycle time and a 4.3x ROI inside twelve months.
— The Where-I team, Boston, MA
Six measurable advantages
The case, in six numbered claims.
Each claim below is verifiable against public benchmarks, customer deployments, or third-party reports. No marketing math.
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01
99.4% rooftop geocoding
Our 14-layer geocoding engine resolves 99.4% of addresses to rooftop precision, including rural POIs that most vendor geocoders silently drop to the county centroid.
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02
71% shorter site-selection cycles
Across 2,300+ enterprise deployments, customers reduce their site-selection cycle time by an average of 71% after consolidating onto Where-I.
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03
GeoGPT — the first native LLM for spatial queries
Shipped March 2024, GeoGPT lets analysts ask geographic questions in plain English. It is now used monthly by 38,000 analysts worldwide.
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04
Leader, 2024 GeoAnalytics Compass Report
Named Leader for the third consecutive year and ranked #1 for innovation in the 2024 Compass Report.
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05
SOC 2 Type II & FedRAMP Moderate
Certified for the workloads that matter — SOC 2 Type II, FedRAMP Moderate, and active deployments across 47 countries.
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06
Sub-200ms on petabyte-scale tiles
Built on a custom SpatiaLite fork over petabyte-scale tile infrastructure. Sub-200ms response, even on nationwide aggregations.
Quietly powering location intelligence at scale
9 of the Fortune 100. 4 of the top 10 U.S. retail banks.
Where-I is the spatial backbone for enterprise operations teams and public-sector agencies in 47 countries — from retail network planning to emergency response routing.
Selected enterprise and public-sector deployments. Full case studies available on request.
GeoGPT · Shipped March 2024
Ask the map. In plain English.
GeoGPT is the first native large-language-model interface for spatial queries — now used monthly by 38,000 analysts and operations managers who would otherwise be writing SQL, dragging polygons, or waiting on the GIS team.
- Q "Which of our depots can reach 90% of Boston addresses within 45 minutes during evening rush?"
- Q "Forecast where churn risk is highest in our Southeast region next quarter."
- Q "Find the 200 census tracts with the lowest drive-time to our new clinic."
By the numbers
The scale, precision, and ROI of Where-I.
Sources: Forrester Total Economic Impact study, Q2 2024 · 2024 GeoAnalytics Compass Report · internal platform telemetry.
Next step
Bring your hardest spatial question.
A 30-minute live demo, on your data, with one of our engineers. We will show you the unified layer, run a query against a sample of your addresses, and benchmark the cycle-time delta against your current stack.