Platform5 min

Welcome to Axiom Locus

Democratizing Location Intelligence

Axiomancer LabsMarch 28, 2026

The commercial real estate industry runs on gut feel and $50K/year data subscriptions. A Starbucks opening a new location has a 30-person analytics team. A regional chain with 50 locations has one person with Excel. We built Axiom Locus to close that gap.

The Problem

A Starbucks has a 30-person analytics team. A regional chain with 50 locations has one person with Excel. The gap in location intelligence is massive — and it’s costing operators millions in bad site decisions.

Site selection today means driving to locations, counting cars in parking lots, pulling Census data that’s 4 years old, and paying $30,000–100,000+ per year for enterprise tools that lock away public data behind opaque algorithms. The process takes weeks. The data is stale. The decisions are gut-feel.

Our Approach

Axiom Locus aggregates 43 authoritative data sources across 8 signal groups into a single composite score for any location. Every sub-score traces back to a named, verifiable source — Census, BLS, FEMA, EPA, Google, Yelp, TomTom, and more. No black boxes. No proprietary algorithms hiding behind a paywall.

We use radius-based scoring: draw a 1km circle around any point and we analyze everything inside it. Not grid-locked census tracts, not arbitrary ZIP code boundaries — the actual area around your site.

The 8 Signal Groups

Signal Group Weights (General Profile)
Business Vitality
20%
Pop Momentum
15%
Demographics
12%
Economic Strength
15%
Dev Pipeline
12%
Accessibility
10%
Safety & Env
8%
Amenity & Demand
8%

What Makes Us Different

FeatureCoStarTraditionalAxiom Locus
Data sourcesProprietary1–343
Cost$30–100K/yrFreeFree–$500/mo
TransparencyBlack boxVariableFull
CoverageNationalLocal22 metros
ScoringProprietary modelManualWeighted composite
Update frequencyQuarterlyAnnualReal-time enrichment

Coming Soon

We’re just getting started. Here’s what’s on the roadmap:

Monthly Market Pulse newsletters with data-driven insights • Neighborhood-level scoring (currently 1km radius, exploring 500m) • Historical score trends — track how scores change over time • API access for programmatic integration • Custom scoring profiles for your specific use case • More metros — currently 22, targeting 50 by end of year