Stratum is an AI that monitors real-world foot traffic, attributes conversions to physical locations, and reports what matters — autonomously, around the clock.
Competitor opened 400m from your King St location. Expect +18% visit displacement over next 14 days. Recommend counter-program.
Stratum processes privacy-safe location signals from millions of opted-in mobile devices. No GPS. No stalking. Just actionable intelligence derived from aggregated, anonymized movement patterns.
Processed from SDK-integrated apps with explicit user consent. Calibrated to retail-relevant venues — stores, QSRs, malls, transit hubs.
From raw ping to processed insight in under 6 minutes. ML models continuously refine attribution accuracy as signals accumulate.
Beyond simple visit counting. Models learn which sequences of visits actually predict purchase behavior — then report what matters.
All signals aggregated at the census-tract level minimum. No individual profiles. No tracking. Audited annually by independent third parties.
Stratum replaces the analyst dashboard with an autonomous intelligence layer. You stop asking questions. The insights find you.
Privacy-safe location signals flow in continuously from SDK partnerships. Raw pings are deduplicated, normalized, and tagged with venue metadata in real-time.
ML models process every signal. Visit sequences are attributed to venues using learned behavioral patterns — not simple dwell time heuristics.
Continuous analysis compares current patterns against learned baselines. Anomalies, opportunities, and threats are flagged the moment they emerge.
Natural-language insights delivered automatically when something matters. No query required. No dashboard to check. Just the insight, the confidence, and the recommended action.
The location intelligence industry still runs on dashboards. Stratum runs on agents.
The economic case is simple: one senior analyst costs $150K+/year and covers 20 locations. Stratum covers 500+ locations at a fraction of the cost — and never takes a sick day.
Location intelligence companies spent a decade building better dashboards. We spent that decade building a better employee. The difference isn't cosmetic — it's architectural. A dashboard tells you what happened. An AI tells you what matters and what to do about it. That's the gap we've been building to close.
— On the fundamental difference between location intelligence and location intelligence that actually works
Stop asking your data what happened. Start receiving what matters.