Product
Physical-world advertising intelligence.
Ingest real-world signals, map them to territories, and translate signal changes into budget allocation decisions — with every outcome feeding persistent decision memory.
Full workflow
Capabilities
Signal Ingestion
Capture physical-world signals — foot traffic, competitor density, weather, mobility patterns — from edge devices, APIs, and platform data.
Territory Mapping
Map ingested signals to defined zones. Each territory gets a real-time intelligence profile that reflects current conditions.
Allocation Engine
Translate territory-level signal changes into budget deployment decisions. Confidence thresholds gate every allocation.
Decision Memory
Every allocation decision and its outcome is recorded in a persistent graph. Past performance informs future deployment automatically.
Execution Layer
Deploy budget to advertising surfaces based on allocation decisions. Signal-aware placement across digital and physical channels.
Feedback Loop
Execution outcomes feed back into territory intelligence. The system compounds accuracy with every deployment cycle.
Under the hood
Edge inference pipeline
Signal ingestion runs at the edge — camera feeds, sensor data, and environmental signals are processed locally before structured data reaches the allocation engine.
Signal fusion architecture
Multiple signal sources are fused into unified territory profiles. Weather, traffic, competitor presence, and audience behavior are combined, not siloed.
Confidence-gated allocation
Budget only moves when signal confidence exceeds defined thresholds. Low-confidence zones are flagged, not funded blindly.
Persistent decision graph
Allocation decisions are stored as nodes in a directed graph with edges representing causal relationships. This enables pattern detection across territories and time periods.
Use cases
Retail location intelligence
Deploy signal ingestion at physical locations. Map foot traffic patterns, competitor density, and environmental conditions to advertising allocation decisions.
Multi-territory deployment
Operate across zones with independent signal profiles. Cross-territory pattern detection identifies allocation opportunities that single-zone analysis misses.
Real-world signal optimization
Use physical-world signals — weather shifts, traffic changes, event proximity — to reallocate budget in real time across territories.