Six layers of predictive intelligence infrastructure.
From raw behavioral signals to delivered probability — every layer of the stack designed for institutional-grade enterprise acquisition.
The intelligence stack
Predictive Scoring
Behavioral propensity, calibrated against panel ground truth. 0–100 score per individual with confidence interval. v4.7 model in production.
Identity Graph
Probabilistic linkage of signals to unified individuals or households. 97.4% accuracy vs. panel. Hashed-first by default.
Decay-Aware Signal Engine
Signal half-life modeled per category. Stale signals are down-weighted rather than discarded — preserved for retrospective modeling.
Enrichment APIs
Sub-100ms p50 latency. Demographic, psychographic, behavioral, identity overlays. Hashed input → normalized record output.
Audience Builder
Cohort assembly across signals. Real-time size estimation. Probability-weighted, decay-adjusted outputs.
Delivery + Integrations
Native exports to Salesforce, HubSpot, Marketo, Snowflake, BigQuery, Segment. Direct push to ad platforms. Webhook delivery.
Model health
By industry vs. ground truth panel
Predictive score × signal index
Predictive intelligence · enterprise onboarding
Move from list-buying to probability-buying.
Engage your account team for a calibrated intelligence estimate, methodology walkthrough, and a sandbox environment scored against your own audience.