Unify your lakehouse pipeline signals with the first foundation model trained on $502M+ in cross-network ad auctions across 27 platforms.
Extracts top-converting search queries, RSA hooks, negative keyword lists, and verified CRM conversion cohorts for Databricks.
Automatically adapts audience targeting, placement aspect ratios, UTMs, and server-side CAPI events with outer-loop human approval.
Continuously scans search term reports across Google Ads and Microsoft Ads to block non-converting queries automatically.
Replaces diluted 15-headline RSAs with high-signal qualification copy that filters out low-intent clicks.
Shifts daily budget toward ad groups and networks generating verified SQLs and closed-won revenue.