Think of this like a smart air-traffic controller for your ads. It watches how all your campaigns perform across Google, Meta, TikTok and other channels at once, learns what’s working, and automatically shifts budget, creatives, and targeting to get you more results for the same spend.
Marketers waste money and time managing each ad channel separately, guessing which mix of creatives, audiences, and budgets will work best. This solves fragmented, manual optimization by using AI to unify performance data across channels and continuously tune campaigns for impact.
Cross-channel performance dataset, existing integrations with major ad platforms, and embedding into day-to-day media buying workflows create switching costs and enable better optimization models over time.
Hybrid
Vector Search
Medium (Integration logic)
Joining and normalizing high-volume, high-granularity marketing event streams across many platforms in near real time, plus LLM inference cost for insight generation at large campaign scale.
Early Majority
Positioned specifically around AI-driven cross-channel intelligence and optimization rather than just bid management, emphasizing unified insights and automation across multiple walled-garden ad platforms.