Rise provides an AI‑driven programmatic advertising platform for digital publishers, featuring its Smart Auction Management (SAM) engine that uses machine‑learning to optimize real‑time bids across web, in‑app, and connected‑TV inventory. The solution delivers data‑driven ad selection, a unified analytics dashboard, and API integrations to maximize revenue and improve inventory utilization.
Funding
Funding not disclosed
Founders
Product
Problem
Publishers using programmatic advertising often rely on static bidding rules and limited data processing, which leads to suboptimal revenue and inefficient inventory utilization across web, in‑app, and connected‑TV channels.
Solution
Rise offers an AI‑driven programmatic platform centered on its Smart Auction Management (SAM) engine. SAM continuously ingests real‑time auction data, applies machine‑learning models to predict bid performance, and automatically adjusts bidding strategies to maximize yield across all inventory sources. The solution supports display, video, and immersive CTV formats, delivering personalized ad experiences where users spend the most time. Publishers access a unified dashboard that visualizes performance metrics, enables adaptive rule configuration, and provides expert support throughout implementation and optimization.
Target Audience
Primary customers are digital publishers and media owners seeking to increase programmatic revenue across website, mobile app, and connected‑TV properties.
Features
- Smart Auction Management (SAM) engine that leverages machine learning for real‑time bid price optimization
- Cross‑channel support for web, in‑app, and CTV inventory with data‑driven ad selection
- Scalable data processing pipeline capable of handling high‑volume auction streams and adaptive strategy updates
- Unified analytics dashboard with revenue forecasting, performance alerts, and customizable reporting
- API integrations for seamless connection to existing SSPs, DMPs, and header‑bidding wrappers
- Dedicated technical support and strategic consulting to fine‑tune auction logic