Rai provides an AI‑powered personalization engine that aggregates content from multiple streaming services and delivers real‑time, tailored recommendations to users. Through lightweight APIs and SDKs, the platform integrates with OTT providers, smart TVs, and mobile apps, offering analytics dashboards that help content owners understand audience segments and improve engagement.
Funding
Funding not disclosed
Founders
Product
Problem
Consumers increasingly struggle to discover entertainment content that matches their individual tastes across the growing number of streaming platforms and media formats, leading to fragmented experiences and wasted time.
Solution
Rai offers an AI-powered personalization engine that aggregates content from multiple sources and delivers tailored recommendations in real time. By analyzing user behavior, preferences, and contextual signals, the platform creates a unified entertainment feed that adapts as tastes evolve. Rai’s technology integrates with existing streaming services and devices through lightweight APIs, enabling providers to enhance user engagement without redesigning their core products. The solution also supplies analytics dashboards that help content owners understand audience segments and optimize programming decisions.
Target Audience
Rai targets streaming service operators, OTT platforms, and digital media distributors seeking to improve content discovery and increase viewer retention.
Features
- Machine‑learning recommendation engine that combines collaborative filtering with content‑based analysis
- Real‑time adaptation to user interactions, mood, and device context
- API and SDK for seamless integration with OTT platforms, smart TVs, and mobile apps
- Cross‑platform content aggregation from major streaming services and digital libraries
- Analytics portal offering audience segmentation, view‑through metrics, and recommendation performance reports