Ryff Launches Scene Intelligence
Deployed on Oracle Cloud Infrastructure, Scene Intelligence processes large entertainment datasets in real time, with Ryff's proprietary ALGO-C (content classification) and ALGO-D (behavioural prediction) models.
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Ryff has announced the launch of Scene Intelligence, an AI framework that determines, with unprecedented accuracy, how humans respond to visual content, such as TV shows, movies, social content and more.
Developed over three years and validated on extensive entertainment records, the platform gives brands, agencies, and creators new ways to understand and optimise the impact of every scene on consumer behaviour.
Traditional metrics like impressions and views show reach but fail to reveal what happens after people watch. Scene Intelligence goes further by pinpointing expected outcomes, such as brand consideration and purchase intent.
In early pilots, the technology has already delivered measurable gains in audience engagement and campaign performance.
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“Scene Intelligence doesn’t just measure how many people watch or measure sentiment. It helps us understand why, and what content drives action,” said Roy Taylor, Founder of Ryff. “This moves creative and marketing decisions away from guesswork and grounds them in science.”
Scene Intelligence introduces four proprietary metrics that go beyond traditional engagement:
- Scene Prominence Score (SPS): Captures the visibility and impact of specific on-screen elements.
- Scene Weighted Impact Score (SWIS): Measures overall influence across an entire program.
- Scene Consideration Potential (SCP): Estimates the likelihood of brand consideration after viewing.
- Purchase Pathway Score (PPS): Forecasts how exposure can drive consumer actions.
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The system uses Ryff’s Behavioral Environmental Descriptors (BEDs) framework to analyse more than 2,000 visual attributes per scene, including object placement, composition, and character interaction.
This creates a deep understanding of how visual choices shape audience psychology and subsequent actions.
Deployed on Oracle Cloud Infrastructure, Scene Intelligence processes large entertainment datasets in real time, with Ryff’s proprietary ALGO-C (content classification) and ALGO-D (behavioural prediction) models.
Its ViewStream Intelligence module delivers accurate view data across shows and platforms, and enables real-time analysis during live broadcasts and streaming releases. With ViewStream Intelligence, brands and creators can adjust strategies on the fly, all monitored through a “single pane-of-glass” dashboard.
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Scene Intelligence will be available in three deployment models:
- Enterprise API: Direct integration for streaming platforms and studios.
- Brand Intelligence Suite: A self-service platform for agencies and advertisers.
- Creator Analytics: Tools designed for production companies and creators.
Early adopters will also gain access to historical analysis of their libraries, real-time predictions for new releases, competitive intelligence, and custom BEDs development for industry-specific needs.
Scene Intelligence addresses a critical gap by understanding not just who is watching, but how content drives behaviour. By combining predictive science with creative storytelling, Ryff is helping the entertainment and advertising industries unlock new value from visual media.
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