AI for media, entertainment, streaming, and publishing. Content intelligence, audience engagement modelling, recommendation, rights management, and cross-platform analytics.
MUSE decodes audience behaviour, predicts content performance, and optimises discovery — across streaming platforms, publishers, studios, gaming, and live events. Everything auditable, consent-respecting, and cross-domain aware through KCL.
Real-time, multi-armed recommendation across catalogues. Adapts to session context — device, mood, time-of-day, social signals.
Predicts churn 45 days ahead. Identifies cohorts most likely to convert, subscribe, or abandon.
Forecasts title performance before release. Scores scripts, trailers, thumbnails, and release windows against historical analogues.
Non-classified signals flow from MUSE to sibling models — enabling cross-domain intelligence that no single-domain AI can produce.
Anonymised audience engagement patterns · attention signals · discovery paths · pricing elasticity · cross-platform consumption windows
MUSE decodes audience behaviour, predicts content performance, and optimises discovery — across streaming platforms, publishers, studios, gaming, and live events. Everything auditable, consent-respecting, and cross-domain aware through KCL.
MUSE builds a real-time graph of viewer intent — what paths lead to completions, where audiences drop, which titles activate cross-catalogue exploration.
MUSE segments audiences by behavioural DNA — not demographics. Predicts loyalty risk 45 days ahead and identifies high-value cohorts for retention investment.
Scores scripts, trailers, thumbnails, and release windows against historical analogues. Quantifies break-even probability per release slot.
MUSE shares anonymised attention signals with sibling models — TIDE uses them for destination marketing windows, ZYNC for retail promotion alignment.
Catalogue recommendation · personalised discovery · churn prediction · win-back campaigns.
Title performance forecasting · green-light analytics · trailer A/B · release-window optimisation.
Reader engagement · paywall conversion · content scoring · SEO intent alignment.
Real-time audience sentiment · event drop-off detection · creator economy analytics.
Request a demo tailored to your specific deployment — we'll walk you through the model, KCL integration, and onboarding timeline.