Every viewer sees the right content first
AI recommendation systems that personalize the storefront, suggest the next watch, and keep the audience engaged, to increase session time and reduce cancellations. AI ranks the catalog; your team sets the strategy.
0%
of consumption on large streaming platforms comes from personalized recommendation (industry benchmark)
Without relevance, the audience watches less and cancels more
In an ever-growing catalog, what drives engagement is putting the right content in front of the right person. The gaps we see most:
One storefront for everyone
A single home for millions of different profiles treats the documentary fan the same as the comedy fan. Without personalization, most people scroll, find nothing that appeals, and leave without hitting play.
Viewers can't find what they want
When finding a good title becomes a chore of search and endless scroll, the experience tires people out. The audience abandons the session before finding what they would have loved to watch.
Churn from a lack of relevance
A subscriber who opens the app and sees nothing that speaks to them stops coming back, and cancels. Without recurring relevance, every subscription renewal is at risk month after month.
A large catalog left underused
Content investment that almost no one reaches is money sitting idle. Great titles stay hidden in the back rows because nothing puts them in front of the right person.
From behavior signals to each person's storefront
We build recommendation as an end-to-end capability, from the AI engine to the dashboard that shows the effect on engagement. AI supports the experience; your strategy stays in control.
A recommendation engine built to fit
AI models that learn each profile's taste and rank the catalog in real time. We can build the recommendation engine from scratch or plug it into your current streaming platform.
Behavior signals that become relevance
Every play, pause, search, and drop-off is a signal. We turn that behavior into an understanding of preference, respecting privacy, so the recommendation improves with every session.
Personalized storefront and up-next
The home becomes different for each person: relevant rows at the top, highlights that match them, and up-next suggestions that keep the binge, and the audience, engaged.
An engagement and results dashboard
A dashboard that shows session time, catalog reach, and the effect of recommendation on retention. You can measure the impact on your audience and adjust the strategy with data, not guesswork.
Technologies & partners
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Elasticsearch
AWSPythonTensorFlowNode.jsElasticsearchAWSCommon questions about AI recommendation
Let's personalize your audience's experience
Bring your engagement and retention challenge. You'll leave the conversation with a clear technical path to put the right content in front of every user.