OTT and video
Test a new home-row strategy, a “next episode” rule or an artwork change against simulated viewers.
vecsai Sim models how users on your platform behave and replays that behaviour against the change you are about to ship — a new ranking, a new recommendation strategy, a catalogue update. You see which metrics move, for which audiences, before a single real user is exposed.
Example report · 50,000 simulated viewers · 30 days
Synthetic users built from the behaviour patterns observed on your platform, segment by segment.
Run the current and the proposed version on the same simulated audience and compare the results directly.
Behaviour models designed for watching, shopping and scrolling — sessions, binge patterns, carts and feeds.
Watch time, click-through, conversion, catalogue coverage, diversity and long-tail exposure.
Discard weak ideas in hours instead of weeks, and send only the promising ones to a live A/B test.
Simulate vecsai Search and Recommend, or put vecsai Sim in front of the search or recommender you already run.
Test a new home-row strategy, a “next episode” rule or an artwork change against simulated viewers.
Simulate a seasonal re-ranking, a new boosting rule or a catalogue expansion before it reaches shoppers.
Explore how a feed ranking change affects engagement, creator exposure and content diversity.
No — it comes before it. Simulation narrows many ideas down to the few worth a live test, so fewer real users see weak variants.
No. vecsai Sim can evaluate any search or recommendation system that it can call.
Historical interaction logs and your catalogue. They are used to build the simulated audience for your platform.
Text, vector and hybrid search in one fast engine.
Learn moreSearch that understands what people mean.
Learn morePersonal recommendations for every user, in real time.
Learn moreTell us about your platform and we will show you search, recommendations and simulation running on your data.