OTT and video
Test a new home-row strategy, a “next episode” rule or an artwork change against simulated viewers.
AI simulation engine
See the effect of a change before your users do.
vecsai Sim builds a simulated audience from the statistics of your platform — who watches, buys and scrolls, how often and in what patterns — and an AI agent coordinates the run, deciding where to look closer and keeping large simulations fast and affordable. Run the change you are about to ship — a new ranking, a new recommendation strategy, a catalogue update — and see which metrics move, for which audiences, before a single real user is exposed.
Example report · 50,000 simulated viewers · 30 days
Features
What vecsai Sim does
AI-coordinated runs
An LLM agent plans and steers each simulation, focusing effort on the segments and moments that matter, so you get answers without simulating everything at full cost.
Simulated audiences
Synthetic users built from your platform's statistics, with behaviour models for watching, shopping and scrolling — sessions, binges, carts and feeds.
Side-by-side comparison
Run the current and the proposed version on the same simulated audience and compare the results directly.
Metrics that matter
Watch time, click-through, conversion, catalogue coverage, diversity and long-tail exposure.
Faster than A/B tests
Discard weak ideas in hours instead of weeks, and send only the promising ones to a live A/B test.
Bring your own system
Simulate vecsai Search and Recommend, or put vecsai Sim in front of the search or recommender you already run.
Use cases
Where teams use it
E-commerce
Simulate a seasonal re-ranking, a new boosting rule or a catalogue expansion before it reaches shoppers.
Social media
Explore how a feed ranking change affects engagement, creator exposure and content diversity.
FAQ
Questions about vecsai Sim
Does vecsai Sim replace A/B testing?
No — it comes before it. Simulation narrows many ideas down to the few worth a live test, so fewer real users see weak variants.
Do we have to use vecsai Search or Recommend?
No. vecsai Sim can evaluate any search or recommendation system that it can call.
How are the simulated users built?
From statistical behaviour models built on your platform's data, segment by segment. An AI agent coordinates the simulation on top of them, so it stays affordable even with very large audiences.
What data does it need?
Historical interaction logs and your catalogue. They are used to build the simulated audience for your platform.
Works with
The rest of the platform
vecsai DB
Text, vector and hybrid search in one fast engine.
Learn morevecsai Search
Search that understands what people mean.
Learn morevecsai Recommend
Personal recommendations for every user, in real time.
Learn moreSee vecsai on your own catalogue
Tell us about your platform and we will show you search, recommendations and simulation running on your data.