What is Synthetic Vertical Simulator?
Synthetic Vertical Simulator is a Cassi.ai product for market research. It is a 2D social simulator, built like a pixel-art game, where the client's consumers, rebuilt as synthetic personas, walk through a virtual copy of the environment where the decision happens, talk in speech bubbles written by a language model, reply to each other in small groups and answer the researcher in a direct chat.
Can I talk to any persona?
Yes. Approach any persona in the world with your avatar, or open her card in the Persona Lab, and start a chat. Ask about purchase routines, preferences, brands she trusts, what she would do in front of a concept. She answers in her own voice, with the drivers, the inner tension and the taboos of her profile. The exchange stays in the transcript feed with a timestamp.
What data do the personas come from?
From the client. In a project, the company provides the material it already holds about its consumers: past studies, segmentations, transcripts of interviews and groups, CRM signals when allowed. That material becomes the context of each persona. In the demo, the nine personas have example profiles, in four generational clusters. Project profiles are built the same way Synthetic Lab builds its personas: https://syntheticlab.cassiai.com/
What is context engineering?
It is the work of choosing and organizing the material a persona receives before answering. Instead of asking a language model what 'a class B mother' would say, the persona receives as context the studies, segmentations and transcripts the client provided, and the answer comes out of that material. Without that context, the answer would come from the internet average. With it, the answer comes from what the company already knows about that consumer.
Can you build an environment that does not exist yet?
Yes. Six worlds come ready: mall, supermarket, plaza, dealership, beach and office. Any other environment the client cares about can be built for the study: a pharmacy, a bank branch, an airport, a gym, a school, a restaurant, an e-commerce checkout, a home. That includes a space still on the drawing board, such as a store format the company wants to test before opening it. The activities of that place, such as buying, comparing, queuing and asking staff, are replicated with it.
What kinds of discussion can I run?
The discussion takes the shape the question needs. A one-to-one interview with a persona in context. A group of personas debating a stimulus, like a small focus group. A concept and message test, showing and asking. A shelf, store or showroom walk-through, zone by zone. A journey and friction observation, stop by stop. A scenario exploration, such as a price change or a stock-out, run as a conversation with the cluster. In all of them, you ask and the persona answers from her profile.
Does it replace fieldwork?
No. It is a simulation environment. It serves the questions that come before or between real studies, and it helps the team choose what deserves a real visit or a real sample. When a decision needs a real sample, the study goes to field.
Is my data isolated, and is the output labeled synthetic?
Yes on both counts. Each project's material is kept apart from any other client's, and the language-model keys stay only in the server's memory during the session. Every line on screen is labeled synthetic, and the simulator shows only what exists today: the transcript feed, the activities by cluster and the detected patterns. Heat maps, exports and reports are project work, agreed case by case.