Plans that scale with your research.

Synthetic market research uses AI personas, grounded in human data, to simulate how an audience is likely to respond: purchase intent, preference, willingness to pay, and reactions to messages. In SYMAR you build synthetic personas and segments, ground them in your own research and documents, and use them across surveys, interviews, focus groups, and creative evaluation. It is best used to explore, compare, and refine before you commit budget or human fieldwork, not to replace research with real people.

Personas are built with an architecture that layers traits such as age, occupation, income, and OCEAN personality over multiple LLMs, and grounds them in your data through memory. A price-sensitive parent in Berlin should react differently from a tech-forward student in San Francisco. Customers compare outputs against their own historical research, and results depend on the task, audience definition, and grounding. Our position is that synthetic research augments human research; it does not replace it.

SYMAR convenes multiple synthetic personas with an AI moderator. The moderator follows your guide, asks follow-ups, and manages the flow of discussion while personas react to each other. You receive a full transcript and thematic analysis, so you can see how different segments influence one another. It simulates group discussion; it is not a substitute for observing a real group.

The difference is capacity and customization. SYMAR Project (€99 / $119 per month) is for individual researchers or teams running a proof of concept or a focused study, with all foundational models, standard segments, and a fixed 400 credits per month. SYMAR Program (from €199 / $239 per month) is for teams building a proprietary research engine. It starts at 1,000 credits per month, lets you buy more credits whenever you need them, and can be extended with custom add-ons such as proprietary data ingestion, custom models, and single-tenant infrastructure.

A credit represents a unit of intellectual work performed by the AI. Asking a persona a question or receiving a survey response costs 1 credit, while asking a more powerful model with additional reasoning costs 3 credits. Analyzing complex inputs such as videos or large PDF documents consumes credits at a higher rate based on file size and complexity. Your current credit balance is always visible in your workspace dashboard.

Yes, on both SYMAR Project and SYMAR Program. Study Assistant uses your plan's credits and shows what each step and each run will cost before anything is charged.

No. SYMAR Project includes a fixed 400 credits per month, and additional credits can't be purchased on it. If your research needs more capacity, move to SYMAR Program, which starts at 1,000 credits per month and lets you buy more credits whenever you need them.

Add-ons are not included in the Program's monthly price. Proprietary data ingestion, custom model building, single-tenant infrastructure, enablement sessions, and custom feature builds are each scoped with your team and quoted as part of a custom deal. They are available on SYMAR Program only.

Yes. Every plan has a set price in both euros and US dollars: SYMAR Project is €99 or $119 per month, and SYMAR Program starts at €199 or $239 per month. Use the EUR / USD switch above the plans to see prices in your currency.

Yes. We gladly support our academic friends and students. Reach out to hello@symar.ai and we would be happy to discuss this further.

Privacy is the default. We do not use your inputs to train public base models. Data is stored only to serve your workspace, so deleting a transcript in the app removes it from the backend with no recovery. For stricter enterprise requirements, single-tenant infrastructure is available as a Program add-on, so your data and models live in an isolated environment.

Yes. There is a limited trial account you can access, though it shows only a small part of what SYMAR can do. For deeper proofs of concept we can arrange something that matches your needs.