This is not a reassurance page. It is the ten things worth knowing before you request access, in the order they usually come up.
A synthetic behavioural panel for pre-testing concepts. You assemble a panel of deterministic panel members, submit a stimulus, and read reasoned reactions. Every run ends with a recommendation for whether this version should be revised again or taken to real-user testing, and which profiles to recruit next. The name is literal: ante · strata, the layer before the layer.
You can, and the output will be shallow, inconsistent, and untraceable. The same prompt produces a different person each time. There is no behavioural model underneath. There is a prompt and a hope.
Antestrata panel members are deterministic, reproducible, and carry 30-character provenance identifiers you can cite across runs, studies, and decisions. That single architectural fact changes what "synthetic research" means. You stop running improv scenes and start building a body of evidence.
The synthesis method is proprietary. What we publish is the output: a behavioural object with biographical provenance, a stable identifier, and internal contradictions surfaced as first-class data.
Show-the-graph, not-the-grammar is a deliberate product principle. You will see the structural evidence that a rich model exists (provenance graphs, node counts, reproducibility across runs). You will not see the ingredients, because the ingredients are the moat. If you need that kind of architectural disclosure to evaluate the product, this is not the right product for you.
No. Antestrata is built for the stage before that round. Pressure-test the concept, sharpen it, then bring a cleaner version to real-user testing.
The product explicitly recommends whether the concept is ready for that step, plus which real-user profiles to validate with after every run. That recommendation is a first-class output, not a side feature. If a vendor in this category tells you synthetic can replace real research at population scale, they are selling a different product to a different buyer.
As sentences, not ratings. Emotional response, purchase intent, specific objections, suggestions, and the reasoning each panel member used to arrive at the reaction. Traceable through the member's life graph.
You get output like "she hesitated on the enterprise tier because the billing language pattern-matched to a dispute at her first startup, and the resolution ambiguity made her assume the same outcome." Not "4/5 stars." Not "likely to purchase." Sentences with reasoning attached.
This also matters on awkward topics. There is no moderator to please and less polite self-presentation shaping the answer when the question is personal, sensitive, or charged.
Yes. This is the single clearest difference between Antestrata and any prompt-based approach. Personas are deterministic. Same inputs produce the same person, every time, across runs weeks or months apart.
Ship v1. Iterate for a month. Re-test v2 against the exact same panel. See whether your changes actually landed with the panel members they were meant to land with. No other synthetic tool ships this as a primary workflow.
Less than the real-user session it replaces pre-testing, and meaningfully less than the cost of discovering a concept mismatch in production. Tier structure and details are on the pricing page.
Pricing is quoted directly because panel size, run cadence, and support needs matter more than a vanity starting-at number. The fit call is where that gets scoped.
Product teams, founders, growth leads, and agencies making buyer decisions weekly. Not enterprise market research programs with annual Qualtrics contracts.
The audience split is deliberate. There are excellent tools for the enterprise end of the synthetic research category. We are not one of them. If you are three pivots in and still not sure who you are selling to, if you have support tickets and CRM notes and no way to synthesise them into behavioural understanding, if you are about to burn a real-user session on a concept you already suspect is not ready, we are for you.
The behavioural synthesis engine inside Antestrata. It is the reason the panel members are deterministic and contradiction-rich, rather than shallow language-model outputs.
LifecoreML lives inside the product. It is not a separate purchase, not a public API surface, not a technology you license independently. The "powered by" treatment exists because the engine is doing real engineering work and we want that credited visually. It is not a signal that LifecoreML is sold separately. It is not.
Start by email. Access is invite-only right now. Reach out by email and, if the fit looks real, we schedule a thirty-minute call to choose the right entrance and decide whether the product actually solves your weekly-decision problem.
No sales pipeline. No BDR follow-up. If the call confirms fit, you are in. If it does not, we point you at a better-fitting tool in the category.
The ten questions above are the ones sceptics ask. If you have read them all and you are still here, the onboarding call is probably a good use of thirty minutes.