Expand the audience you can’t re-field.
B2B participants run $100–$200/hour. HCPs need recruiter relationships. C-suite respondents barely exist on panels. Simulacra learns the response structure of a small but high-quality respondent population and extends it, without generating answers to questions the seed didn’t ask. The same constraint that frustrates “ask anything” vendors is what gets us through legal review with regulated buyers.
The audience is the constraint, and re-fielding isn’t an option.
$100–$200/hour B2B fieldwork
A single 30-respondent B2B wave can run $50K+. A booster sample is rarely cost-justified.
HCP & regulated audiences
Recruitment is gated by relationships, IRB, and fair-balance constraints. “Ask anything” synthetic vendors fail legal review.
Exec / decision-maker scarcity
C-suite, CISO, GP, CFO — when n=27 is the realistic ceiling, every cut leadership wants becomes an act of faith.
Expand the seed. Hold the line on what wasn’t asked.
Train on a small seed
Bring your high-quality seed data. Simulacra fits in seconds and shows you which cohorts you can boost.
Refuse the infeasible
Simulacra generates more data, under your boosts and scenarios, inside the measured schema. We don’t add unfielded questions to your research, and unsupported combinations are refused with a reason.
Audit-grade governance
Synthetic-row labels, scenario assumption logs, and methodology appendix on every output.
“We never generate answers to questions you didn’t ask.”
Pharma, financial services, healthcare payer, and government-adjacent buyers cannot approve open-ended synthetic panels that invent unfielded responses. Our bounded-inference posture is the language those reviewers approve: measured variables only, no unfielded questions, infeasible combinations refused, and synthetic-row provenance in the export.
The bounded-inference clause for your DPA / methodology appendix.
“The platform refuses to generate values for variables not present in the seed schema and refuses to generate combinations of values that no member of the respondent population could plausibly produce, with explicit infeasibility reporting.”
No access to your data. Trained zero-shot. Retention-bounded.
Simulacra runs in isolated, single-tenant containers — we have no access to the data you upload or generate. Every model is trained zero-shot inside your tenant, with no pooling across customers and no third-party sharing. Studio sessions are ephemeral; API artifacts follow short, defined retention windows. PII stays where it belongs.
No access
Simulacra operates the platform. We have no access to the data you upload, fit, or generate. Customer-managed storage and KMS keys are available for sensitive deployments.
Trained zero-shot
Each model is fit zero-shot on your data, inside your tenant. No pre-training on customer data, no pooling across customers, no third-party sharing.
Bounded retention
Studio sessions are ephemeral — the container is destroyed at session end. API artifacts follow short, defined retention windows. Audit metadata persists per the audit retention policy.
We'll co-write the methodology language for legal.
For pharma, financial services, healthcare, and other regulated industries, we’ll work with your compliance team on the methodology language that passes review. We’ve done it before.