Agency white-label “You’re an agency. You need a validated AI model.”

Your methodology. Your client. Our engine, white-labeled.

Agencies are being asked for AI capability, but client data-science teams ask for validation. Building the engine in-house takes time and expertise. Licensing a vendor with marketing claims but no papers creates review risk. Simulacra is the third option: a validated engine, headless via API, with the validation papers attached.

Build vs. buy

Build vs. buy? Both options are bad.

Build cost

Building takes too long

Two AI engineers, four quarters, and a methodology team to ship something already behind. Your competitors won't wait.

Vendor risk

Most vendors won't survive review

Synthetic-respondent vendors are winning on the demo and failing on the client's validation. Don't let your agency own that failure.

Deliverable bar

Client expects a client-ready output

Cross-tabs alone are not enough. Methodology appendix, validation diagnostics, and assumption documentation have to ship with every deliverable.

Simulacra solves your delivery problem

API, docs, validation papers, and white-label delivery.

Headless API integration

OpenAPI, Auth0 M2M, idempotency keys, async jobs, stable errors, and schema-first conditioning for agency data pipelines and workflows.

Methodology appendix on every output

Holdout backtest results, performance by subgroup, known limits, recommended use. Co-brandable; client-ready.

Validation papers, public

Twin-2K-500. Pricing & Promo. Data Reduction. Show your client the same papers we showed you. The math is in the open.

Audit-grade governance

Synthetic-row labels. Scenario logs. Tenant-scoped data. SOC 2 / ISO 27001 documentation for procurement.

Standard exports

SPSS, Q, Tableau, Power BI, R, Python — the formats your reporting workflow already consumes.

Commercial flexibility

Usage-based pricing. Co-marketing where it serves both sides.

Build on the API

Agencies need unreasonably effective AI for unreasonably demanding clients.

Build a client workflow on the API — or let an AI agent run it for you, end-to-end. Computer to computer, no human handoff required.