Prior Foundry: Test policy decisions before they reach production

Prior Foundry: Test policy decisions before they reach production

Prior Foundry’s public page describes a policy workflow: research evidence, simulate impacts on realistic populations, and draft decision-ready documents with transparency and auditability. Its page frames the work as moving from a decision to delivery and lists research-backed AI capabilities for public use.

The buyer is a policy team that needs to inspect a proposed rule before releasing it. The important decision is the boundary between simulation and approval. A useful first review would take one policy, name the population assumptions, compare two versions, and assign a human owner to approve the resulting brief. The test is whether a reviewer can trace an output back to its evidence and see where the simulation stops.

The public packet is deliberately small: a homepage and privacy page. It does not establish which policy formats are accepted, what populations can be simulated, how version comparisons are calculated, or how false positives are handled. Those are the questions a buyer should settle before treating a research result as a decision document.

Quick facts

Field	Sourced detail
Buyer	Policy teams preparing evidence-backed decisions
Workflow	Evidence research → population-impact simulation → decision-ready document
Approval workflow	The public page does not establish who approves a policy release
Evidence boundary	Coverage, accuracy, false-positive rates and policy outcomes are not established

Sources checked

official Speedrun profile · product page · privacy page

Sources checked — September 20, 2026.