Quantified financial impact
Base, upside, and worst-case scenarios with quarterly granularity. Probability-weighted expected value the CFO can drop into a model.
PoliMorph compresses three weeks of consultant work into thirty minutes: the regulatory landscape as product-level financial impact, with sources you can audit and numbers your board can sign.
Every number grounded in primary sources
Every simulation produces three artifacts your board, auditors, and product teams can act on. Built on primary regulatory sources, structured for finance.
Base, upside, and worst-case scenarios with quarterly granularity. Probability-weighted expected value the CFO can drop into a model.
Priority-ranked actions with cost ranges, timelines, and the regulatory exposure each one avoids. Sortable by ROI.
Every number traces back to the claim, assumption, and source URL. Defensible to legal, regulators, and the audit committee.
Pick from your catalog or add one inline. Optionally narrow to a specific product, jurisdiction, or time horizon.
Researcher + simulator agents pull primary regulatory sources, cross-check with company filings, and quantify per-policy impact.
Financial scenarios, prioritized actions, and auditable evidence, ready to brief the board or hand to legal.
Ad-supported tier vs subscription tier face different rules. Most tools flatten this. PoliMorph keeps the distinction so your product team can act on it.
Reading legal news is reactive. PoliMorph reads pending bills and signals which ones are likely to bite, when, and how hard.
Every number, every recommendation, every risk traces back through the claim, assumption, and primary source. No hallucinated citations.
Language models draft the analysis; they are never the source of truth for a figure. Every total is independently recomputed, every decomposition must reconcile to the cent, and citations that don't resolve are deleted before the report persists. The guardrails are code, not policy.
Every simulation writes dated, falsifiable forecasts to a ledger that reality — not marketing — will grade against public enforcement records. Credit teams calibrate default models against realized defaults. We do the same to ourselves.
Tell us a policy you're tracking and a product you care about. We'll run it live and walk through the analysis: scenarios, evidence, and the action plan.