Real-time political simulation built on constituent signal. PollSee simulates verified constituent and elected-official personas to predict how proposed laws, bills, or policy changes will play out, telling regulated companies whether a proposal passes, which legislator to engage, and when to act.
2
Clients
$265K
ARR
A real-time political simulation platform that builds accurate political personas from first-party verified constituent data, then tests any proposal, bill, or policy change against those personas to return a decision: whether it passes, which legislator to talk to, and when to engage. Built for venture-backed companies in regulated markets that currently rely on expensive relationship-based lobbying firms ($20K-$50K/month retainers) or AI polling tools trained on generic population panels. Achieved 86% accuracy across 30 predictions, including correctly calling a 4-to-2 NYC council committee vote and both member flips.
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