AI-powered problem prioritization system

Reverse Democracy AI

Problems compete. People do not.

Active problems0
System risk0/100
Top score0/100
Fastest action window0 days

Live intelligence

Problem leaderboard

RankProblemScoreWindow
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Command center

System view

0loading

Aggregate risk updates as signals are ingested, clustered, and rescored.

Problem densityNo district

Core engine

Six-step pipeline

01Collect

APIs, portals, social, sensors, and direct input

02Understand

LLM semantics, sentiment, entities, geography

03Detect

Cluster signals into living Problem Objects

04Score

Six-dimensional urgency index from 0 to 100

05Simulate

Model 30/60/90-day future states

06Recommend

Evidence-backed intervention windows

Simulation engine

Cost of doing nothing

Run a simulation to compare no-action and intervention outcomes.

Signal intake

Direct input

Technical architecture

Designed for scale

Layer 5Analytics and output

Leaderboard, simulations, heatmaps, alerts

Layer 4Problem graph

Neo4j relationships, temporal tracking, scoring

Layer 3AI processing core

LLM engine, NLP, entity resolution, clustering

Layer 2API gateway

Auth, routing, rate limiting, embedded widgets

Layer 1Frontend

React/Next.js dashboard and mobile surfaces

Explainability firstPrivacy by defaultHuman in the loop