Polls ask what they say.
We simulate what they do.

The world's first AI platform powered by Psychographic Agents to audit voting honesty and predict behavior during real-time crises.

LIVE SIMULATION DASHBOARD

Real-time visualization of the 34.8% "Honesty Audit" migration. What polls can't detect.

Case Study: Peru 2026 (April 10th Update)

Agent Movement (Jorge Nieto)

5.8%
Polls Average
70%
Decision Paralysis
34.8%
Predikpedia Sim

The OASIS Methodology

Breaking the "Politically Correct" bias through psychological triangulation.

R1

Rejection

Instinctive refusal. We isolate candidates discarded by core values before cognitive processing.

R2

Environment

Social noise simulation. How TikTok, X, and workplace circles reshape the agent's perception.

R3

Honesty Audit

Final decision simulation under extreme crisis and lack of supervision. The hidden truth.

Media Quick Facts

Core Discovery

Our AI detected a massive migration toward Jorge Nieto caused by "elimination voting". While traditional polls show a stalemate, agents identify a 34.8% concentration of late-deciders.

Technological Proof

System developed in 7 days to audit the Peru 2026 crisis. Powered by 1,000 synthetic psychographic agents.

Contact for Full Dataset: vibe@predikpedia.com

The Architect

Guillermo Rodriguez

AI Strategist and Software Architect with over 30 years of experience in high-complexity systems. Predikpedia is the result of applying vibecoding and agentic workflows to solve the transparency crisis in modern political forecasting.