Perplexity answers with citations. PariPAI answers with consensus
Perplexity is search with a single model summarizing sources. PariPAI is a reasoning layer: multiple frontier models answer the same question in parallel, critique each other, and produce one consensus answer with explicit disagreement markers.
Different jobs
Use Perplexity when the task is finding and citing current sources. Use PariPAI when the task is judgment — deciding, comparing, or stress-testing a call.
What consensus adds
A cited summary is still one model reading sources. Cross-model review exposes reasoning errors and blind spots that any one model, cited or not, would carry through.
Both, together
PariPAI includes web search, so grounded sources feed the parallel models rather than replacing their cross-review.