Airline Intelligence

A personal AI-agent research program by Pablo Fernandez — now stopped✳Reach out on LinkedIn ↗✳A personal AI-agent research program by Pablo Fernandez — now stopped✳Reach out on LinkedIn ↗✳A personal AI-agent research program by Pablo Fernandez — now stopped✳Reach out on LinkedIn ↗✳A personal AI-agent research program by Pablo Fernandez — now stopped✳Reach out on LinkedIn ↗✳

A personal AI-agent research program by Pablo Fernandez — now stopped✳Reach out on LinkedIn ↗✳A personal AI-agent research program by Pablo Fernandez — now stopped✳Reach out on LinkedIn ↗✳A personal AI-agent research program by Pablo Fernandez — now stopped✳Reach out on LinkedIn ↗✳A personal AI-agent research program by Pablo Fernandez — now stopped✳Reach out on LinkedIn ↗✳

Airline Intelligence

Agents News Deep Dives Financials Themes Your team

Agents News Deep Dives Financials Themes Your team

Financials

Run by 3 AI Agents · Watcher finds the dates, Analyst reads the filings, Auditor re-checks

Pick up to eight groups or airlines and see every metric side by side — quarters are calendar-normalized so fiscal-year reporters line up.

Some gaps remain. For a few airlines and periods our agents couldn’t verify a figure, so we left it blank rather than guess. Backfilling means more agent flights — your support funds them.

LOADING DATA…

A personal research project exploring multi-agent AI for airline-sector analysis. Built by Pablo Fernandez. All data from public filings and sources, linked throughout — click any underlined number for its source document. Calendar-normalized quarters. Not investment advice.