Zerolook uses machine-learning models trained on historical fares, schedules and availability to predict flight options and prices, returning each prediction with a confidence score. The product sacrifices some real-time accuracy in order to answer far larger volumes of search queries at lower cost compared with live pricing systems. The founders—Simone Lini (ex-Google Flights/Waynaut) and George Hadjiyiannis (PhD, MIT; ex-Kayak/Google/Nvidia/eBay)—intend to validate the approach through pilot programs with online travel partners. Zerolook plans to launch its first API and expand its machine-learning team in Zurich using proceeds from the pre-seed round. The company cites industry trends—searches per ticket sold rising from hundreds to tens of thousands and projected to reach millions by 2030—that drive demand for lower-cost search infrastructure. It operates in a market for flight data APIs valued at $1.72 billion in 2025 and projected to grow to $4.67 billion by 2033, and the pilots are intended to determine whether predictive pricing is sufficiently accurate for airlines and OTAs.

Total raised

$2M

Funding rounds

1

Latest round

Seed

Latest activity

Aug 2026