Zerolook secures $1.9M to address AI search volumes
Swiss startup Zerolook raised $1.9 million in pre-seed funding for its machine learning product that predicts flight prices and itineraries, aiming to reduce search volumes on airline systems. According to OAG, up to 20,000 searches are currently needed to generate one ticket sale, and agentic AI could push that to 200,000. Zerolook's model is trained on historical fare, schedule, and availability data, providing predicted itineraries and prices with confidence scores.
Impact and considerations
Zerolook's technology aims to reduce the burden of AI searches on airline systems, potentially impacting ticket distribution costs and efficiency, with implications for business travel booking.
Key points
- Zerolook raised $1.9M in pre-seed funding led by Playfair.
- OAG data shows up to 20,000 searches per ticket sale, potentially rising to 200,000 with agentic AI.
- Zerolook uses machine learning to predict prices and itineraries with confidence scores.
- The company aims to reduce search volumes on airline systems, lowering technology costs.
Sources and time
- Primary source
- PhocusWire / Phocuswright
- Other sources
- 0
- First source publication
- 11 Aug 2026, 17:00
- Page published
- 13 Aug 2026, 08:10
- Last updated
- 11 Aug 2026, 17:00
- Original links
- PhocusWire All News：Zerolook secures $1.9M to address AI search volumes (opens in a new tab)Primary source · en · Published 11 Aug 2026, 17:00