Fetcherr nets $90 million for GenAI pricing engine
Fetcherr nets $90 million for GenAI pricing engine
The Algo based company developed an agnostic AI-driven market engine and aims to disrupt traditional legacy revenue systems through deep learning methodologies, beginning with the airline industry
Israeli startup Fetcherr, which has developed a generative AI pricing, inventory and publishing engine, announced on Wednesday the closing of its Series B round totaling $90 million. Around $65 million are estimated to have come from secondary investments. The round was led by Battery Ventures with participation from all existing investors.
Founded in 2019 by Roy Cohen (CEO), Dr. Uri Yerushalmi (Chief AI), Robby Nissan (CSO), and Shimi Avizmil (CTO), Fetcherr aims to disrupt traditional, rule-based (legacy) revenue systems through deep learning methodologies, beginning with the airline industry. The technology enables granular high-frequency pricing, inventory management and direct publishing capabilities through a Large Market Model (LMM) and generative products, including the Generative Pricing Engine (GPE) and Generative Inventory Engine (GIE). Fetcherr can implement its GPE to output a recommended price at the time a search query is made, achieving real-time pricing.
Fetcherr recently announced partnerships with Viva Aerobus and WestJet, which joined existing partners like Virgin Atlantic, Royal Air Maroc and Azul Airlines. The company aims to broaden the reach of its LMM, GPE and GIE capabilities into other legacy markets in 2025.
“Fetcherr continues to innovate and expand its product portfolio to address the longstanding pain points the airline industry has struggled with for years,” said Ziv Gafni, President and General Manager of New Markets at Fetcherr. “We look forward to leveraging our AI-driven market engine to onboard new clients and scale into new verticals, enabling real-time, data-driven decision-making and optimizing revenue generation for our partners.”
