Automates complex business decisions, reducing manual workloads by 60–80%
Enables enterprise-wide AI transformation without disrupting existing IT infrastructure
Achieves revenue uplift of more than 10% in optimized revenue streams
Offers 95%+ pricing accuracy, with continuous AI adjustments
Reduces time to onboard new clients from years to weeks
Fetcherr built a next-generation AI ecosystem on Google Cloud, enabling legacy industries to shift from manual processes to real-time business decision-making at scale.
Fetcherr built a next-generation AI ecosystem on Google Cloud, enabling legacy industries to shift from manual processes to real-time business decision-making at scale.
AI-powered decision-making for the next generation of business
The Google Cloud ecosystem is a powerful catalyst for our innovation. By providing a stable and supportive cloud environment with strong SLAs and effective problem-solving, we are able to push the boundaries of AI development. This means we can truly focus on creating next-generation solutions.
Uri Yerushalmi
Chief AI & Co-founder, Fetcherr
In today’s data-driven world, business decisions must account for a constantly shifting landscape of variables: competitive pressure, consumer behavior, operational constraints, external events, and more. Relying on human intuition or static rules no longer suffices. That's where Fetcherr steps in.
Built on a proprietary Large Market Model (LMM), Fetcherr is an AI-native decision engine that simulates real-world market behavior and executes goal-based strategies in real time. Unlike traditional tools that analyze data retrospectively, Fetcherr forecasts, optimizes, and acts - bridging pricing, inventory, and operational decisions with one centralized AI brain. Everything runs securely and seamlessly on Google Cloud's infrastructure for low-latency execution at global scale.
"The Google Cloud ecosystem is a powerful catalyst for our innovation. By providing a stable and supportive cloud environment with strong SLAs and effective problem-solving, we are able to push the boundaries of AI development. This means we can focus on creating truly next-generation solutions, backed by an infrastructure that ensures we deliver exceptional tech to our clients," says Uri Yerushalmi, Chief AI & Co-founder at Fetcherr.
Fetcherr's LMM (Large Market Model) requires immense computing power to analyze and predict complex market dynamics in real time. Google Cloud offers AI-first architecture, including Vertex AI and BigQuery, which enables Fetcherr to process massive datasets quickly, deploy ML models at scale, and deliver fast, explainable predictions to clients.
Transforming the business core: From silos to synchronization
Fetcherr enables enterprises to automate and optimize complex decisions across multiple domains, replacing fragmented workflows with unified, goal-driven execution. By connecting siloed departments through AI, businesses streamline operations, eliminate inefficiencies, and unlock value at every layer from pricing and inventory to demand forecasting and network design.
"We realized that in order to support our customers in the different layers of their business decision-making, we needed a scalable, trustworthy cloud environment. By choosing Google Cloud, we ensured that the output of our innovative Large Market Model was delivered to our clients in the best standards possible," says Uri Schatzberg, VP R&D at Fetcherr.
These transformations translate directly to impact: improved load factors, optimized pricing points, fewer missed opportunities, and enhanced customer satisfaction. With real-time AI decisions guiding every operational move, businesses reduce manual work, accelerate time to action, and adapt continuously to changing market dynamics.
We realized that in order to support our customers in the different layers of their business decision-making, we needed a scalable, trustworthy cloud environment. By choosing Google Cloud, we ensured that the output of our innovative Large Market Model was delivered to our clients in the best standards possible.
Uri Schatzberg
VP R&D, Fetcherr
Proving AI value in the airline industry
By using Vertex AI for deploying our models we are able to innovate faster, supporting forward-thinking companies in the aviation space in their journey to become AI-driven businesses.
Uri Schatzberg
VP R&D, Fetcherr
Few industries are as operationally intense and price-sensitive as aviation. Airlines must make thousands of real-time decisions daily, across multiple routes, fluctuating demand curves, and competitive landscapes. Fetcherr's clients including Delta, Virgin Atlantic, Azul, Viva Aerobus, and WestJet are using the platform to reimagine how those decisions are made.
Viva Aerobus was the first airline to implement a real-time pricing engine powered by Fetcherr. The system dynamically prices each query based on actual market signals, demand shifts, and business goals, ensuring higher accuracy and faster response times. Azul and WestJet adopted Fetcherr to modernize pricing and resource planning, replacing outdated models with continuous optimization that adapts to volatility.
Virgin Atlantic and Delta have deployed the system to support long-term automation strategies that free teams from manual rules and unlock strategic focus.
"By using Vertex AI for deploying our models we are able to innovate faster, supporting forward-thinking companies in the aviation space in their journey to become AI-driven businesses," says Schatzberg.
Built for scale, speed, and security
A key reason Fetcherr chose Google Cloud is its ability to support strict data privacy and governance requirements. Google Cloud's infrastructure aligns with global compliance frameworks like GDPR and offers advanced tools for secure data handling, access control, and auditing. This makes it an ideal environment for Fetcherr's white-box AI model, which prioritizes transparency, explainability, and ethical data practices.
Uri Yerushalmi
Chief AI & Co-founder, Fetcherr
At the heart of Fetcherr's innovation lies its foundational model, goal-based system that includes a generative Large Market Model (LMM) used to simulate millions of market scenarios before selecting the most profitable and sustainable action. Fetcherr processes massive volumes of internal and external data, including historical sales, real-time demand, competitive prices, macroeconomic indicators, and operational capacity.
All of this is run through a centralized platform that combines data ingestion, simulation, decision-making, and deployment in one unified environment. "A key reason Fetcherr chose Google Cloud is its ability to support strict data privacy and governance requirements. Google Cloud's infrastructure allows Fetcherr to align with global compliance frameworks and offers advanced tools for secure data handling, access control, and auditing. This makes it an ideal environment for Fetcherr's white-box AI model, which prioritizes transparency, explainability, and ethical data practices," says Yerushalmi.
By leveraging Google Cloud, Fetcherr ensures that its privacy-first approach is not only preserved but strengthened at scale.
The future of intelligent business operations
As more companies look to embed AI into their operational core, Fetcherr represents a new model for enterprise execution. It's not about analytics dashboards or optimization tools, it's about AI that thinks, plans, and acts across the business pipeline.
This vision is made real by the combination of Fetcherr's LMM and Google Cloud's elastic architecture. Together, they enable a new generation of companies to become AI-native: faster, more efficient, more responsive, and fully aligned with strategic goals.
For Fetcherr, this is not just an evolution of pricing, it's the foundation of the AI-powered enterprise.
Founded in 2019, Fetcherr is transforming enterprise decision-making with its proprietary Large Market Model (LMM) — a generative AI system that simulates markets and executes real-time strategies. Trusted by Delta, Virgin Atlantic, WestJet, Azul, and Viva Aerobus, Fetcherr drives pricing, inventory, and operations optimization without disrupting legacy systems.
Industry: Technology
Location: Israel
Products: Google Cloud, BigQuery, Cloud Identity-Aware Proxy (IAP), Cloud Storage, Dataflow, Google Kubernetes Engine, Vertex AI
About Google Cloud partner- Sela
With 450 experts and 30 years of proven experience, Sela helps customers around the world with their architectural, infrastructure, development, and automation work.
