About us
Fetcherr is the Israeli startup that has developed a proprietary AI-powered goal-based
enterprise pricing and workflow optimization system.
Founded in 2019 by experts in deep learning, Algo-trading, e-commerce, and digitization of legacy architecture, Fetcherr aims to disrupt traditional rule-based (legacy) revenue systems through reinforcement learning methodologies, beginning with the airline industry.
Fetcherr in the Media



Technology Guidelines
Reinforcement learning (RL)
An area of AI and machine learning concerned with decision making.
In RL, the agent learns to achieve
a goal in an uncertain, potentially complex environment by taking actions in order to maximize a cumulative reward.
User-Centric Approach (UCA)
A design based upon the explicit understanding of users, tasks, and environments is driven and refined by a user-centered real-time evaluation process in order to address the complete user experience.
Glass Box Approach
In contrast to a black box approach,
a glass-box approach offers increased transparency and enables interpretation. In a glass box model, we understand exactly how the model came to its conclusions, erasing technical complexity while empowering users to become more efficient.
Our Product
“ALPHA” by Fetcherr
ALPHA was created to enable airlines to seamlessly migrate outdated legacy infrastructure to a new retail environment. It supplies a real-time demand predictor and actions optimizer to maximize success in line with defined organizational objectives.
A centralized autonomous AI deep learning software-based model.
Our model uses sophisticated AI architecture, very similar to those utilized in financial markets, to continuously forecast demand, optimize the price of a product or service, and accurately predict and react to competitor behavior.

Added Value
ALPHA is an EAAS (Enterprise As A Service) system that helps the travel industry adopt and yield the benefits of the most sophisticated technologies available for Revenue Management and full-scale personalized pricing:
Real-time Demand prediction system based on the most advanced deep learning technologies.
Powerful pricing optimization engine with explainable AI.
Real-time connection to
COVID-19 data.
Direct ATPCO integration,
tracking global fare changes
in real-time.
Workflow optimization using glass box methodologies.
Zero risk onboarding that does
not interfere with current IT
infrastructure.
Seamless integration with any existing legacy infrastructure.
Advanced UX employing
a user-centric approach.
Real-time analysis of
competitors’ behavior.
Product Flowchart
Input
Collects and analyzes multiple data points:
customer data, competitor data, COVID-19
data, and much more.
Output
ALPHA uses proprietary AI deep learning algorithms to autonomously find correlations in the vast amount of inserted data and predicts demand curves per seat in order to generate real-time accurate pricing recommendations.
Fetcherr’s Data Lake


Customer’s Private Data Lake

AI Optimizer Module

Autonomous Actions
AI Predictor Module
competitors Behavior

Recommendations & Justifications

Partners


Leading Team
Founded in 2019 by five partners with more than 20 years of experience in technology, AI, algo trading, e-commerce, marketing, SaaS development, and retail, Fetcherr addresses the biggest challenge confronting every modern market: predictive pricing.

Roy Cohen
Co-founder & CEO

Robby Nissan
Co-founder & CSO

Alex Cruz
Board Member & Aviation Industry Expert

David Solomon
Chairman of Board

Dr. Uri Yerushalmi
Co-founder & Chief AI

Shimi Avizmil
Co-founder & CTO

Paulo Goldberg
CCO

Erez Konfino
CFO
Market Experts

Michal Wachterman
VP, Product Strategy & Innovation

Noya Cohen-Shalom
Customer Success
