Fetcherr creates a deep learning-powered AI-powered real-time demand predictor and action optimizer. This enables them to provide legacy organizations with cloud-based continuous pricing systems and workflow optimization. Through reinforcement learning methodologies, its real-time centralized pricing engine aims to disrupt traditional rule-based(legacy) revenue systems.The company was founded in 2019 by experts in deep learning, algo trading, e-commerce, and legacy architecture digitization.

AI/ML

Information Technology

Fetcherr

Fetcherr's headquarters in Netanya, Israel

This department oversees and coordinates project planning, execution, and delivery to ensure successful outcomes.

Project Management

This department focuses on analyzing and engineering data to drive insights and solutions for the organization.

Data Science and Engineering

The Data Science & Engineering team at Fetcherr is responsible for developing and implementing deep learning and machine learning models to power the company's real-time demand predictor and action optimizer. The team leverages advanced data analytics, reinforcement learning, and AI techniques to create and refine continuous pricing systems and optimize workflows, ensuring efficient and scalable solutions for legacy organizations. They collaborate to enhance the central pricing engine and maintain the robustness and accuracy of Fetcherr's AI-driven applications.

Data Science & Engineering

This department oversees the development and execution of product strategies, ensuring alignment with market needs and business goals.

Product Management

The Leadership Team at Fetcherr is responsible for setting and driving the company's strategic vision and operational execution. This includes overseeing financial health, strategic planning, data science initiatives, AI advancements, sales strategy, and product innovation to ensure the continuous development and deployment of their real-time demand prediction and pricing optimization solutions. Each member brings specialized expertise to guide the company in its mission to revolutionize legacy revenue systems using deep learning and reinforcement learning methodologies.

Leadership Team

This department is responsible for designing, building, and maintaining software applications across various platforms.

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Other teams

Data Science and Engineering

Data Science & Engineering

Product Management

Leadership Team

Software Development