Fetcherr Tech Stack

AI-powered pricing and demand prediction platform for enterprise markets

Software Development Netanya, israel 201–500 employees Founded 2019 Privately Held

Fetcherr builds a Large Market Model—a generative AI system designed to simulate and predict supply, demand, and competition dynamics in real time. The tech stack reveals a data-science and ML-infrastructure-focused organization: Python, PyTorch, TensorFlow, and LLM integrations (OpenAI, Claude, Gemini) paired with orchestration tools (Airflow, Dagster) and distributed processing (Spark, Dask, Kubernetes). Heavy hiring in data and engineering roles, combined with active projects around simulation engines, MLOps automation, and causal measurement frameworks, signals an organization scaling toward production-grade AI systems for enterprise operations—not prototype stage.

Tech Stack 59 technologies

Core StackPython Dagster Apache Airflow NumPy Pandas Kubernetes Docker OpenAI LangChain Hugging Face PyTorch TensorFlow scikit-learn Vertex AI Apache Spark AWS GCP Git SQL SciPy Claude Gemini LlamaIndex Google Cloud Pub/Sub Google Cloud Functions LangGraph Polars Dask Azure Pytest+29 more

AdoptingKubernetes Apache Airflow Dagster Docker

What Fetcherr Is Building

◆Challenges

Managing large-scale data pipelines
Scaling data infrastructure for real-time pricing
Translating complex business rules
Optimizing data pipelines for llm training
Novel uplift measurement approaches
Accurate pricing simulation
Scaling mlops pipelines
Building robust scalable data pipelines
Ensuring simulation reflects real-world pricing
Optimizing pricing algorithms

▲Active Projects

Simulation engine
Price optimizer
Large-scale data pipelines
Mlops pipeline automation
Machine learning product infrastructure
Causal-uplift measurement framework for pricing models
Mathematical models powering decision-making logic
Extend existing automation framework
Distributed data processing workflows
Research and experimentation for uplift measurement and a/b testing

Hiring Activity

Steady70 roles · 25 in 30d

Department

Data

Engineering

Product

Design

Support

Seniority

Senior

Mid

Lead

Director

Junior

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About Fetcherr

Fetcherr is an AI company founded in 2019 that provides predictive decision intelligence for enterprise pricing and inventory operations. The platform's core is a Large Market Model that continuously simulates market conditions and generates real-time pricing and operational recommendations. The company operates at scale across Europe and North America, with engineering and data teams concentrated in Israel, Poland, and the United States. Active projects span simulation engines, price optimization, large-scale data pipelines, MLOps automation, and causal measurement frameworks for uplift testing—indicating a mature, infrastructure-heavy product serving mid-market to enterprise customers navigating complex competitive environments.

HeadquartersNetanya, israel

Company Size201–500 employees

Founded2019

Hiring MarketsPoland, Israel, United States

Frequently Asked Questions

What is Fetcherr's core technology?

Fetcherr's platform centers on a Large Market Model (LMM)—a generative AI model designed to simulate supply, demand, competition, and external signals as a continuous market environment, enabling real-time pricing and operational decisions.

What tech stack does Fetcherr use?

Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face, GCP, Kubernetes, Docker, Airflow, Dagster, Spark, and Dask. Integration with LLMs: OpenAI, Claude, Gemini via Vertex AI and LangGraph.