Beamup Tech Stack

Agentic AI for supply chain visibility and autonomous inventory management

Software Development Tel Aviv, Tel Aviv 11–50 employees Founded 2019 Privately Held

Beamup builds AI agents that autonomously identify root causes in supply chains and predict inventory health risks for enterprise retailers and manufacturers. The tech stack reveals a maturing ML infrastructure — PyTorch, TensorFlow, Langfuse, LangSmith, MLflow running on AWS/GCP/Azure — paired with production ETL pipelines and real-time systems. Active projects around demand anomaly detection and financial process automation signal a shift from reactive inventory management toward predictive, autonomous action.

Tech Stack 30 technologies

Core StackSalesforce Intercom Zendesk Tableau Python pandas NumPy scikit-learn PyTorch TensorFlow AWS Apache Spark Apache Airflow MLflow SageMaker Docker Kubernetes QuickBooks Amazon QuickSight SQL GCP Azure Langfuse LangSmith Vertex Excel

What Beamup Is Building

◆Challenges

Replacing reactive workflows
Inventory health issues
Operational inefficiencies
Manual triage
Reducing losses
Scalable financial processes
Month-end close processes
Statutory filings and reporting
Execution issues
Maintaining operations during staff absence

▲Active Projects

Customer onboarding
Executive business reviews
Platform integration
Inventory risk prediction
Demand anomaly detection
Root-cause analysis
Production-grade etl/elt pipelines
Data architectures for agentic systems
Real-time ai systems
Build scalable and accurate financial processes

Hiring Activity

Decelerating7 roles · 1 in 30d

Department

Data

Finance

Ops

Sales

Support

Seniority

Senior

Manager

Mid

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About Beamup

Beamup is a supply chain AI company founded in 2019, based in Tel Aviv. The platform targets enterprise retailers and manufacturers operating complex multi-location supply chains. Core capabilities include root-cause analysis of stockouts, inventory health prediction, and autonomous or collaborative action-taking. The company operates across data engineering, finance, sales, and customer success, with hiring concentrated in data roles and senior-level talent—suggesting a move toward scaling ML infrastructure and customer GTM. Active challenges center on replacing manual triage workflows, reducing inventory losses, and building scalable financial processes (month-end close, statutory reporting).

HeadquartersTel Aviv, Tel Aviv

Company Size11–50 employees

Founded2019

Hiring MarketsIsrael, United States

Frequently Asked Questions

What tech stack does Beamup use?

Beamup runs Python, PyTorch, TensorFlow, pandas, scikit-learn on AWS/GCP/Azure. ML ops: MLflow, Langfuse, LangSmith. Data: Apache Spark, Airflow, SQL. BI: Tableau, QuickSight. Salesforce, Zendesk, Intercom for customer engagement.

What is Beamup working on?

Active projects: inventory risk prediction, demand anomaly detection, root-cause analysis, production ETL/ELT pipelines, real-time AI systems, financial process automation, and customer onboarding. Platform integration and executive business reviews also active.