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Upstream Security Tech Stack

AI platform for automotive cybersecurity and vehicle data management

Computer and Network Security Herzliya, Israel 51–200 employees Founded 2017 Privately Held

Upstream builds a data platform purpose-built for connected vehicles, using Python, Pandas, Polars, scikit-learn, Kafka, and Spark to centralize fragmented mobility data and power AI-driven security and quality applications. The tech stack reveals a mature data-science organization (MLflow, dbt, Airflow, Prefect for orchestration) layered with infrastructure-as-code tooling (Terraform, Terragrunt, Kustomize, Flux, ArgoCD), now adopting AWS, Azure, and GCP in parallel—suggesting multi-cloud deployment strategy. Hiring is balanced across data (4), sales (4), and engineering (2), with a senior-skewed leadership mix (6 directors + managers out of 16 open roles), pointing to scaling commercial motion alongside product maturity.

Tech Stack 49 technologies

Core StackPython Pandas NumPy scikit-learn Iceberg Trino Prefect GitHub Actions Kubernetes MLflow dbt Apache Airflow Apache Spark Kafka Java Scala Kotlin Go Helm ArgoCD Terraform Polars SciPy JupyterHub Argo CD Presto XDR Flux Kustomize Terragrunt+18 more

AdoptingAWS Azure GCP

What Upstream Security Is Building

◆Challenges

After-sales vehicle quality
Integration with multiple vendor systems
Scalable data pipelines
Ml lifecycle automation
Warranty claim lifecycle
Recall campaign analysis
Scalability and reliability
Capacity and performance
Increasing qualified leads
Optimizing marketing processes

▲Active Projects

Developing core detection capabilities
Ml-driven prediction and anomaly detection models
Joint marketing and sales programs
Advanced models for automotive quality and cybersecurity
Genai-based cloud data management and security solutions
Expanding ai platform to new use cases
Product launches
Productization of ml models
Ml platform automation
Data lake architecture

Hiring Activity

Steady15 roles · 5 in 30d

Department

Data

4

Sales

4

Engineering

2

Marketing

2

Support

2

Product

1

Seniority

Senior

6

Director

4

Manager

3

Junior

1

Mid

1

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About Upstream Security

Upstream is an Israeli SaaS company (founded 2017, 51–200 employees) that delivers a cloud-based AI platform for automotive OEMs, suppliers, and mobility operators. The core product transforms distributed vehicle and IoT data into centralized, structured data lakes, then applies machine-learning models for cybersecurity detection and response (XDR), quality assurance, warranty analysis, and usage-based insurance. The company protects millions of vehicles across its customer base. Active projects span ML model productization, quality and cybersecurity detection, GenAI-based cloud data management, and platform automation—while scaling to handle integration with multiple vendor systems and growing the qualified pipeline in new geographies.

HeadquartersHerzliya, Israel

Company Size51–200 employees

Founded2017

Hiring MarketsIsrael, Japan, United States, Sweden

Frequently Asked Questions

What tech stack does Upstream Security use?

Python, Pandas, Polars, NumPy, scikit-learn, Kafka, Spark, Trino, dbt, Apache Airflow, Prefect, MLflow, Kubernetes, Terraform, and GitHub Actions. Currently adopting AWS, Azure, and GCP.

What is Upstream Security working on?

ML-driven detection and anomaly detection for automotive cybersecurity and quality; GenAI-based cloud data management; ML model productization and lifecycle automation; and expanding the platform to new use cases like warranty and recall analysis.