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Vortexa Tech Stack

Real-time global energy market intelligence and shipping data platform

Software Development London 51–200 employees Founded 2016 Privately Held
vortexa.com LinkedIn

Vortexa tracks waterborne energy trades in real-time using Python, Go, Kafka, and ML (PyTorch, XGBoost, SageMaker). The tech stack reveals a data-heavy company: Kafka Streams and Airflow orchestrate pipelines; Snowflake and OpenSearch power analytics; MLflow manages model lifecycle. Current hiring—tilted toward sales (2), data (1), engineering (1)—plus active projects around demand generation, sales process redesign, and forecasting frameworks suggest the company is scaling go-to-market infrastructure alongside product depth.

Tech Stack 26 technologies

Core StackPython Salesforce AWS Kubernetes Go Kafka Elasticsearch Apache Airflow Terraform Salesloft Gong Marketo ZoomInfo MLflow PyTorch Snowflake SageMaker AWS Lambda CloudFormation Apache Kafka HubSpot Jupyter Kafka Streams OpenSearch Athena XGBoost

What Vortexa Is Building

◆Challenges

  • Information gap in energy markets
  • Integration workflow standardization
  • Client onboarding challenges
  • Shifting from lead generation to demand generation
  • Reorienting measurement and activation
  • Modernizing marketing tech stack
  • Inconsistent pipeline
  • Unreliable forecasting
  • Weak process discipline
  • Scaling high-growth technology business

▲Active Projects

  • Energy and freight market intelligence solutions
  • Integration patterns repository
  • Api usage monitoring
  • Full-funnel demand generation strategy
  • Abm strategy across tier 1 and tier 2 accounts
  • Marketing technology stack assessment
  • Rebuilding sales operating system
  • Designing pipeline structure
  • Implementing forecasting framework
  • Data pipelines and ml models

Hiring Activity

Accelerating6 roles · 6 in 30d

Department

Sales
2
Data
1
Engineering
1
Executive
1
Marketing
1

Seniority

Lead
2
Mid
2
Manager
1
Senior
1
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About Vortexa

Vortexa provides energy and shipping companies with real-time visibility into global waterborne energy flows, tracking over $3 trillion in annual trades. The platform combines hard data, machine learning, and human expertise to deliver oil and gas product flows through both a web interface and programmatic APIs. Built for traders, analysts, and charterers who need high-confidence decision-making, the product spans market intelligence, risk assessment, and operational planning. The company operates from London with engineering and sales teams spanning the UK and US.

HeadquartersLondon
Company Size51–200 employees
Founded2016
Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What tech stack does Vortexa use?

Vortexa's stack includes Python, Go, Kafka, Kafka Streams, Apache Airflow, Snowflake, SageMaker, PyTorch, XGBoost, Kubernetes, AWS services (Lambda, Athena, CloudFormation), Elasticsearch, and MLflow for ML operations and model tracking.

What is Vortexa working on?

Active projects include energy and freight market intelligence solutions, API monitoring, full-funnel demand generation strategy, sales operating system redesign, forecasting frameworks, and ML pipelines—reflecting a focus on product depth and go-to-market scaling.

How this profile is built

Vortexa's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.