Real-time energy and shipping flow analytics via web app and API
Vortexa tracks waterborne oil, gas and LNG flows for traders, analysts and charterers, combining ML models with in-house market expertise. Its stack pairs streaming infrastructure (Kafka, Kafka Streams, OpenSearch) with an ML toolchain (PyTorch, XGBoost, MLflow, SageMaker), while accelerating hiring splits evenly between data and sales, with LNG go-to-market work signaling a commercial push beyond oil.
Notable leadership hires: Sales Director
Vortexa is a London-headquartered, privately held company founded in 2016 with 51–200 employees. It provides energy and shipping companies with real-time visibility into seaborne energy trade flows. Customers access the data through a web application and programmatic API and SDK interfaces. The data is produced by machine learning models refined with input from in-house industry specialists. Hiring currently spans the United Kingdom, United States, Singapore and Switzerland.
Vortexa runs on AWS with Kubernetes, Terraform and Lambda, uses Python and Go, streams data with Kafka, and builds ML models with PyTorch, XGBoost, MLflow and SageMaker. Snowflake, Airflow and OpenSearch support its data layer.
Yes, hiring is accelerating, concentrated in data and sales with additional engineering, marketing and product roles, including a Sales Director position, across the UK, US, Singapore and Switzerland.
Vortexa is headquartered in London, United Kingdom. It was founded in 2016 and has 51–200 employees.
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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.