Invygo operates a car subscription and flexible financing service across the Middle East and North Africa, with engineering and data teams actively building ML-driven pricing and churn prediction. The tech stack is heavily Java and Node.js on AWS with a modern ML layer (PyTorch, TensorFlow, scikit-learn, LightGBM), suggesting the company is layering predictive models into operations—a sign of moving beyond transactional subscription management into dynamic pricing and risk assessment. Hiring is spread across engineering, finance, sales, and data, with concurrent projects in automation, ETL scaling, and Saudi Arabia expansion.
Invygo is a car subscription and financing platform serving customers in the MENA region, primarily the UAE and Saudi Arabia. The company targets individuals seeking flexible alternatives to traditional car ownership or financing, removing friction from the mobility acquisition process. Operations span fleet acquisition, customer billing and receivables, and dynamic pricing optimization. The product is built on a Java/Node.js backend with React frontends, integrated with Checkout.com for payments and Xero for accounting, and is now scaling automation and ML-driven churn and pricing models to reduce operational friction.
Java, Node.js, React, MongoDB, TypeScript, Python on AWS. Data processing uses AWS Glue, Lambda, Redshift, and ML frameworks including PyTorch, TensorFlow, and scikit-learn. Payments via Checkout.com; accounting via Xero.
Dual headquarters in Dubai, UAE and Riyadh, Saudi Arabia. The company was founded in 2018 and employs 51–200 people.
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