AI agents for insurance claims, compliance, and customer support
MarvelX builds AI agents for high-stakes workflows in insurance and financial services, with a stack spanning PyTorch, TensorFlow, OpenAI API, FastAPI, and Kubernetes. The company is in rapid hiring acceleration—8 roles posted in the last 30 days across a 11–50-person team—focused on scaling backend services, data infrastructure, and AI platform work. Pain points center on compliance/explainability in regulated workflows and the operational friction of scaling from startup to delivery org.
MarvelX develops AI agents designed to automate claims processing, compliance monitoring, and customer support for insurance and banking workflows. The platform is built on a modern stack: React/TypeScript frontend, Python/FastAPI backend with PyTorch and TensorFlow for model serving, and PostgreSQL + Elasticsearch for data access. The company is headquartered in Amsterdam and currently hiring across engineering, product, and operations to accelerate delivery and establish formal talent and sales processes.
MarvelX uses React, TypeScript, and Tailwind CSS on the frontend; Python, FastAPI, PyTorch, and TensorFlow on the backend; PostgreSQL and Elasticsearch for data; Docker, Kubernetes, and Terraform for infrastructure; and integrates OpenAI API for agent capabilities.
Active projects include backend services and APIs for their AI platform, high-performance search and data access layers, integration with customer systems, and internal tools for data-driven products. The company is also scaling hiring, sales processes, and delivery operations.
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