Life insurance underwriting and protection technology with an AI push
UnderwriteMe sells underwriting and protection software to life insurers and intermediaries, and its stack shows a serious generative-AI build: vLLM, LiteLLM, Langfuse, LangChain, LlamaIndex and DeepSpeed alongside OpenAI and Anthropic. Job posts point to LLM extraction of medical records, agentic underwriting workflows and an LLM evaluation harness, while senior-heavy, accelerating hiring targets delivery predictability and go-to-market.
UnderwriteMe is a London-headquartered insurtech company with 51–200 employees, founded in 2012. It provides an underwriting engine and protection platform that streamline life insurance applications for insurers, intermediaries and end customers. The business started in the UK and now operates across Europe, Asia, Australia, the United States and Canada. Its engineering runs on Python, Java, Spring, React, FastAPI and PostgreSQL, deployed on AWS with Docker, Kubernetes and Helm. Current hiring is centered in the United Kingdom and Singapore.
UnderwriteMe uses Python, Java, Spring, React, FastAPI and PostgreSQL on AWS with Docker, Kubernetes and Helm, plus AI tooling such as PyTorch, vLLM, LangChain, LlamaIndex, Langfuse, OpenAI and Anthropic.
Yes. Job posts describe an LLM-based system for extracting medical records, agentic underwriting workflows, an LLM output evaluation harness and an AI engine capability on its decision platform.
UnderwriteMe is hiring in the United Kingdom and Singapore, mostly senior roles across engineering, marketing, product and operations, with hiring velocity accelerating.
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UnderwriteMe'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.