AI voice receptionist handling patient calls for NHS GP practices
QuantumLoopAi builds EMMA, an AI receptionist that answers and triages GP surgery phone calls, running on an Azure-centric stack with GPT, Llama, Mistral and RAG behind its chatbot and voice agent. Adoption of Terraform and Bicep alongside Kubernetes and Azure DevOps points to infrastructure-as-code maturation, while an even split of engineering and sales hiring plus HubSpot CRM work signals a push to formalise go-to-market as the product scales.
QuantumLoopAi is a London-based, privately held company founded in 2023 with 51–200 employees. Its product, EMMA, is an AI receptionist built for general practice that handles clinical and administrative patient calls during surgery hours and routes patients to the appropriate outcome. It integrates with NHS tools including Accurx and is DTAC certified. Customers include GP surgeries, primary care networks and integrated care boards across the UK, where the company also concentrates its hiring.
QuantumLoopAi runs on Azure (App Service, Functions, DevOps, Monitor) with Node.js, NestJS, TypeScript, React, Next.js, Python, MySQL, Docker and Kubernetes, plus GPT, Llama, Mistral and RAG for its AI agent.
Current work includes driving EMMA adoption across NHS GP surgeries, LLM and RAG systems for its chatbot and voice agent, telephony integration, HubSpot CRM rollout and CI/CD and observability improvements.
Yes. Hiring is steady and UK-based, with engineering and sales as the leading functions, alongside finance, marketing, operations and support roles across junior to senior levels.
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QuantumLoopAi'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 →
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