QuantumLoopAI builds EMMA, an AI receptionist deployed across NHS GP practices, designed to answer calls and triage patient inquiries. The tech stack—Azure, Node.js, React, GPT, LLaMA, and RAG—indicates a cloud-native application handling both voice and chat. Active projects center on chatbot and voice-agent development, LLM-based NHS data ingestion, and containerized microservices, suggesting the product is still hardening its core platform while ramping clinic deployments. Hiring velocity is accelerating with a 3:2 sales-to-engineering ratio, typical of early-stage healthcare software entering customer acquisition mode.
QuantumLoopAI operates an AI-powered receptionist system for UK primary care. The product integrates with NHS consultation tools and handles clinical and administrative call triage, routing patients to appropriate care pathways. The company is based in London and was founded in 2023. Current focus spans mobile development, system scaling via containerization, and expanding EMMA's deployment across GP surgeries and primary care networks. Pain points center on managing rapid growth, supporting international expansion, and maintaining performance under call volume at scale.
Azure, Node.js, React, Next.js, TypeScript, MySQL, Firebase, GPT, LLaMA, RAG, and Azure Cognitive Services. Docker handles containerization for microservices.
Core projects include EMMA chatbot and voice-agent development, LLM- and RAG-based NHS data ingestion systems, mobile development, containerization for scaling, and Azure microservices integration to support clinic rollouts.
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