Q
QuantumLoopAi Tech Stack
AI receptionist for NHS primary care, handling patient triage and scheduling
QuantumLoopAI operates EMMA, an AI receptionist built specifically for UK general practice. The tech stack—Azure cloud infrastructure, LLaMA/Mistral/GPT LLMs, voice integration, and RAG systems—reflects a company scaling a production telephony and triage system across hundreds of surgeries. Active hiring leans engineering-heavy (7 of 15 roles) with infrastructure and LLM pipeline work dominating projects, signaling focus on reliability and adoption velocity rather than feature breadth.
Tech Stack 39 technologies
Core StackAzure DevOps Jira HubSpot Adobe Creative Cloud Canva Google Analytics Azure Functions Docker MySQL NestJS Next.js React Python Zapier Kubernetes Trello Node.js TypeScript Firebase Redux Gherkin GPT LLaMA Mistral Azure App Service Azure Cognitive Services Azure Azure Monitor Application Insights Azure Cosmos DB+7 more
What QuantumLoopAi Is Building
◆Challenges
- Reducing phone queues
- Managing demand
- Ensuring patients get right care
- Implementing crm for scaling companies
- Cost governance
- Defining sales processes
- Performance optimisation
- Scaling fast-growing system
- Building ai-driven infrastructure
- Improving patient access
▲Active Projects
- Ci/cd pipeline automation
- Hubspot integration with internal tools
- Infrastructure setup and optimisation
- Llm and rag systems powering emma chatbot and voice agent
- Voice agent and telephony services integration
- Drive emma adoption across nhs gp surgeries
- Crm implementation for sales and customer operations
- Custom property and lifecycle management
- Optimise lead generation campaigns
- Monitoring and observability dashboards
Hiring Activity
15 roles · 15 in 30d
Department
Seniority
Company intelligence
