Quadrivia AI Tech Stack

Clinical AI assistant platform designed by and for healthcare professionals

Health and Human Services London 11–50 employees Privately Held

Quadrivia builds Qu, a multi-modal clinical assistant with capabilities spanning diagnosis support, patient interactions, administrative tasks, and chronic care monitoring. The tech stack reflects a real-time-first architecture: Python + FastAPI + WebRTC + LiveKit for synchronous voice and chat, DSPy + RAG for reasoning, and event-driven data pipelines (Pub/Sub, Kubernetes) for agent orchestration at scale. The team is senior-heavy (8 of 9 known hires) and engineering-focused (7 roles), suggesting deep domain complexity in clinical AI safety and multi-agent coordination rather than a product-market-fit phase push.

Tech Stack 29 technologies

Core StackPython FastAPI RAG OpenTelemetry Kubernetes Vertex AI React TypeScript Docker Terraform Figma Canva asyncio Pydantic LiveKit WebRTC SIP DSPy Cloud Run Pub/Sub GCS AWS Secrets Manager Pipecat WebSockets OAuth 2.0 GCP TikTok YouTube LinkedIn

What Quadrivia AI Is Building

◆Challenges

Building brand foundation

▲Active Projects

Backend systems for clinical ai platform
Real-time chat and voice interfaces
Event-driven data pipelines for clinical ai agents
Agent-based clinical ai interface
Core brain service
Multi-agent llm system
Rag engineering
Event-driven architecture for clinical ai agents
High-throughput data pipelines
Orchestration layers for ai agents

Hiring Activity

Minimal10 roles · 1 in 30d

Department

Engineering

Finance

Marketing

Seniority

Senior

Mid

Company intelligence

Find more companies like Quadrivia AI by tech stack, pain points and active projects

Get started free

About Quadrivia AI

Quadrivia develops Qu, a clinical decision-support and administrative assistant designed in collaboration with healthcare professionals. The platform spans patient-facing interactions (real-time chat and voice via WebRTC and SIP) and back-office clinical workflows (documentation, monitoring, care coordination). Core to the product is a multi-agent LLM architecture with RAG components for evidence-based reasoning and event-driven pipelines for throughput and reliability. The company operates from London with a small, senior-dominated engineering team and limited hiring velocity, indicating a focus on building foundational technology rather than rapid customer acquisition.

HeadquartersLondon

Company Size11–50 employees

Hiring MarketsBulgaria, United Kingdom, Spain

Frequently Asked Questions

What tech stack does Quadrivia AI use?

Python, FastAPI, Vertex AI, GCP services (Cloud Run, Pub/Sub, GCS), Kubernetes, Docker, LiveKit, WebRTC for real-time communication, DSPy and RAG for LLM reasoning, and React/TypeScript for frontend.

Where is Quadrivia AI headquartered?

London, United Kingdom. The company also hires in Bulgaria and Spain.