Zefir runs an AI transaction layer for residential real estate in France, with an agent orchestrating the full buy-sell journey across brokers, portals, buyers, and documents. The tech stack—Node.js, Next.js, React, Pinecone, Langchain, and RAG—reflects an AI-first architecture built on vector search and retrieval-augmented generation. Current hiring is sales-heavy (4 of 7 open roles), paired with active work on lead qualification and CRM optimization, indicating a phase of distribution build-out after the product core.
Zefir builds an AI transaction layer that automates home sales workflows for European real estate markets, starting in France. The platform deploys an AI agent to manage the entire purchase-and-sale cycle, coordinating local brokers, property portals, buyers, and document workflows. The company was founded in 2021 and operates from Paris with 51–200 employees. Work spans API development (Node.js, Nest.js, GraphQL), frontend engineering (React, Next.js), AI-driven features (Pinecone, Langchain, RAG), financial dashboards, and sales operations including lead qualification and CRM scaling.
Zefir uses Node.js, Nest.js, GraphQL, React, and Next.js for backend and frontend. For AI, Pinecone, Langchain, and RAG power retrieval-augmented generation features. Operational tools include BigQuery, HubSpot, Twilio, Customer.io, and WhatsApp.
Zefir is focused on AI-driven lead qualification, sales acquisition strategy, CRM optimization experiments, API development, frontend work, and financial dashboards and forecasting to improve conversion rates and reduce transaction time.
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