Data integration and analytics platform with AI-powered workflow automation
Fabrion is a stealth-stage data company built on a modern analytics stack—React, Next.js, PostgreSQL, DuckDB, Kafka—with early-stage adoption of Langchain and heavy reliance on LLM inference (OpenAI, Anthropic, LLaMA). The project list and pain-point pattern suggest focus on unstructured data consolidation, schema management, and multi-source joins, paired with AI-driven agent and workflow interfaces. The company is hiring across data and engineering at mid-to-senior levels, indicating active product definition phase rather than launch-and-scale.
Fabrion operates in the data integration and analytics space, targeting enterprises with fragmented data sources and complex operational workflows. The core product appears to combine a data fabric layer with multi-tenant analytics visualizations and agent-based interfaces, leveraging large language models for analysis and workflow automation. Early projects include knowledge graph integration, ROI modeling for pilot validation, and connector frameworks to normalize messy, unstructured data. The company is currently in stealth mode with a small, specialized team in San Francisco.
Frontend: React, Next.js, TypeScript, Tailwind CSS, visualization libraries (Vega, D3.js, Recharts). Backend: Node.js, Python, PostgreSQL, DuckDB, Kafka, Hasura. Infrastructure: AWS, Docker, Kubernetes, GitHub Actions, ArgoCD. AI: OpenAI, Anthropic, LLaMA, Pinecone, Qdrant. Auth and observability: Keycloak, OpenTelemetry.
Yes. Active roles span data (2), engineering (2), product (1), and sales (1), with seniority mix of mid and senior levels. Hiring is currently limited to the United States and has minimal posting velocity.
Projects include data fabric layers, multi-tenant analytics visualizations, agent interfaces for workflows, knowledge graph integration for dataset evaluation, connector frameworks, ROI modeling for pilots, and data partnership pipelines.
Other companies in the same industry, closest in size