AI-powered data platform for family office investment and accounting workflows
Cornspring is a 2-year-old London-based startup building generative AI tools for family offices, with a tech stack centered on Python, FastAPI, and LLMs (Hugging Face, vLLM) deployed on AWS and Azure. The product roadmap reveals a RAG-first architecture—retrieval-augmented generation pipelines and LLM-powered financial data features—paired with Microsoft Office integration (Office.js add-ins), suggesting a strategy to embed intelligence directly into existing family office workflows rather than replace them. Early hiring velocity is accelerating across engineering and data roles, a pattern consistent with a pre-product-market-fit startup scaling technical depth before sales.
Cornspring develops AI-driven data management and analytics solutions for family offices and ultra-high-net-worth investors. The platform combines large language models with retrieval systems to automate investment accounting, portfolio reporting, and data processing workflows that family offices currently handle via fragmented legacy tools. The team operates from London with active hiring in the United States, United Kingdom, and Singapore. The technical foundation spans AWS/Azure cloud infrastructure, Python for backend logic, React for frontend, and PostgreSQL for structured data—all oriented toward solving pain points in legacy system fragmentation and manual data workflows.
Python, FastAPI, PostgreSQL, React, TypeScript, AWS, Azure, Hugging Face, and vLLM. The company also builds Microsoft Office add-ins using Office.js and Microsoft 365 APIs for embedded financial workflows.
RAG pipelines for financial data, LLM-powered features using both SaaS and local models, Microsoft Office add-in development, automated data processing workflows, and validation mechanisms—all oriented toward family office investment accounting and portfolio reporting.
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