Open Source in Finance Forum London 2026

Building trustworthy, efficient, and specialized, sovereign AI systems is vital in finance, where transparency and accountability are essential. This session presents an open framework for developing agentic AI built entirely on open models, datasets, and modular microservices. It shows how open ecosystems can drive innovation while staying compliant, auditable, and cost‑efficient. Participants will explore a unified, community‑driven AI platform integrating training, deployment, and orchestration tools. Real‑world cases highlight how composable components enable collaboration and reproducibility, empowering institutions to tailor AI to regulatory needs. The talk introduces open models and curated datasets that form a transparent foundation for next‑generation financial intelligence, enabling efficient, accurate, and auditable agents. Topics include an open, modular agentic architecture deployable on any AI factory, showing several examples like fraud detection, conversational AI, and financial deep research.