Bitfount - Federated AI and Data Science

Bitfount is an enterprise-grade federated AI and data science platform that enables secure, privacy-preserving data collaboration across organizational and internal silos without moving or sharing raw data. Built for teams that need to analyze sensitive or regulated datasets behind firewalls, Bitfount brings models to the data, unlocking the full MLOps and analytics lifecycle - including federated inference, analytics, training, fine-tuning of foundation models and model/dataset evaluation - while maintaining data control and rigorous governance.

With Bitfount, organizations can connect disparate data sources - structured, unstructured, tabular, or imaging formats - and run complex AI or analytics tasks entirely on-premise or in cloud environments. The platform offers flexible deployment via a no-code desktop app, a Python SDK, or docker containers, letting data scientists and governance teams start collaborating securely in minutes without opening firewall ports or exposing sensitive information. Built-in privacy-enhancing technologies (PETs), zero-trust architecture, granular role-based access control, and end-to-end encryption ensure compliance with GDPR, HIPAA, ISO/IEC 27001, and other regulatory frameworks.

Bitfount empowers enterprise analytics, federated machine learning, cross-organization data projects, and secure AI model training, fine-tuning and inference. Analysts and data scientists can run federated jobs, evaluate models across distributed datasets, and share results - all while preserving data sovereignty and minimizing risk. This approach dramatically accelerates collaboration across teams, departments, or partners in industries such as healthcare, life sciences, finance, and research, where data privacy and security are paramount.