Secure confidential data for AI innovation
AI innovation
Safeguard your sensitive training data
Unlock the full potential of your AI teams and model generation with powerful data management built for sensitive, high-stakes environments.
In industries like financial services, healthcare, and insurance, AI teams work with some of the world’s most sensitive datasets. From confidential transactions and claims data to medical records and securities settlements, securing these assets while maintaining compliance and auditability is a monumental challenge.
Confidios' Self-Sovereign Data Vaults (SSDVs) offer AI innovation teams a game-changing solution: an immutable, permissioned blockchain environment purpose-built to safeguard sensitive training data while enabling secure, collaborative, and scalable AI model development.
Financial Services
Train anti-money laundering (AML) and fraud detection models on sensitive, proprietary transaction data with complete security and auditability.
Healthcare and life sciences
Develop diagnostic AI and predictive healthcare models using patient records while maintaining strict privacy compliance.
Research and academia
Safely collaborate on AI projects using proprietary datasets, ensuring ethical use of sensitive data and enabling auditable and easily verifiable research outcomes.​
Insurance
Improve claim processing automation by training AI on sensitive claims history datasets anonymised, verified, and securely managed.​
LLM source-data management
Integrate our SSDVs into Large Language Model (LLM) pipelines to manage, track, and control the provenance of training datasets, ensuring the validity, security, and ownership of your source data.
