Make your company AI-native in one click.
Duplicati turns backup archives into structured datasets your team can use to train models, replay strategies, and analyze years of internal research.
Choose your storage destination
Backups were built for disaster recovery.
For decades backups had a single purpose
restore systems after failure
satisfy compliance requirements
Meanwhile AI development happens somewhere else.
But the most valuable training data a company owns is its own history.
Institutional Memory
Duplicati turns your backup archives into AI-ready infrastructure.
Duplicati is designed for organizations with large proprietary datasets
This includes teams such as financial institutions, research organizations, and enterprises with long operational histories that want to train models on their own data. If this resonates with how your team thinks about data and AI, we would love to hear from you.
Frequently asked questions
Quick answers to common questions about privacy, setup, and more.
What types of data can Duplicati process?
Duplicati can work with most files stored in backup systems, including trading logs, research documents, model artifacts, and internal communication records.
Does this replace our backup system?
No. Duplicati works alongside your existing backup platform. It extracts and structures the data so it can be used for research and AI workflows.
Is the data secure?
Yes. Duplicati is designed for regulated environments. Access controls and permissions ensure that sensitive data remains protected.
Do we need to change our research infrastructure?
No. Duplicati integrates with common tools including Snowflake, MLflow, and S3-based storage systems.
How long does onboarding take?
Most teams can start exploring historical datasets within a few days after connecting their backup systems.
Contact us
Test the workflow. Define your storage strategy. Turn Workspace backup into a predictable service offering.
