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.

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Read the vision

Choose your storage destination

Backups were built for disaster recovery….

For decades backups had a single purpose. Meanwhile AI development happens somewhere else.

protect data

restore systems after failure

satisfy compliance requirements

Keep specific amount of backups

Backup training data

But the most valuable training data a company owns is its own history

Decision Data

Historical records show how decisions were made, what information was used, and how outcomes evolved.

Create backup policies once and push them to multiple clients. Manage schedules, retention, and destinations from a single console.

Operational Data

Emails, logs, documents, and transactions reveal how a company actually operates. These patterns can power internal copilots and workflow automation.

Create backup policies once and push them to multiple clients. Manage schedules, retention, and destinations from a single console.

Experimental Data

Years of experiments, research artifacts, and model outputs capture what strategies worked, failed, or changed.

Create backup policies once and push them to multiple clients. Manage schedules, retention, and destinations from a single console.

Institutional Memory

Backups contain the long-term memory of an organization. Training models on this history enables AI systems that reflect the company’s unique knowledge and expertise.

Create backup policies once and push them to multiple clients. Manage schedules, retention, and destinations from a single console.

Valuable backup data

But the most valuable training data a company owns is its own history

Decision Data

Historical records show how decisions were made, what information was used, and how outcomes evolved.

Operational Data

Emails, logs, documents, and transactions reveal how a company actually operates. These patterns can power internal copilots and workflow automation.

Experimental Data

Years of experiments, research artifacts, and model outputs capture what strategies worked, failed, or changed.

Institutional Memory

Backups contain the long-term memory of an organization. Training models on this history enables AI systems that reflect the company’s unique knowledge and expertise.

AI workflow benefits

Duplicati turns your backup archives into AI-ready infrastructure

Structure historical data for AI

Duplicati indexes, versions, and organizes backup data so it can be used as training datasets for internal AI models.

Build internal AI workflows

Teams can create internal copilots, search systems, and model pipelines directly from their company’s historical data.

Turn backups into living data

Instead of cold archives, backups become continuously usable infrastructure for experimentation, analysis, and model development.

For teams & organizations

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.

Your backup turned into the best AI workflow model

FAQ

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 used by quant teams, 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.