Explore Trusted AI

What could a Trusted AI Digital Repository look like for your institution?

Every institution starts somewhere different. Tell us about your collections, systems, institutional knowledge, and AI priorities, and let's explore what a governed AI foundation could look like in your environment.

Explore what trusted AI could look like in your environment.

Your knowledge

Collections, digital assets, metadata, records, and institutional knowledge.

Your systems

DAMS, collections systems, archives, databases, repositories, and APIs.

Your governance

Rights, permissions, policies, restrictions, and human review.

Your opportunities

Research, discovery, workflows, education, public access, and visitor experiences.

Resources

Continue exploring trusted AI

Trusted by
the GLAMP sector

Trusted by
the GLAMP sector

Trusted by
the GLAMP sector

FAQs

FAQs

No. Institutions come to us at different stages, from early exploration and policy development to active pilots and production projects. We can start with the challenge you’re trying to solve and identify what trusted knowledge, governance, and infrastructure would be needed to support it.

No. A Trusted AI Digital Repository can work with existing collections systems, DAMS, archives, research databases, shared repositories, and other institutional sources through APIs and integrations.

Yes. Institutions can determine which collections, records, assets, metadata, and knowledge sources are available to specific AI applications and which remain restricted.

Rights, permissions, restrictions, and access rules can remain part of the governed knowledge environment so they can help determine what AI can access, use, or surface.

Terentia does not use client data to train public foundation models. Your institution remains in control of how its data is used, subject to your configuration and permissions.

Yes. Human review can be built into workflows where your institution requires it, including validation, approval, correction, or escalation of AI-assisted outputs.

Yes. AI experiences can be designed to provide citations or links back to the underlying collection records and source materials so users can verify what they are seeing.

We welcome people working across collections, archives, digital asset management, IT, digital strategy, research, education, public engagement, AI governance, and organizational leadership.

YOUR DATA. YOUR ENVIRONMENT. YOUR RULES. YOUR AI.

You don’t have to start with a blank slate. Start with the collections, systems, policies, and institutional knowledge you already have—and explore how they could become the trusted foundation for what comes next.

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