Historiq

Platform

Una: A familiar, supercharged approach to archival processing & digitization

Archivists are critical to enabling meaningful access to historical collections. Our mission is to amplify the impact of archivists with innovation and modern tools.

More Description, Faster

Archival standards meet new technology

Archival standards meet new technology for arrangement, description, finding aids, and metadata alignment while preserving archival rigor.

Meeting the needs of your archive

Archival Processing

Physical and intellectual control grounded in archival standards.

Digitization

Optional reference-ready and high-resolution capture integrations.

AI, Centered Around Institutional Choice

Novel technology, always optional, and much more than metadata generation.

Collections Management

A new way to manage collections from accession through search.

Search and Discovery

Intuitive, modern, flexible discovery across all collections.

Governance and Review

Archivist-led approvals, role-based access, and traceable workflows.

AI metadata drafting

AI that follows institutional choice

AI can be enabled, scoped to specific tasks, or disabled entirely. Outputs remain drafts until archivist review and approval.

Handwritten and printed text transcription

Transcribe handwritten and typed materials for review and correction.

Analyze and describe digital materials

Deep analysis of photographs and other digital materials to generate initial description text that archivists refine and approve.

Draft entities, subjects, and dates

AI suggests people, places, organizations, subjects, and dates from context.

Governance

Archivist control, review, and traceability

  • Granular role-based permissions for archivists, editors, curators, and administrators
  • Every AI suggestion and human edit goes through explicit review actions before becoming authoritative
  • Publishing workflow ensures nothing becomes authoritative without explicit approval
  • Complete audit trail with timestamp, user, and action type for every change and approval

Transparency

Models, data, and attribution

Model clarity: We are clear about what model or models are used and where they run. Model information is available in the platform interface.
Attribution: We distinguish model-drafted text and fields from human-authored and approved records.
Data handling: We are explicit about what data is processed, what leaves the environment, if anything, and retention policies. Institutions control their data.

FAQ

Frequently asked questions

Is AI required in Una?

No. Using AI for metadata drafting is an institutional choice. It can be enabled, scoped to specific tasks, or disabled entirely.

Can the platform run offline?

Yes. The platform can be deployed completely offline, even when using AI technologies. On-premises deployments keep all data and processing within your environment.

Built for archival practice

Historiq helps archives, libraries, museums, and mission-driven organizations transform historical materials into organized, discoverable physical and digital collections.

Talk to an archivist about how the platform can improve discovery and description

ElevenLabs Startup Grants