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

12.2× faster archival processing

Una helps archivists move collections from backlog to discovery dramatically faster—without AI-generated metadata or required digitization.

Processing benchmark

Process archival collections 12.2× faster per cubic foot.

Historiq Una processed archival records at 1 hour per cubic foot—12.2× faster than a cited 12.2-hour composite benchmark¹—without AI-generated metadata or required digitization.

12.2×
faster
92%
less time
11.2 hours saved per cubic foot processed.Without AI-generated metadata or required digitization

1 Composite benchmark derived from archival processing-rate guidance published by RIT Archives Processing Manual, MIT Distinctive Collections Processing Rates, and Yale Beinecke Manuscript Processing Manual.

Read the GFWC case study

Platform capabilities

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.

Institutional Flexibility

Configurable workflows for collections, teams, standards, and access policies.

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.

Archivist-centered approach

A familiar, supercharged approach to archival processing

Una is built around how archival work actually happens: varied collections, local standards, changing priorities, physical materials, digital materials, interns, specialists, and review. It helps teams process collections dramatically faster while preserving institutional judgment and flexibility.

Process dramatically faster

Capture arrangement, description, location, and review work as archivists move through the collection.

No AI-generated metadata required

Una supports faster processing without asking institutions to rely on machine-written description.

Realtime collaboration

Teams can work together across projects with shared records, review states, assignments, and traceable decisions.

Wide device support

Use Una on modern desktops, laptops, tablets, and phones, including workflows that support collections work in the stacks.

Modern and intuitive

Responsive interfaces make it easier for archivists, interns, and collaborators to contribute without fighting the tool.

Flexible by institution

No two collections or organizations are the same, so workflows can adapt to local standards, staffing, policies, and access needs.

AI that supports existing workflows

When useful, AI can assist specific tasks without becoming the center of the process. Institutions decide where it belongs.

Governance

Archivist control, review, and traceability

  • Granular role-based permissions for archivists, editors, curators, and administrators
  • Every draft, 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

Choice, data, and attribution

Institutional choice: Configure workflows around your collections, staffing, standards, and policies.
Attribution: Distinguish drafts, edits, approvals, and authoritative records.
Data handling: Be 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. Una helps archivists process collections faster without relying on AI-generated metadata. Any AI-supported workflow is optional, scoped to institutional needs, and governed by archivist review.

Do you use customer data to train AI models?

No. We never use customer data to train AI models.

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

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