Heritage Funding
Archivers.ai is designed to support NLHF-style digitisation workflows and similar grant programmes — helping teams produce standards-aligned outputs for funded digitisation projects, with scoping, mapping, processing, and public access all in one conversation. Formal acceptance by any specific programme still depends on the programme’s own requirements.
Funding hub
From bid scoping through delivery to post-project access. This is the shape of the work we do with funded digitisation projects.
Realistic collection sizing, effort modelling, and cost breakdowns for bid budgets. Technical sections you can drop into an NLHF or research grant application.
ISAD(G), EAD3, SPECTRUM, Dublin Core, PREMIS, BagIt. Map your source schemas to the formats funders and downstream systems expect.
AI-assisted draft metadata with archivist review at every step. Review policies agreed in advance, prepaid processing credits, progress dashboard for project sponsors.
Staff Explore, public discovery portal, and the evidence of public engagement funders ask for when they look at post-project value.
Final exports in EAD3, BagIt with PREMIS, Dublin Core, or CSV profiles, ready for deposit into your repository, CMS, or a partner preservation service.
Counts, timelines, engagement evidence, and standards compliance documentation that fits the shape of funder end-of-grant reports.
The Challenge
ISAD(G), EAD3, and Dublin Core are difficult to implement manually — especially for under-resourced organisations without dedicated archival expertise. Getting them wrong weakens your bid.
Budgets often miss metadata enrichment, accessibility checking, long-term hosting, and preservation packaging. Reviewers notice these gaps — and they raise questions about deliverability.
CC-BY 4.0, CC0 for metadata, WCAG accessibility, and 5–20 year availability commitments are hard to guarantee without the right tools and export formats in place from the start.
How Archivers.ai Helps
NLHF Compliance
| NLHF Requirement | What's Required | How Archivers.ai Delivers |
|---|---|---|
| Availability | 5–20 years unfettered public access | BagIt + PREMIS export for repository deposit; EAD3 for aggregate portals |
| Accessibility | W3C Single A / Double A | OCR, HTR, and transcription make content machine-readable and screen-reader compatible |
| Openness | CC-BY 4.0 for content, CC0 for metadata | Open-format exports; sensitivity flagging for exceptions; rights fields in every record |
| Metadata Standards | ISAD(G), EAD3, Dublin Core | Native ISAD(G) hierarchy; one-click EAD3 XML; Dublin Core export |
| Human Oversight | AI accuracy verification required | Per-field confidence scores, AI reasoning, mandatory review stage |
| GDPR Compliance | Personal data protection | PII detection, sensitivity levels (public/restricted/closed) |
Standards-Ready Export
Export your catalogued collection to EAD3 XML, AtoM CSV, ArchivesSpace CSV, Archivematica CSV, BagIt with PREMIS, and Dublin Core — all from a single workflow. No manual format conversion, no data re-entry, no XML coding.
NLHF Investment Principles
AI cataloguing reduces backlog, making hidden collections discoverable. Items that would take years to describe manually can be catalogued in weeks.
Digital access reduces physical handling of fragile originals. Batch processing mode minimises energy consumption for large-scale cataloguing projects.
Research & Explore AI chat lets diverse audiences query collections in natural language. OCR and transcription make content accessible to screen readers.
Builds digital skills within your team. Reduces consultancy dependency with intuitive, self-service tools that staff and volunteers can learn quickly.
NLHF Guides
Get In Touch
Tell us about your collection and your funding plans. We'll help you understand how Archivers.ai fits into your NLHF bid — and what to include in your budget.