The AI-native archive platform

From box to
public catalogue
in days,
not decades.

AI-assisted cataloguing, review-gated and standards-compliant, now in early access. Built for UK archives, museums and community collections.

Running an institutional backlog? Book a Backlog Sprint → — a fixed-scope, 30-day pilot on your own collection.

EU-resident AI · ISAD(G) & Spectrum exports · Human-review gate · Early access — limited places

Archivers.ai Explore — asking a research question answered only from your own collections, with suggested starting points
Fig. 01 Explore — ask a question and get an answer drawn only from your own collections, never the open internet.
Works with the systems you already run
01 — The integration layer

The layer between
digitisation and discovery.

Digitisation creates files. Repositories store records. Archivers.ai is the layer in between — the place where files become reviewable, standards-aligned, and ready to leave the platform on the archivist’s sign-off.

01

Digitisation

In-house capture, partner-led scanning, or existing digitised backlogs.

Fed by Capture rigs · Scanning vendors · Backlog drives

02

Archivers.ai

AI-assisted draft metadata, archivist review at every step, standards-compliant export profiles, staff Explore, and a public access portal.

You get ISAD(G) · EAD3 · BagIt · PREMIS · Spectrum · Dublin Core

03

System of record

Your repository, CMS, or preservation system. Authoritative. Unchanged.

Works with AtoM · ArchivesSpace · Axiell · Modes · Adlib · Mimsy · Preservica · Archivematica

04

Discovery

Staff research and public-facing access — the retention layer after the backlog is processed.

For Archivists · Curators · Researchers · The public

We are not a system of record. We are not a replacement. We are the layer of work that has to happen before files become records, and the layer of access that keeps them visible after the project closes.

02 — How it works

Capture. AI describes.
You review. Publish.

Four steps, with the archivist in control at the one that matters. The same path whether it’s a single accession or a backlog of thousands.

i

Capture

Photograph items with a phone, drag in scans, or bulk-upload a digitised backlog — documents, photographs, objects, audio, video.

ii

AI describes

AI drafts ISAD(G)- or Spectrum-aligned catalogue records, with OCR and transcription, and a confidence score on every field.

iii

You review

Nothing lands in the catalogue without a human accept. Low-confidence fields and sensitivity flags are surfaced first.

iv

Publish & export

Publish to your public access portal, or export as EAD3, BagIt+PREMIS, Dublin Core, Spectrum CSV or AtoM/ArchivesSpace CSV.

From a box of uncatalogued material to a published, standards-compliant record — in days, not decades.

Join the waitlist or See the full workflow
03 — Inside a record

Draft metadata, with the
archivist still in charge.

Every AI-assisted field carries a confidence flag and the rationale that produced it. Archivists review, override, and sign off — nothing leaves the platform unreviewed.

Archivers.ai metadata detail panel showing structured fields, AI rationale, confidence flags, and PII detection for a single archival item
a.

Structured fields. ISAD(G)- and Spectrum-aligned, ready for export into your repository or CMS.

b.

AI rationale. The reasoning behind each suggestion, alongside the suggestion itself.

c.

Confidence & PII flags. Per-field signals so reviewers prioritise their attention where it matters.

d.

Provenance. Model family, timestamp, and review state recorded in PREMIS — carried through on export.

04 — A working platform

A working platform
built for the profession.

Screens straight from the app — the same system used to process and explore working collections every day.

Archivers.ai Explore — asking a research question answered only from your own collections, with suggested starting points
i.Explore. Ask questions answered only from your own catalogue — gaps and silences, provenance, narrative arc — never the open internet.
Archivers.ai catalogue export menu — EAD3 XML, AtoM CSV, ArchivesSpace CSV and Archivematica CSV
ii.Standards-based exports. One reviewed record out to EAD3, BagIt/PREMIS, AtoM, ArchivesSpace, Archivematica and Dublin Core — into the systems you already run.
Archivers.ai authority linking — reconciling an organisation against VIAF, FAST and Wikidata authority records
iii.Authority control. Reconcile people, organisations and places against VIAF, FAST and Wikidata — one person, one authority, across every collection.
Archivers.ai audio item — waveform player with a speaker-diarised, timestamped transcript
iv.Audio & oral histories. Speaker-diarised, timestamped transcripts turn decades of cassettes into a navigable, quotable resource.
05 — Trust & the record

Defensible by design —
and European by default.

Archives run on trust. We hold to the four principles the sector expects of AI: the human stays in charge, the work is transparent, preservation comes first, and sensitivity is flagged — built for the questions FOI officers, donors, funders, and procurement teams actually ask.

Human-in-the-loop

AI drafts. The
archivist decides.

Every item needs a human accept, and nothing exports until it has been reviewed. The AI proposes; the archivist disposes.

Full transparency

AI Evidence on
every field.

The rationale, the confidence score, and a per-field edit history — model, reviewer and timestamp travel with each value and carry through on export.

Preservation-first

Your originals are
never touched.

BagIt packaging with SHA-256 fixity and PREMIS XML. We sit in front of your repository — the source files are left exactly as they were.

Sensitivity detection

PII and content,
flagged early.

Automatic flagging of personal data and material that may need a content warning or a closure period — surfaced to the reviewer, never silently buried.

EU-resident AI

All AI processing runs in EU data centres. A real procurement answer for public-sector buyers — with a data-processing agreement available for GDPR-sensitive collections, and your data never used to train AI models without your explicit opt-in.

Trust & procurement or How we use AI
06 — What it costs

Manual cataloguing costs
£3–£5 an item.

With Archivers, AI-assisted cataloguing brings that down to pennies per item — an order of magnitude cheaper. And when we launch, every price will be published, from the free Community plan to the Institution tier. No “contact us to find out”.

Manual cataloguing

£3–£5

per item

The typical cost of cataloguing time in grant-funded projects. At that rate most backlogs stay backlogs — over 20% of museum collections and around 13% of local-authority collections remain uncatalogued.

With Archivers.ai

Pennies

per catalogued item or page

AI-assisted description with the archivist still in charge — an order of magnitude cheaper than the manual equivalent, with every AI suggestion reviewed and accepted by a human before it enters the catalogue.

Our pricing promise

When we launch, every price will be published — plans, credit packs and pilots, mirrored exactly in the app. No hidden quotes, ever. Waitlist members see pricing first.

One credit catalogues one photograph or object, one document page, one minute of video, or five minutes of audio — and the app shows you the credit cost before you commit.

Join the waitlist or See plans & credits
Catalogue everything.
Pay pennies.
07 — Audiences

Who it’s for.

Four audiences, four routes through the same platform. Pick yours — each opens onto a deeper page written for that reader.

i.

For archivists.

The AI does the first draft; you stay the archivist. ISAD(G)-aligned draft records with per-field confidence scores, a review gate on every suggestion, and EAD3 and BagIt+PREMIS export into AtoM, ArchivesSpace or Archivematica. Fonds, accession, item: the structure you already work in — and capacity to catalogue what would never otherwise be done.

Read more →
08 — For archive services & institutions

Built for procurement,
not around it.

The Institution plan brings onboarding, named support, archivist seats for the whole service, and free volunteer and reviewer seats — with pricing designed to go straight into a committee paper or a grant budget, published when we launch.

i.

Onboarding & named support

Workspace setup, user roles, onboarding for your team, and a named contact — included on the Institution plan.

ii.

Standards mapping

Map your existing fonds, accession, or object schemas to ISAD(G), EAD3, Spectrum, or Dublin Core export profiles.

iii.

Export profile configuration

Tuned export targets for AtoM, ArchivesSpace, Axiell, Modes, Adlib, Preservica, or Archivematica — into the systems you already run.

iv.

Credit packs for funded projects

Top-up credit packs sized for cataloguing grants and funded projects — valid 12 months, payable by invoice or purchase order for institutions.

v.

Public access & Explore

A public discovery portal and the staff Explore research workspace — ongoing public value and engagement evidence after the backlog is done.

vi.

Procurement answers

EU-resident AI processing, a data-processing agreement, per-field provenance and audit trail, and free volunteer seats. SSO and API access are rolling out on the Institution plan.

Want to prove it before committing? The Backlog Sprint is a fixed-scope, 30-day pilot on your own collection, with an onboarding call included — we’ll scope it together on a call.

Book a Backlog Sprint or Join the waitlist

Latest thinking.

Browse the journal →

4 June 2026

Defensible AI in the Archive: Confidence Flags, the Review Gate, and Provenance That Holds Up

AI-assisted description is only safe in an archive if it is defensible. Here is how confidence flags, a human review gate, and per-field provenance stand up under FOI, donor scrutiny, and funder reporting.

Read →

2 June 2026

Authority Control at Scale: One Person, One Authority, Across Every Collection

Cross-collection discovery only works when the same person is the same authority everywhere. Here is how reconciling names against VIAF, FAST, and Wikidata makes your catalogue genuinely searchable.

Read →

29 May 2026

European AI and GDPR: What Public-Sector Archives Should Ask Before They Process

When you run archival material through AI, where that processing happens is not a technicality — it is a data protection decision. Here is what procurement and information governance teams should ask.

Read →
Take the next step

Catalogue the
backlog. Publish
the collection.

Archivers.ai is in early access. Places are limited and every account is personally approved and onboarded — join the waitlist and we’ll be in touch. Every AI suggestion still waits for a human before it enters your catalogue.