Anonymiq. Strip PII before it ships.
A Dutch-first PII detection service for . Anonymiq (formerly OpenAnonymiser) reads any text or document, finds persons, addresses, IBANs, BSNs, and case numbers, then hands Filinq the spans to redact. Ships as a Nextcloud ExApp with a CPU-only build (Light) and a GPU build. Presidio under the hood, EUPL-1.2.
Nothing personal leaves without your knowledge.
Install the ExApp, point your Filinq and OpenRegister flows at it, and every document and record gets scanned for PII before it publishes, exports, or syncs out. The findings come back with explainable spans you can review or auto-redact.
Dutch-trained out of the box.
Two builds for two budgets.
Wired to Filinq and OpenRegister.
Explainable, auditable, EUPL-1.2.
Async by default.
Two minutes to install.
From any source to a clean publication.
Anonymiq sits as a sidecar to your existing Conduction flow. Filinq normalises the document, Anonymiq finds the PII, OpenRegister stores the redacted version, OpenCatalogi publishes.
- Word and PDF
- Form submissions
- OpenRegister records
- Email and chat
- Woo portal
- Residents
- Statistics and BI
Four apps, one configuration.
Anonymiq is one app in a chain. Every other part is an existing Conduction app you can install separately and use for other things.
Public bodies and SMBs testing the pipeline.
Anonymiq is in beta and a handful of organisations are running it in production today. Recall on Dutch PII is at parity with the upstream Presidio recognisers; the Conduction NER models lift recall on case numbers and licence plates that Presidio misses out of the box.
Partners delivering undefined
Implementation, hosting, and integration partners that deliver undefined to their customers. The apps and the data flow stay the same.
Light or GPU. Pick by document volume.
The Light build runs on CPU only and is the right pick when document volume is under ~500 pages per day. The GPU build adds a transformer pipeline that lifts recall on longer documents but needs a GPU on the host.