A document protection gateway before AI

Give AI the document’s context. Not its owners’ data.

DATHR detects sensitive values, replaces them with identifiers that preserve meaning, then restores original values after your review and approval.

Hide the data→Use the document→Restore with approval
Before document sharingVisible human reviewNo silent restoration

The first release is in preparation for Windows and macOS

LiveMove the privacy lens over the document
DATHR
project-agreement.docx
Document preview4 sensitive values
Illustrative copy

Consulting Services Agreement

The first party Afaq CompanyPII agreed with consultant Sarah AhmedPII on the scope of work.

Contact: +966 50 000 0000PII. Deliverables are sent to the registered address.

4 values detected for review
The model sees the prepared copy onlyNo restoration without approval
PERSON001
Protected data
01Visible detectionSee what DATHR found
02Context preservedIdentifiers replace values
03Your decision firstRestore after approval
Discover the experience
PERSON_001

Context without identity

Stable identifiers preserve relationships inside the document while original values remain outside the AI-ready copy.

Human approval at the centre

Detected values and restored matches are designed to be reviewed—not silently accepted.

Built for real document work

One protection principle across different use cases

Prepare the useful content for AI while reducing unnecessary exposure of the values around it.

01

Legal documents

Analyse contracts and memoranda without including party identities in the prepared copy.

02

Research and reports

Reduce exposure of participant details before classification, summarisation, or drafting.

03

Enterprise workflows

Add review and protection to document processes according to organisational requirements.

Explore all use cases

PROTECTING DATA. ENABLING INTELLIGENCE.

See the value of the document.
Share less of its data.

Explore the productEnterprise conversation