Data Hydration Factory

Turning dormant data into trusted knowledge.

The industrial pipeline for transforming legacy information into canonical knowledge, identified lineage, and trusted FPA molecules — at enterprise scale.

The Problem

Your organisation has 30 years of data.

10M+

Files in legacy systems

4M

Duplicates — undetected

∞

Versions of the same document

?

Unknown ownership

None

Verified provenance

0%

Usable by AI systems

A data lake is a reservoir of raw, unmanaged information. Hydration brings dormant information back into a usable state. The factory implies repeatable industrial processing at enterprise scale.

Two Entry Paths

Individual or enterprise.

AuthOrigin supports two complementary ways to create trusted knowledge.

Express Molecule Studio

Single document → trusted molecule

A user uploads one document. The system canonicalises the content, creates a Knowledge Core, and secures it inside an FPA Molecule. Instant.

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Knowledge Transformation Studio

Many documents → trusted knowledge infrastructure

Enterprise users with decades of unmanaged information across file systems, data lakes, SharePoint, ECM platforms, databases, and email archives.

Explore

The Factory Pipeline

Seven-stage hydration process.

01

INGEST

02

HYDRATE

03

REFINE

04

CANONICALISE

05

IDENTIFY

06

MOLECULISE

07

REGISTER

Core Engines

Three engines. One pipeline.

MetaDerma Discovery Layer

Machine-readable discovery. Not trust claims.

MetaDerma provides references and discovery — it allows humans and machines to instantly locate and understand a molecule. It must not contain trust claims. Trust is the domain of the FPA trust layers and kti.flow infrastructure.

MetaDerma Identity Fields

discovery only · no trust claims

"preferred_display_name"Quarterly Office Market Report 2026
"original_filename"QuickCREEM-Report-UK-Office-2026.pdf
"original_extension".pdf
"original_mime_type"application/pdf
"original_system"SharePoint
"original_document_id"SharePoint-228993
"original_uri"https://sharepoint.corp/docs/228993
"legacy_references"["SP-228993", "ECM-9921", "Archive-Q3-2026"]
"aliases"["Report_Q3_2026.pdf", "CBRE-Office-Report.pdf"]
"knowledge_lineage_id"KL-2026-00382
"molecule_id"AO-FPA-507772
"vsid"VSID-A3F9C2D1

Alias Resolution

Many filenames. One Knowledge Lineage.

Multiple historic filenames — across versions, signings, and renames — resolve to a single canonical Knowledge Lineage. Duplication is eliminated at the identity level.

Proposal_v7.docx
Proposal_Final.docx
Proposal_SIGNED.pdf
Final_Proposal_2026.pdf
Document_342_final_FINAL_v7.pdf

resolves to

Knowledge Lineage

KL-2026-00382

One canonical object. Verified identity. kti.flow registered.

FPA Filename Convention

Human names for usability. Cryptographic IDs for identity.

Preferred

Quarterly-Office-Market-Report-2026.fpa

Human-friendly. Findable. Meaningful.

Not preferred

AO-FPA-507772.fpa

Molecule ID belongs inside the package, not the filename.

Transformation

What goes in. What comes out.

Factory Input

Duplicated documents
Forgotten archives
Legacy repositories
Unstructured files
Disconnected databases
Historical records
Scanned documents
Email exports

Factory Output

Canonical Knowledge Cores
Identified Knowledge Lineages
Trusted FPA Molecules
kti.flow registrations

Enterprise Output

Hydration Report.

Every factory run produces a Hydration Report — the auditable record linking input volumes to trusted outputs.

Hydration Report · Enterprise Demo

HYD-2026-00001

Source Objects Processed
250,000
Duplicates Identified
84,000
Knowledge Lineages Created
72,500
Canonical Knowledge Cores
72,500
FPA Molecules Created
72,500
Storage Deflation
reduction34%
Trust Improvement
increase+62%
Storage deflation is a side-effect. Trust is the outcome.

Platform Tools

The right tool for each scale.

Express Molecule Studio

Single document → trusted molecule

Individual users, creators, analysts

Explore →

Knowledge Transformation Studio

Many documents → trusted knowledge infrastructure

Enterprise, governments, institutions

Explore →

Data Hydration Factory

Legacy data lakes → canonical knowledge at scale

Enterprise data teams

THIS PAGE

Try Now

Express Molecule Studio

Drop a single document. See the hydration pipeline in action immediately.

Open Studio

Enterprise

Knowledge Transformation Studio

See the full enterprise pipeline — many documents to trusted knowledge infrastructure.

Explore

Questions about the Data Hydration Factory?

Read the FAQ

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