68% of organisational data is never analysed.PLUMdata is where that changes.
Files that can't be found can't be used. PLUMdata reads the contents of every file in your Drive, names it against your convention, and groups it into a structure that makes sense — turning the unstructured 90% of your data into something both humans and AI can actually retrieve.
Private by design — processed in session, never stored, never used to train AI.
Five steps from messy to managed
Connect your Drive, define your naming convention, and let PLUMdata do the analysis. Review every suggestion at your own pace — nothing is applied without your approval.
Connect
Define the standard
PLUMdata analyses
Review and approve
Apply at scale
One naming standard. Every file type.
A single, unified naming convention applied across all your digital assets.
ARW · CR2 · CR3 · NEF · DNG · RAF · HEIC · JPG · PNG · TIFF
You define the standard. PLUMdata enforces it.
Set your naming convention once during onboarding — separators, dates, capitalisation and structure. Every change across your entire Drive is then made in alignment with that standard.
What PLUMdata actually does to each file
No new storage system, no migration, no exfiltration. PLUMdata sits at the discovery and metadata layer of your existing Drive — reading just enough of each file to name it well, then writing the rename back through the official Drive API. The same layer the IBM Data Management framework identifies as the precondition for analytics, search and AI-readiness.
Content-aware analysis
For each file, PLUMdata extracts the minimum signal needed to identify what it actually is — header text in a document, the first sheet of a spreadsheet, EXIF and visual scene data for a photo. This is the data discovery step that surfaces what your Drive already contains — including the shadow files no one knew were there.
Convention-aligned naming
The extracted signal is matched against the naming convention you defined during onboarding — separators, date format, capitalisation, structure. The output is a single descriptive filename, formatted exactly the way your team works. Descriptive metadata is what makes a file findable, retrievable and AI-addressable.
Applied to your Drive
Once approved, the rename is pushed through the Drive API in place. The file stays where it lives, keeps its permissions, and retains Drive's native version history. No duplication, no migration, no parallel storage — the “zero-copy” pattern the IBM framework identifies as the modern alternative to ETL.
The case for naming, in numbers.
PLUMdata is built on a simple premise drawn from the data-management literature: files that can't be identified can't be analysed, can't be retrieved by AI, and quietly raise your breach surface. Three numbers from the field make the case.
of organisational data is never analysed.
A further one-third of breaches now involve shadow data — files the organisation didn't know it had — at an average cost of USD 5.27 million, 16% above the global breach average. Most of this data isn't missing; it's mis-named. PLUMdata reads the contents of every file and gives it a name that says what it actually is, so nothing in your Drive stays invisible.
of enterprise unstructured data is in a format suitable for direct AI use.
90% of all enterprise data is unstructured. Only 29% of technology leaders say their data meets the standards needed to scale generative AI, and just 16% of AI initiatives have reached enterprise scale. Consistent, descriptive filenames are the cheapest possible step toward AI-readiness — they're what RAG systems retrieve before they retrieve content.
of enterprises report data silos that stymie key workflows.
86% of organisations are now prioritising data unification for AI readiness, and 80% of CDOs say data democratisation is what lets their organisation move faster. A unified naming convention is the precondition for any unified catalogue, mesh or fabric above it — PLUMdata enforces one standard across every owner, folder and file type without moving a byte.
PLUMdata proposes. You decide.
Every change is reviewable, every change is reversible, and nothing gets applied to your Drive without an explicit approval action from you.
Approve one by one, or in bulk
Edit any suggestion
Skip anything
Undo any change
Update the standard any time
Nothing is stored after the session
Ready to see it on your own data?
Start with a free 10-file assessment. Private by design — processed in session, never stored, never used to train AI.
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