MANUFACTURING DATA MANAGEMENT

Every design and test file, in full view.

Manufacturing data management for automotive, aerospace, and industrial teams: Diskover indexes CAD, simulation, test, and sensor data across every file share, HPC system, object store, and archive, so engineers find the released version and IT stops paying flash prices for finished programs.

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3.3 PB

of engineering test data indexed at a global automotive manufacturer

Diskover manufacturing customer

90%

of it cold, untouched for over a year

Diskover manufacturing customer

32%

less storage volume after disposition at a global sportswear brand

Diskover customer

THE PROBLEM

Engineers see the tip. Storage holds the rest.

Every design iteration, simulation run, and test campaign leaves files behind. Test campaigns create large volumes of sensor and video data, and programs keep it for years. At one global automotive manufacturer, 90% of 3.3 PB of engineering test data had not been touched in over a year.

Diagram of engineering storage: current CAD and simulation runs above the surface, old iterations, CAE results, test logs, and sensor data below.

HOW IT WORKS

From scattered files to clear action.

01

CONNECT

Point Diskover at engineering file shares, HPC file systems, object stores, cloud, and archive. Indexing runs in place, so CAD vaults and test data stay where tools expect them.

Global visibility

02

CATALOG

Every file becomes a searchable record with rich metadata, such as name, path, owner, and dates, enriched with program, part, vehicle, and test campaign names from the path.

Metadata catalog

03

ORGANIZE

Tag by program, part, test campaign, release status, and export class. Build saved searches for superseded iterations, failed solver runs, or test data past its review window.

Data intelligence

04

ACTIVATE

Tier finished programs to lower-cost storage, clean up scratch and failed runs by policy, and deliver curated test and simulation metadata to analytics and AI pipelines.

Orchestration

BUILT FOR ENGINEERING DATA

Diskover speaks engineering.

Explore the plugin suite

Knows your file types.

File Kind groups CAD, CAE, test, and sensor formats into the categories your teams use, by extension.

Reads your program structure.

Programs, vehicles, parts, and test campaigns, recognized from paths and names with path tokens.

Finds duplicate CAD files.

Spot copies of the same assemblies and results across shares, by name and size, with an optional checksum.

Flags controlled projects.

Tag export-controlled programs by metadata such as path, owner, or site, and see where their files live.

WHO FEELS IT

Three teams. Three different pains.

DESIGN • SIMULATION

“Which version is the released design?”

  • Iterations hide across shares and vaults.
  • Solver output piles up after every run.
  • Results are hard to trace to their inputs.

With Diskover: find every iteration of a part across shares, and see which files are tagged as released.

IT • HPC

“Why does every test campaign double our storage?”

  • Test and sensor data arrive by the terabyte.
  • Finished programs stay on fast storage.
  • Nobody can approve the cleanup.

With Diskover: see test and sensor data by campaign, and tier finished programs by policy.

QUALITY • EXPORT CONTROL

“Where do controlled files live?”

  • Export-controlled data must stay in approved sites.
  • Programs must keep records for years.
  • Suppliers and partners leave copies behind.

With Diskover: see where export-controlled files live and which sites hold them, with an audit trail.

WHY IT MATTERS

Less time searching. More time engineering.

Teams lose 25% of their time just searching for answers, according to Atlassian. For engineers, that means the released design, the right test run, or the files behind a result. With context on every file, teams find what they need, put a cost on storage, and keep controlled data in view.

Explore data intelligence

Free up fast storage.

Finished programs and old test campaigns move to lower tiers by policy, based on real age and use.
Data tiering

Cost every program.

See storage cost by program, vehicle, or test campaign, so each team knows what it spends.
Chargeback

Find the released design.

Engineers go straight to the released version across every share, without asking around.
Saved searches

Keep controlled data in view.

Know where export-controlled files live and which sites hold them, for every audit.
Data governance

AI READINESS

Prepare engineering data for AI before it reaches a model.

Explore AI-ready data

01

TAG

Rules tag validated runs and reference data as they are indexed, so the next model starts from the same set.

02

CURATE

Select test runs, simulation results, and sensor data by program, part, or campaign. Path tokens turn folder names into search fields.

03

GOVERN

Tag export-controlled and supplier data so rules leave it out of the training set. Every dataset keeps its lineage.

04

DELIVER

Send curated file lists to your AI and analytics platforms as Parquet, or copy the data to where the model runs, by policy.

REAL-WORLD USE CASE

32% less storage. 41% fewer files.

A $5B sportswear brand, with a disposition program run by a global consulting firm.

1,350 TB

in total

450 TB

on-premises file shares

900 TB

in cloud repositories

113M

files

THE CHALLENGE

  • Data split between file shares and cloud repositories.
  • Retention and disposition had to be documented.
  • The program ran as a managed service, at scale.

HOW THEY USE DISKOVER

  • Indexed on-premises file shares and cloud data in one program.
  • Gave the consulting team one view to run the program.
  • Disposition by rule, with a full record.

32%

less storage volume

41%

fewer files

$233K

saved

FAQ

Common questions.

Scattered data points flowing into a single stream that becomes organized data paths across a world map.

See it on your own engineering data.

We will index a sample of your storage and show you what is recoverable against your current storage spend.

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