Engineering data for AI

Unique engineering datasets for AI training, spanning native models, technical drawings, and simulation outputs. Sourced through industry partnerships and structured around your research.

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ENGINEERING DATA

Technical depth,
across engineering workflows

Native models, assemblies, drawings, and simulation outputs from tools such as CATIA, SolidWorks, and AutoCAD. Define your coverage by engineering domain, file format, and project type.

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EXAMPLE DATASET CONTENTS

CADASSEMBLYBattery enclosure assemblyNative assembly and referenced parts

PARTEnclosure componentsNative component files

STEPExchange modelsSTEP geometry

Parts and assemblies

Illustrative dataset contents

FILENative engineering files

Native CATIA and SolidWorks files, assemblies, components, and STEP models.

LINKAssembly relationships

Related parts and assemblies organized together.

NOTENative structure

Source formats determine available geometry, constraints, and assembly structure.

Example package. Formats and coverage vary by collection.

DATASET STRUCTURE

Native structure.
Project-level context.

Keep assembly dependencies, specifications, calculations, and supporting documents linked to their source projects. Available revision histories capture how designs change over time.

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Example project package

Engineering projectIllustrative contents

├─ assemblies + components / native engineering files

├─ drawings + specifications / related documents

├─ revisions / available design history

└─ source records / provenance and permitted use

Native assets + linked context + source records.

PROVENANCE AND QUALITY

Traceable sources.
Documented usage rights.

Assess each collection through source records, ownership evidence, and documented usage rights. Supporting materials can include fraud-screening results and file-integrity reviews.

Discuss provenance requirements

OverviewOwnershipIntegrityAudit trail

Example collection ORLA-ENG-042

Illustrative source, ownership, and integrity records

PASSOwnership verified

The source company and permitted use are recorded for every file in the collection.

PASSFraud screening passed

Company identity, supporting evidence, and file history have been reviewed.

READYFile integrity confirmed

Native assets and metadata match the documented source records.

This example shows how a provenance record can accompany a collection.

EXAMPLE DILIGENCE RECORDS

JSONVERIFIEDownership.jsonSource and usage rights

LOGfile-integrity.logNative asset checks

PDFlicense-evidence.pdfPermitted use attached

CUSTOM DATASETS

Unique access. Datasets to specification.

Close partnerships with engineering companies give us access to unique project data and the expertise to prepare it. We collaborate directly on file selection, project context, and dataset requirements.

Discuss your dataset

Targeted sourcing

Specify the engineering domain, project types, and native formats your research requires.

Technical preparation

Organize native files, metadata, and dependencies into a connected project structure.

Defined deliverables

Agree on dataset scope, supporting documentation, and available revision history before collection.

Build your next engineering dataset