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What AI companies build with architecture firms data
By SourceX Editorial · Updated
Short answer
AI companies use architecture firms data to build design assistants, code-compliance checking and spec writing. The most useful records are drawing sets metadata, specifications, design review comments and RFIs, because they show how real work in the field gets done.
Design assistants#
Models for design assistants learn from real examples of the work, such as drawing sets metadata and specifications, prepared with personal details removed.
Code-compliance checking#
Models for code-compliance checking learn from real examples of the work, such as drawing sets metadata and specifications, prepared with personal details removed.
Spec writing#
Models for spec writing learn from real examples of the work, such as drawing sets metadata and specifications, prepared with personal details removed.
How your records get there#
SourceX starts with a short fit check that shares no data. If it fits, rights are reviewed, a copy is prepared with personal and confidential details removed, and your company approves exactly what leaves before anything is delivered under a signed license.
Frequently asked questions
Will AI built from our data compete with us?
Licenses can limit uses and buyers. Raise it during the rights review.
Related resources
- IndustrySoftware development agencies data
- IndustryEngineering consultancies data
- DataCode review records
- DataSource code
- QuestionWho owns enterprise data?
- QuestionCan SaaS data be licensed?
- InsightCan engineering firms sell their data to AI companies?
- InsightCan I license my GitHub data to AI companies?
- InsightCan I license my practice management software data to AI companies?
- SolutionData partnerships between businesses and AI developers
- SolutionTurn the data your company already creates into a licensing asset
- GlossaryAI training data
See if your company qualifies
A short company assessment. No data uploads are needed.