01Speckle
4.2Data interoperability platform for AEC
- →Open source
- →Excellent integrations
- →Version control
Buyer's guide
The connective layer: getting project data out of silos and into use.
Every AI ambition in AEC eventually hits the same wall: the data is scattered across authoring tools, PM platforms, ERPs, and file shares that don't talk. This category is the connective layer — model exchange (Speckle), integration APIs (Agave), managed warehouses with construction data models (Kroo), BI on BIM (VIM), and AI agents that work across it all (Datagrid, Nomic).
It's the least glamorous category and the highest-leverage one: firms that fix their data layer get compounding returns from every tool bought afterward. If your AI pilots keep stalling on 'we can't get the data,' start here, not with another point solution.
Data interoperability platform for AEC
Single API to connect any construction software — Procore, BIM 360, Sage, and more
Pre-built connectors and a managed warehouse unify ERP, PM and scheduling data into one source of truth, with AI enterprise search on top.
BIM data in Microsoft Power BI
AI agents that connect to project systems and automate data work across construction documents and workflows. Acquired by Procore in 2026.
Embeddings and AI platform (Atlas) that lets AEC firms deploy agents for code compliance, QA/QC and submittal review over their own data.
Layer is a no-code workflow platform to collect & capture data from anywhere on any device.
Because every AI tool's ceiling is the data it can reach. Firms with unified, structured project data get more from every subsequent purchase; firms without it keep buying point solutions that can't see each other.
Small firms need organized cloud documents and consistent standards more than a warehouse. The dedicated data layer starts paying off with multiple systems, multiple offices, or serious BI ambitions — typically 50+ people.
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