Context library
Builds a richer picture of each detail from its project metadata, associated discipline, annotations, family names, and synced preview image.
Recs for Autodesk Revit
Your firm's details, recommended for the project in front of you.
Recs goes beyond title matching. It builds a contextual understanding of your firm's library from project metadata, synced detail preview images, and associated disciplines, then uses the active project's context to surface the most relevant details.
See Recs work
Recommendations inside the Revit workflow.
How Recs works
AI that understands context, not just titles.
A title can describe what a detail is called. Recs also considers where it came from, what it contains, and which discipline uses it.
Project understanding
Reads the active project's non-sensitive metadata and discipline signals to understand the type of work currently being designed.
Contextual matching
Compares that project context with past-project details and firm standards instead of relying on title keywords alone.
Relevant results
Ranks the strongest matches for the project, ready to import or place directly on a sheet.
Enterprise-grade AI
Your firm's data stays your firm's data.
Requests are authenticated through Firebase and processed with Google Vertex AI. Full Revit models, proprietary geometry, and complete project files never leave the machine, and firm data is not used to train foundation models.
Firmscoped recommendations generated exclusively from your own connected library.
Security
Designed for sensitive AEC workflows.
No public AI endpoint
Processed inside the Details environment
AI traffic is routed through authenticated Cloud Functions and Google Cloud infrastructure rather than consumer AI services.
Complete workflow
AI is one part of the Revit-native system
Search, recommendations, sharing, organization, and placement work together without moving details into an external authoring platform.
Start with your own library