Blueprint detail
Production System — Not a Prototype

AI-Powered BIM.Not Science Fiction — Production Reality.

Our system connects Claude AI directly to Revit through named pipes, reading markups, creating walls, placing views, and assembling construction document sets — all in real time.

The Pipeline

Four layers working together. One AI orchestrating everything from markup to construction document.

Layer 1Revit

Your BIM model, your data, your standards. The single source of truth.

Layer 2RevitMCPBridge

Named pipe connection — not HTTP, zero latency. Open source on GitHub.

Layer 3AI Engine (Claude)

Understands architectural intent. Reads markups. Makes decisions.

Layer 4MCP Servers (17+)

Excel, Bluebeam, browser, file system, database — all connected.

Named pipes deliver sub-millisecond IPC — no REST overhead, no network dependency.

What AI Actually Does

Not chatbot suggestions. Real execution on real Revit models.

Reads PDF Markups

In

Redlined PDFs with dimensions, notes, and callouts

Out

Identifies changes and applies them directly to the Revit model

Assembles CD Sets

In

Project requirements and view templates

Out

Creates sheets, places views, sets scales, adds annotations — 50+ sheets in minutes

Coordinates Documents

In

Plans, sections, elevations across disciplines

Out

Cross-references and catches conflicts before they reach the field

Produces Construction Details

In

Detail requirements from plans and specifications

Out

Selects from 498+ cataloged details and places them at the correct locations

Measured Results

75%
Faster CD Production
vs. manual workflow
89
Hours Saved Monthly
2+ full work weeks
$461
Total Monthly Cost
all AI + tooling
29x
Return on Investment
time value recovered

Numbers from production use on residential and commercial projects. Not projections — actual tracked output.

Implementation Process

From assessment to production in five weeks. No disruption to active projects.

Week 1-2

Assessment & Setup

We analyze your current workflow, template standards, sheet naming conventions, and detail library. The system gets configured to match your firm's standards — not the other way around.

Week 3-4

Integration & Testing

RevitMCPBridge installed on your machines. AI pipeline connected and tested on a real project from your backlog. We validate output against your QA checklist.

Week 5+

Production & Training

Your team starts using the system on live projects. Hands-on training for BIM managers and project architects. Ongoing support as you scale.

Common Questions

No. It replaces the repetitive 70% of construction document work — sheet creation, view placement, annotation, detail coordination. Your architects spend more time on design, client relationships, and the decisions that actually require professional judgment.

Revit 2024, 2025, and 2026. RevitMCPBridge uses version-specific named pipe connections. Each installation targets a single Revit version, and multiple versions can run on the same machine.

Everything runs locally on your machine. No cloud processing, no data uploads, no external API calls to third-party BIM services. Your models and documents never leave your network. The AI engine runs through a local connection to Claude via your own API key.

Those are chatbots that generate text suggestions. This is a production system wired directly into Revit via named pipes with sub-millisecond response time. It doesn't suggest — it executes. It reads your model, creates elements, places views, and assembles documents.

See it in action.Request a live demo.

Not a slide deck. A live system running on a real machine, building real construction documents, in real time.

Weber Gouin  ·  BIM Ops Studio  ·  Autodesk Developer Network Member

Transform your CD production.

Request a demo today.