Python development
Scripting & pipelines
The language behind most AutoCAD automation scripts.
Learn more →Engineering and architecture firms spend thousands of hours on repetitive CAD and BIM tasks — renaming drawing sets, populating title blocks, generating schedules, exporting DXF, running clash detection. AutoCAD automation and BIM automation eliminate the manual loops, reduce human error, and give your team back time for billable design work.
No off-the-shelf shortcuts
Scripting and integration stack
Architecture, civil, MEP, QS
Based locally, clients globally
These are common starting points — every engagement is scoped to your files, your standards, and your downstream systems.
Generate dozens or hundreds of AutoCAD drawings from a template and a data source (Excel, database, API). Title blocks, drawing numbers, revision clouds, and layer structures applied consistently — no copy-paste per sheet.
Script audit and repair runs across existing .dwg files — catch non-standard layers, wrong fonts, missing attributes, or off-spec line weights before issue. Fixes applied in bulk, log of changes written to file.
Scheduled or triggered exports from AutoCAD or Revit to DXF, PDF, or IFC — renamed by convention, placed in the right folder or uploaded to a document management system. Replace nightly manual exports with a job that runs unattended.
Pull door schedules, room data, BIM parameters, or element counts from Revit models or block attributes from AutoCAD — structured to CSV, Excel, or a direct database write. Pairs well with QS AI for BOQ generation.
Revit automation tools built on the Revit API or Dynamo scripting — view generation, sheet set creation, clash check exports, and model health checks that run before every issue to catch problems while they are still cheap to fix.
Drawings are not isolated: asset tags, equipment IDs, or room codes in a model should match your CMMS, ERP, or project management tool. We write the integration layer so CAD data and business systems stay in sync.
The integration method is chosen for your environment: what you run locally, what is in the cloud, and what your downstream systems can receive. We combine these where it makes sense rather than forcing one pattern.
The most portable approach for local workflows. We use pyautocad, the COM/ActiveX interface (win32com), or direct DXF manipulation via ezdxf — depending on whether AutoCAD is on-screen or headless. Scripted in Python with logging, retries, and clean output formats.
Autodesk Platform Services (formerly Forge) — cloud-based AutoCAD or Revit engine without a local install. Send a drawing, run an AppBundle, get output back. We build the AppBundle, configure Activities and WorkItems, and connect the REST calls to your system. Best for cloud-scale or headless scenarios.
For Revit automation tools with deep model access — external commands, event handlers, and Revit add-ins in C# or VB.NET; or Dynamo player scripts for tasks your team runs manually. Installed on workstations or via Revit Server.
Emit webhooks when a drawing is issued; accept REST calls to trigger a generation job; push extracted data to any endpoint. Connects your AutoCAD automation pipeline to Zapier, Make, Power Automate, or any internal system that speaks HTTP.
Emerging integration pattern for connecting AI tools and agents to your CAD data. An MCP server exposes drawing metadata, parameter queries, or generation functions to LLM-based tools — so Cursor, Claude Desktop, or your own AI product can read or drive AutoCAD context. We implement MCP servers on top of the Python or REST layer. Relevant when AI development meets your CAD pipeline.
For BIM automation that needs to move beyond proprietary formats — parse IFC with ifcopenshell, query geometry and property sets, and route data to dashboards, cost tools, or FM systems. Keeps BIM automation workflows independent of a single authoring platform.
Off-the-shelf AutoCAD plug-ins and Revit apps solve generic problems. Your office has specific drawing standards, a specific naming convention, a specific connection to your PM or ERP system, and specific edge cases that break generic tools. Every autocad automation we build is scoped to those specifics.
That means the integration method is chosen for your environment too: if you run AutoCAD locally and need Python scripting triggered from a server event, we use COM or ezdxf. If your team is moving to the cloud or needs autodesk design automation at scale without local seats, we configure the APS Design Automation API. If you are building an AI product that needs to query or generate drawings, MCP is the right surface.
We also connect output to the rest of your stack — data analytics and dashboards if you need to track drawing status, workflow automation when downstream processes should trigger on new issues, and custom software when a full product is the right answer.
Yes — this is one of the most common requests. AutoCAD Python automation typically uses pyautocad (COM interface) or ezdxf for headless DXF manipulation. We choose based on whether AutoCAD must be running, what version you have, and whether you need to read only or also write back. For scripting that runs on a server overnight or integrates with your data stack, Python development is the right frame.
Autodesk Design Automation (part of Autodesk Platform Services, formerly Forge) runs AutoCAD or Revit processing in the cloud. You upload a design file, specify an operation (via an AppBundle you create), and retrieve output — without a local Autodesk install. It is best for cloud-scale scenarios, ISVs building products on top of Autodesk, or firms that want to process drawings without tying up a workstation licence.
We build Revit add-ins (.NET external commands), Dynamo scripts for repeatable manual tasks, and Python-based post-processing via the Revit API or IFC export. Common revit automation tools we scope: automatic sheet creation from a schedule, parameter population from an external database, clash report exports, and view template enforcement across linked files.
BIM automation can extend to IFC-based workflows, OpenBIM toolchains, and integrations with facilities management or cost estimation systems. We use ifcopenshell for IFC parsing and can route data to platforms like Procore, Aconex, or custom dashboards. For quantity surveying from BIM and CAD, see QS AI.
A sample file (or screenshot), the task you want automated, what triggers it (schedule, event, button), and where the output should go. The more specific, the faster we can assess feasibility and give a fixed or ranged price. Use the contact form or email.
Whether it is AutoCAD Python automation, a cloud pipeline on Autodesk Design Automation, or a Revit add-in that saves your team hours every issue — send us the file type, the task, and the destination.
Contact us Python developmentScripting & pipelines
The language behind most AutoCAD automation scripts.
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