About
ArchiLabs reimagines CAD for the AI era, targeting MEP engineers, data center designers, and infrastructure teams who need speed without sacrificing reliability. Unlike traditional CAD tools, ArchiLabs treats components as intelligent Python objects: a rack knows its power draw, clearance rules, and cooling requirements, and the platform validates every dependency automatically when something moves. At its core, the platform is Python-native — components are Python classes, automation workflows are Python scripts, and AI can generate both from plain English descriptions. This makes the platform accessible to non-developers while remaining deeply extensible for engineers. AI generates executable, versioned "Recipes" — deterministic workflows that are fully auditable and reproducible, so teams get faster delivery without risking costly errors. Version control is built in: every design change is tracked, teams can branch layouts, explore alternatives in parallel, diff changes, and merge the winner — with no file locking or merge conflicts. For compliance-heavy environments, there's a full audit trail. ArchiLabs integrates with existing stacks via IFC, DXF, and PDF export, and works alongside Revit and AutoCAD rather than replacing them. It also offers an embeddable SDK for teams wanting to add CAD capabilities to their own products. Validation is computed and automatic, surfacing typed violations with severity and root-cause grouping so design errors are caught in the platform, not on the construction site.
Key Features
- Smart Components: Components carry their own intelligence — a rack knows its power draw, clearance rules, and cooling requirements. Move it and the platform validates every downstream dependency in seconds.
- Python-Native Automation: The entire platform is built around Python as a first-class interface. Components are Python classes, automation workflows are Python scripts, and AI can generate them from plain English.
- AI-Generated Deterministic Workflows: AI translates design intent into executable, versioned 'Recipes' — fully auditable and reproducible workflows that ensure reliability while dramatically accelerating delivery.
- Version Control for Designs: Every change is tracked automatically. Teams can branch layouts, explore alternatives in parallel, diff changes, and merge — with full audit trail support for compliance.
- Proactive Error Prevention: Automated validation surfaces typed violations with severity and root-cause grouping — catching design errors in the platform before they become costly construction-site problems.
Use Cases
- Data center layout design, rack placement, and power/cooling validation for infrastructure teams.
- MEP system design for hospitals and large campuses with automated cross-discipline error checking.
- Converting legacy 2D DXF floor plans into structured, parametric 3D models for modern workflows.
- Embedding full CAD capabilities into third-party software products using the ArchiLabs SDK.
- Multi-discipline facility design collaboration with branch-based parallel exploration and compliance audit trails.
Pros
- AI Speed with Deterministic Reliability: Uniquely combines generative AI speed with fully auditable, reproducible results — teams iterate faster without trading away the reliability complex facilities demand.
- Seamless Stack Integration: Exports to IFC, DXF, and PDF and works alongside Revit and AutoCAD, meaning teams adopt ArchiLabs without abandoning existing workflows or tools.
- Real-Time Collaboration Without Conflicts: Multiple team members work simultaneously on the same design with no file locking or merge conflicts, and every change is automatically tracked.
Cons
- Enterprise Pricing, No Self-Serve Access: Access requires a demo request with no publicly listed pricing, making it difficult for smaller teams or individuals to evaluate quickly.
- Specialized Domain Focus: Purpose-built for data centers and MEP/critical facility teams — general architecture or residential design workflows may not be well-supported.
Frequently Asked Questions
What is ArchiLabs?
ArchiLabs is an AI-native CAD platform that enables engineering and design teams to create, validate, and collaborate on complex facility designs entirely in the browser, using AI-assisted workflows and Python automation.
Who is ArchiLabs built for?
ArchiLabs is purpose-built for data center designers, MEP (mechanical, electrical, plumbing) engineers, and teams working on complex critical infrastructure like hospitals and large campuses.
Does ArchiLabs integrate with tools like Revit and AutoCAD?
Yes. ArchiLabs exports to IFC, DXF, and PDF formats and imports existing drawings, making it compatible with Revit, AutoCAD, and other tools your team already uses.
Do I need to know Python to use ArchiLabs?
No. The platform accepts plain English instructions which the AI converts into executable Python workflows. Python knowledge unlocks additional customization, but is not required for core usage.
How does version control work in ArchiLabs?
Every design change is automatically tracked. Teams can branch layouts to explore alternatives in parallel, compare (diff) changes between versions, and merge the preferred design back — similar to Git-style version control for code.
