Limit Labs

Spatial intelligence for the built world

Pointcloud to CADScan to BIM workflows

Turn 3D scans into structured building geometry for CAD and BIM workflows. Our current work reconstructs floors, walls, doors, and MEP elements from point-cloud data.

Explore the Workflow

Primary capability

From captured space to structured geometry

Limit Labs is developing pointcloud-to-CAD technology for scan-to-BIM workflows. It converts observed 3D data into organized building elements that teams can inspect and carry into downstream modeling workflows.

Point-cloud capture of a building interior
Captured inputPoint-cloud scan
XYZ + color data
Reconstructed structured building model
Structured outputBuilding geometry
Floors · walls · openings
Scan-to-structured geometryCaptured spatial data → reconstructed building model

  1. Input

    Point-cloud scan

    Ingest common point-cloud formats containing captured XYZ geometry and, when available, color data.

  2. Reconstruct

    Building elements

    Identify and organize floors, walls, openings, surface information, and MEP geometry from the scan.

  3. Output

    Structured 3D geometry

    Produce coherent building geometry for review and continued work in CAD and BIM pipelines.

Current technical scope: building structure reconstruction, doorway workflows, surface and texture analysis, and MEP pipe identification and geometry fitting.

Additional capabilities

Generative 3D tools

Roomseed and Worldseed remain available for teams working on generated interiors and larger virtual environments.

Roomseed generated interior example

Roomseed

Generate furnished interior spaces from floorplans, with room structure, object placement, and exportable 3D scenes.

Open Roomseed
Worldseed generated landscape example

Worldseed

Create larger outdoor environments with terrain, vegetation, and architectural elements for interactive 3D use.

Open Worldseed

About Limit Labs

Spatial AI, built for real workflows

We’re builders first: MIT-founded, with experience at Roblox and NVIDIA. We’ve been working together for over four years across applied spatial computing, 3D content systems, research, and education. We build tools that make complex spatial data easier to turn into useful, editable environments.

Limit Labs team

Core Principles

Make Something Useful

We turn cutting-edge research into tools that make developers’ and artists’ work easier and more efficient.

Push the Limits

We explore new approaches to spatial intelligence while staying grounded in practical customer needs.

Enable Creators

We build systems that help people understand, edit, and extend 3D environments—not replace the people doing the work.