Finch 3D

Finch 3D is an AI generative architecture platform that accelerates layout creation, offers real-time design feedback, enforces rule constraints, and exports to BIM tools—all in an intuitive workflow.

Pricing Model: Free + Paid

Category: Interior and Architectural Design Ai Tools

https://www.finch3d.com/

Release Date: 04/09/2019

• Generative floor plan and unit layout generation

• Real-time performance feedback (areas, daylight, CO₂, etc.)

• Rule-based constraints via “Graph Rules” for compliance checking

• Editable results: users can manually adjust AI outputs

• Integration / bidirectional exchange with Rhino, Revit, Grasshopper

• Adaptive plan library: reuse and adapt existing plan templates

• Export full BIM / CAD models (walls, tags, area plans) into Revit or other tools

• Massing import and iteration (take geometry from external tools)

• Interactive, cloud collaboration and versioning

• Advanced algorithm updates (e.g. Generate Floor Plate 2.0) for more control and transparency

Finch 3D is a next-generation design tool built to empower architects in the early stages of building design by combining AI, graph algorithms, and architectural logic. Using Finch, architects can rapidly generate, test, and refine building layouts with visibility into real performance metrics and regulatory compliance, turning what used to be manual, repetitive steps into fluid, data-driven exploration.

At its core, Finch allows users to import building mass or geometry from familiar modeling tools—such as Rhino, Revit, or Grasshopper—and then propose multiple spatial layouts within that mass. These layouts are driven by generative routines that consider circulation, unit mix, daylighting, area ratios, and code constraints. As the designer tweaks parameters (for example adjusting unit counts, massing extents, or circulation cores), Finch recomputes and presents alternative variants dynamically.

One of Finch’s standout capabilities is its Graph Rules system: designers can encode spatial, regulatory, or programmatic constraints (for instance minimum corridor width, adjacency rules, daylight requirements) and Finch continuously evaluates whether proposed layouts violate them. This ensures that AI recommendations remain valid and usable in real architectural contexts. The tool shows multiple options at once, ranked by performance metrics, letting users select the best trade-offs.

Another strength is its adaptive plan library. Designs previously created by the firm or designer can feed into the system as templates; when Finch generates new layouts, it attempts to adapt relevant library plans before resorting to fully AI-generated designs. This blend ensures that outputs stay close to a practice’s preferred style while benefiting from the generative engine.

Finch supports a full BIM export workflow: once a layout variant is selected, designers can export walls, rooms, area plans, tags, and other elements into Revit or other platforms, ready for documentation. This ensures no break in the design chain. The tool also supports collaboration, version tracking, and stakeholding review, making it practical for real design studios.

Recent updates have introduced Generate Floor Plate 2.0, which gives architects more control over how many cores or circulation paths the algorithm should try, and offers transparency on why certain unit mixes are infeasible for a given mass. This improves trust and architectural control over generative results.

Overall, Finch 3D bridges the gap between architectural intuition and computational rigor. It helps designers explore many “what if” scenarios at speed, ensuring better design decisions, fewer late changes, and layouts that perform well in real metrics. As AI continues to reshape the architectural process, Finch 3D stands out as a promising co-designer tool rather than a replacement—enabling architects to maintain control while gaining computational leverage.

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