Finch vs TestFit
Two Architecture AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
AI for how the world builds
Best forArchitecture and engineering firms exploring large-scale generative design grounded in their standards
What it doesFinch is an AI-native design platform that helps architecture and engineering teams generate buildable floor plans grounded in firm standards and local codes. It encodes institutional design systems, tests thousands of design options with real-time trade-off data, automates repetitive tasks and produces detailed floor plans, area calculations and BIM geometry quickly.
Capabilities- Generative buildable floor plans
- Design-system encoding
- Large-scale option exploration
- Code-aware design
- BIM geometry output
- Task automation agents
Visit Finch →AI-powered real estate feasibility and site planning
Best forArchitects and developers running site feasibility and parking studies
What it doesTestFit automates early-stage site planning and feasibility analysis using generative AI. It creates optimised building layouts, parking configurations and 3D massing based on parameters such as zoning, density and floor area ratios, alongside financial projections, helping architects and developers evaluate deals quickly.
Capabilities- Generative site and building layouts
- Parking optimisation
- Feasibility and deal evaluation
- Real-time 3D massing
- Financial pro forma
Visit TestFit →How to choose
Choose Finch if you are architecture and engineering firms exploring large-scale generative design grounded in their standards. Choose TestFit if you are architects and developers running site feasibility and parking studies. Both sit in Architecture; the right pick depends on your exact workflow and budget.
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