OpalAi vs Finch 3D — The 2026 Verdict

OpalAi

3d floor planning

OpalAi is a specialized platform operating within the 3d floor planning sector. OpalAi is a specialized platform operating within the 3d floor planning sector. ScanTo3D is an iOS application developed by OpalAi that allows users to scan large environments swiftly for prominent structures such as houses and buildings. By leveraging the scanning functionality of devices with LiDAR cameras, ScanTo3D creates accurate 2D floor plans, BIM models, and 3D visualizations of these large spaces. Users can add texture and colors directly in the app, granting them the ability to create a digital twin of their place. Further, with the opportunity to take measurements on your device, users can edit and extend the ongoing scan. On completion, users can choose from a variety of formats to share their scans, including OBJ, GLTF, GLB, STL, and FBX. The app also offers an upload feature for users to get a 2D/3D FloorPlan with ANSI complaint GLA calculations. The application uses machine learning and AI-enabled algorithms to assist in the automation of these processes, ensuring a low margin of error. It is designed to be user-friendly, thus it doesn't require trained operators or expensive equipment to run. It reduces on-site planning and scanning time considerably, making the process of creating 3D models of large environments more accessible and straightforward. Built to address core workflow bottlenecks for digital practitioners and enterprise teams, it provides a structured execution interface, predictable operational performance, and modern algorithmic models tailored for consistent daily deployment. Built to address core workflow bottlenecks for digital practitioners and enterprise teams, it provides a structured execution interface, predictable operational performance, and modern algorithmic models tailored for consistent daily deployment.

Finch 3D

3d floor planning

Finch 3D is a specialized platform operating within the 3d floor planning sector. Finch 3D is a specialized platform operating within the 3d floor planning sector. Finch is an AI tool focused on building design optimization, powered by graph technology. It provides immediate feedback on building performance, helps to detect errors, and offers optimal solutions at the early stages of design. The tool allows users to iterate faster and explore multiple mass and program variants effortlessly. Finch can automatically fill in stories with plans, making it easier to compare different alternatives in seconds. With Finch, architects don't have to spend time on Excel roundtrips to calculate key figures as the tool provides instant feedback on unit and area distribution, carbon footprint, daylight simulation, and other crucial features. The tool also enables architects to break the right rules, thanks to an error prevention feature that ensures the designs are compliant with the rules of the firm, customer, and municipality.Finch has a built-in feature that allows users to share fully interactive 3D models with anyone via browser, making it easy to get immediate feedback on massing, plans, and objects in the design. Additionally, Finch's designs can be saved to an organization library, where they can be infinitely reusable. The tool is designed to be simple, beautiful, and functional, with AI to assist and inspire architects, making it invaluable for architectural design. Finch also supports bidirectional streaming of 3D data, enabling users to design the building mass in other software such as Revit, Rhino, and Grasshopper, while direct data feedback and changes are made in Finch. Finch has over 12,000 individuals on their waiting list; interested users can sign up for early access. Built to address core workflow bottlenecks for digital practitioners and enterprise teams, it provides a structured execution interface, predictable operational performance, and modern algorithmic models tailored for consistent daily deployment. Built to address core workflow bottlenecks for digital practitioners and enterprise teams, it provides a structured execution interface, predictable operational performance, and modern algorithmic models tailored for consistent daily deployment.