Exocad 3.2 Elefsina V 3.2 8820 X64 -2024- Multi... [top] Now
| Feature | Genuine exocad 3.2 | |---------|--------------------| | | exocad 3.2 Rijeka (or Galway for older) | | Build format | 3.2.0.10245 (example) | | Codename | Rijeka (not Elefsina) | | Distribution | Via authorized reseller + USB dongle | | Multi-language | Yes – English, German, French, Spanish, Italian, Japanese, Korean, Chinese, etc. | | x64 | Yes, native 64-bit | | 2024 updates | Released as service packs (e.g., build 3.2.1.10523 from March 2024) |
: By reducing the time spent on design and minimizing the need for manual adjustments, EXOCAD 3.2 Elefsina helps dental laboratories and clinics save on costs.
You have two main paths: a standard upgrade (requires an active upgrade contract) or the Ultimate Trade Up Offer , which grants you the latest software, all Ultimate Bundle modules, and access to newer versions through December 31, 2025. EXOCAD 3.2 Elefsina v 3.2 8820 x64 -2024- Multi...
New tools for virtual gingiva design and improved 3D-to-photo alignment allow for more realistic preoperative visualizations.
: One of the significant advantages of EXOCAD 3.2 Elefsina is its multi-language support. This feature makes it accessible to a global audience, allowing dental professionals from different parts of the world to use the software in their native language. | Feature | Genuine exocad 3
exocad 3.2 Elefsina (v3.2.8820 x64) is available for download starting this week for customers with valid update contracts. Resellers worldwide have begun rolling out the installation packages, ensuring that labs are equipped with the latest tools to tackle the challenges of 2024.
Offers new anatomic tooth libraries and supports a wider range of implant systems and titanium bases with variable screw channel angulation. Seamless Integration and Collaboration New tools for virtual gingiva design and improved
The Elefsina release introduces several tools designed to streamline daily workflows: Preparation Margin Repair
Includes AI Design , which automates tooth positioning and learns from user preferences to speed up the setup process.
