Dyndrite Application Development Kit (ADK)

The platform allows working with multiple geometric representations and file types, including both native CAD/BREP and STLs, concurrently. This capability handles large data files with billions of triangles by preserving all original data. Dyndrite Application Development Kit (ADK) software uses CAD-based color metadata to automatically manage key aspects of the build setup, which increases workflow automation.

Dyndrite Application Development Kit (ADK) uses advanced multi-threaded CPU cores and scalable GPUs to achieve very high processing speeds. This computing power transforms difficult build preparation tasks that conventionally took hours or days into operations completed in just minutes and seconds. The engine ensures fast and effective 3D viewing and modification of extremely large files and high part counts to maintain continuous interaction.

The platform incorporates sophisticated nesting and patterning tools designed to accurately place many parts onto the machine's build plate. It supports orientation optimization to make sure each part is positioned correctly for the printing process and the desired final product quality. These placement features easily accommodate hundreds and thousands of parts on a single build to maximize machine capacity and production volume.

Dyndrite Application Development Kit (ADK) uses a powerful engine to check the part's 3D shape in detail, which allows for Volumetric Segmentation. This print setting can be changed for different areas of the part, such as for a wall versus an internal structure. Custom applications can then precisely control machine variables, including variable droplet Size, light Intensity, or laser power across these different regions to achieve the best outcomes.

Build recipes enable the automatic creation of Python build scripts that act as the definitive trusted set of instructions for manufacturing a part. These recipes allow developers to formally put manufacturing rules and best practices into code directly within the build preparation workflow. By automating this specific process, the platform guarantees a repeatable quality result across all production runs, which significantly reduces process variability and errors.