ENCY receives SOLIDWORKS certification and strengthens digital process chains in 3D printing

The end-to-end linkage of design and manufacturing is considered a key prerequisite for efficient additive and hybrid production processes. Against this backdrop, ENCY Software has obtained the status of a certified partner in the SOLIDWORKS Solution Partner Program. At the same time, the ENCY CAD/CAM system is officially listed as a compatible partner product, confirming a verified integration into the development environment of SOLIDWORKS .

For users in 3D printing, this certification is particularly relevant with regard to data consistency. Additive manufacturing processes are sensitive to geometry changes, for example in the case of functional adjustments or lightweight optimization. According to ENCY, the close coupling with SOLIDWORKS reduces the risk of version conflicts between the CAD model and downstream manufacturing steps. User reports from the certification process show that model changes can be transferred into production planning without additional conversion steps.

While SOLIDWORKS is established as a design standard in many companies, bottlenecks often arise only when designs are implemented in real manufacturing processes. ENCY positions itself here as a unified programming environment for CNC and robotic systems. This is particularly important in the context of additive manufacturing, for example in robot-assisted 3D printing processes, the milling of additively manufactured components, or automated post-processing operations. The software relies on a consistent user interface and a clear interaction model to keep training effort to a minimum.

Beyond classic CAM functions, ENCY also addresses collaborative aspects with its X ecosystem. Shared project contexts, data exchange, and integrated communication are intended to facilitate coordination between design, simulation, and manufacturing. For teams integrating additive processes into existing production chains, this can contribute to more stable workflows and better predictable throughput times.