KITOV.ai has integrated CMM-Manager, developed by QxSoft, as the GD&T engine inside its Core+ robotic inspection platform. The addition pairs the system's existing AI-driven defect detection with full ISO and ASME Y14.5 dimensional metrology, enabling inspection of all six sides of a complex part within a single automated cycle.
The Core+ platform already generated inspection paths from CAD models using AI, and used a hybrid approach combining classical 3D computer vision with deep-learning models to detect scratches, dents, discoloration, corrosion, assembly issues, and micro-cracks down to 50 µm resolution. What's new is the dimensional layer: CMM-Manager adds GD&T evaluation covering true position, flatness, profile, and perpendicularity, with fitting algorithms that carry PTB certification for accuracy.
The closed-loop workflow matters for production use. When KITOV.ai's AI flags a defect, the robotic system directs CMM-Manager's bright-field and dark-field vision to that exact location for high-resolution classification, precise measurement, and GD&T evaluation, all within the same pass. CMM-Manager's object-based, drag-and-drop interface eliminates text-based programming and supports multi-sensor workflows across vision systems, manual CMMs, portable arms, and CNC machines, covering both new and legacy equipment.
"By selecting CMM-Manager, we're unlocking full 360° vision metrology," said Robert Wasilesky, President of KITOV.ai North America. "Manufacturers can now harness the power of AI-driven 3D inspection across every side of a part, combined with professional-grade dimensional analysis, all within a single, intuitive platform." Nate Frost, President of QxSoft, added that the robotic guidance of KITOV.ai's multi-illumination vision system allows manufacturers to "detect, classify, and measure defects" in a single inspection pass.
The integration is already deployed with aerospace, medical, and precision manufacturers, though KITOV.ai did not name specific customers.
