Camngo Srl operates in the metalworking sector, offering advanced technological solutions for the design and manufacture of mechanical components. The company aims to improve efficiency and competitiveness through digital innovation and automation of production processes.

Metalworking companies face long lead times and inefficiencies in the quoting process due to the need to manually analyse each 3D model to estimate costs and machining operations. Traditional software still requires manual characterisation, slowing down decision-making, especially with high volumes of requests.

The project develops a system that automatically analyses 3D models of finished parts, comparing them with a historical database of production processes and costs using machine learning and deep learning algorithms. Automated morphological analysis and feature categorisation allow for accurate estimation of production costs without the need for manual intervention, speeding up and optimising the quotation process.

Machine learning and deep learning.

Automated analysis of 3D models and feature extraction.

Categorisation and matching algorithms with company databases.

AI simulation of production processes.

Optimisation of production parameters using AI.

Increased operational efficiency by reducing time and errors in estimating

Reduction of waste and optimisation of materials thanks to accurate estimates

Better production planning with optimal resource allocation

Business scalability with the ability to handle higher volumes without increasing costs

Real-time data analysis for immediate monitoring and corrections