PartSpace is shaping the AI era of industrial purchasing and technical data management with solutions that redefine speed, precision, and insight. Its smart software, PartSpace AI, interprets technical drawings at expert level, fully automatically analyzing design data and identifying previously hidden potential savings. This allows industrial companies to reduce their procurement costs, save time and strengthen their position in the global market. Savings of over 10% in technical procurement are possible.

PartSpace AI allows users to streamline processes and save significantly on the procurement of drawing-based components. Abella, the AI model employed, was developed specifically for technical purchasing. Unlike traditional AI systems, which primarily rely on text or ERP data, Abella has been trained to recognize relevant features in CAD drawings and 3D models, including dimensions, tolerances, materials, and post-processing methods. The AI automatically analyzes, structures, and links this information with historical purchasing data and external market information. It recognizes how a component can be manufactured, which production processes are suitable, and what the realistic target price is. The result is a digital assistant that processes technical data automatically and evaluates it strategically.

The resulting structured data enables a wide range of applications, including strategic purchasing, cost engineering, supplier benchmarking, standardization, and quality assurance. PartSpace AI can calculate realistic target prices and identify suitable suppliers or detect duplicate components through similarity analyses. These capabilities enable the bundling of variants and the targeted leveraging of volume effects.

Real database and maximum data security

PartSpace AI was developed by PartSpace, a brand of Easy2Parts. While Easy2Parts acts as a system supplier for mechanical manufacturing parts, PartSpace brings its operational procurement knowledge to the industrial software landscape in the form of AI. The AI model of PartSpace AI was trained using real drawings, prices, supplier data, and processes from actual customer projects, rather than synthetic or publicly available data sets. This database, which has grown over time, ensures particularly robust analyses and reliable results. Each company receives an AI model that is trained exclusively on its own data. "Security is our top priority," explains Robert Hilmer, CEO and co-founder of PartSpace. "Our AI runs in a secure cloud environment. Companies retain full control over their sensitive information while capitalizing on the benefits of intelligent automation.”

With this solution, PartSpace is positioning itself not as a traditional tool provider, but as a strategic partner for industry, combining technical expertise, reliable data architecture, and real-world experience. While many companies are still experimenting, PartSpace AI is already being used productively, delivering measurable results and establishing its market viability. By pairing deep engineering knowledge with AI, PartSpace is making technical purchasing smarter, safer, and more sustainable, demonstrating its position as a pioneer in AI-driven engineering.