Software Understands Design Data And Makes Decisions

Artificial Intelligence Software Understands Design Data And Makes Decisions

2025-10-09 Source: Part Space | Translated by AI 2 min Reading Time

The smart software Part Space AI understands technical drawings like an expert, analyzes design data fully automatically for the first time and identifies potential savings that were previously hidden. This enables industrial companies to reduce their procurement costs, save time and strengthen their position in the global market.

Part Space AI filters by material, dimension, manufacturing process, supplier or project status—ideal for data-driven purchasing decisions.(Image: PartSpace) — Part Space AI filters by material, dimension, manufacturing process, supplier or project status—ideal for data-driven purchasing decisions.
(Image: PartSpace)

With the AI-driven platform Part Space AI, the company Part Space, a brand of Easy2Parts, claims to have reached a milestone in industrial AI: Part Space AI enables users to achieve more efficient processes and noticeable savings potential in the procurement of drawing-based components.

Digital Assistant Makes Technical Data Usable

The Abella AI model used for this was developed specifically for technical purchasing. While traditional AI systems primarily rely on text or ERP data, Abella has been specifically trained to recognize relevant features in CAD drawings and 3D models—from dimensions and tolerances to 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 which target price is realistic. The result is a digital assistant that not only processes technical data automatically, but also strategically evaluates it and makes it usable.

Part Space makes industrial procurement fit for the AI age. Savings of more than 10 percent in technical procurement are possible.

Part Space AI analyzes technical data, calculates real prices and automatically suggests suitable suppliers—including a price breakdown by material, volume and post-treatment.(Image: PartSpace) — Part Space AI analyzes technical data, calculates real prices and automatically suggests suitable suppliers—including a price breakdown by material, volume and post-treatment.
(Image: PartSpace)

The resulting structured data opens up a wide range of applications: from strategic purchasing, cost engineering and supplier benchmarking to standardization and quality assurance. Part Space AI can not only calculate realistic target prices, but also identify suitable suppliers or uncover component duplicates through similarity analyses. This allows variants to be bundled and volume effects to be used in a targeted manner.

Real Database And High Data Security

The special feature: Part Space AI's AI model was not trained on synthetic or publicly available data sets, but on real drawings, prices, supplier data and processes from real customer projects. This historically grown database ensures robust analyses and reliable results. Each company receives an individually trained AI model that is based exclusively on the company's own data. "Security is our top priority," explains Robert Hilmer, Managing Director and co-founder of Part Space. "Our AI runs in a secure cloud environment. Companies retain full control over their sensitive information—and at the same time benefit from the advantages of intelligent automation."

Our AI runs in a secure cloud environment. Companies retain full control over their sensitive information.

Robert Hilmer, Managing Director and Co-Founder of Part Space

Info

Growth capital providers Armira Growth and Bayern Kapital are jointly investing up to 14 million dollars in the up-and-coming AI software provider Part Space. The financing is one of the largest in Lower Bavaria; the founders retain a majority stake in the company. The aim is to roll out the technology internationally and accelerate growth.

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Date: 08.12.2025

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