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Dimanex

SoftwareUtrecht, NetherlandsFounded 2015· One of 354 Software companies tracked by AMPulse

A cloud-based end-to-end platform that leverages AI to identify industrial spare parts suitable for 3D printing and manages their on-demand production through a distributed manufacturing network.

CEO / Founder
Pieter Ruijssenaars
Team Size
11-50
Stage
Defunct
Total Funding
$7.5M
Latest Round
Series A
Key Investors
henQ, Marisan & Partners BV, La Terza SARL

Technology & Products

Key Products

["Supply Chain Inspector (AI-driven analytics engine for part identification)","Digital Inventory (Secure cloud repository for 3D design files)","Distributed Manufacturing Network (Vetted global network of 3D printing service providers)","End-to-End Workflow Management (Orchestration from part selection to delivery)"]

Technological Advantage

Provides a seamless integration between digital inventory and a physical production network, allowing companies to bypass traditional manufacturing constraints and eliminate 'long-tail' inventory waste.

Differentiation

Value Proposition

Reduces physical inventory costs and supply chain risks by transforming physical warehouses into 'virtual' ones, enabling local on-demand production to cut lead times and carbon emissions.

How They Differentiate

Proprietary 'Supply Chain Inspector' AI that analyzes ERP data to determine the economic business case and technical feasibility for 3D printing legacy parts, focusing on supply chain optimization rather than just print management.

Market & Competition

Target Customers

Original Equipment Manufacturers (OEMs), Maintenance, Repair and Operations (MRO) teams, and large industrial companies with extensive legacy spare parts inventories.

Industry Verticals

["Automotive","Energy & Utilities","Transportation (Rail, Maritime, Logistics)","Aerospace & Defense","Industrial Equipment & Packaging","Medical Devices"]

Competitors

3YOURMIND; Castor; AMFG

Growth & Milestones

Growth Metrics

Scaled to 10-50 employees before being declared bankrupt in January 2025.

Major Milestones

["Founded in 2015","Secured multi-year contract with NS (Dutch Railways) in 2018","Launched AI-driven 'Supply Chain Inspector' in 2019","Series A funding led by henQ in 2020","Declared bankrupt by the court of Midden-Nederland on January 14, 2025"]

Notable Customers

NS (Dutch Railways); Dutch Ground Forces (Army); JLG; Electrolux; Eurostar

Recent coverage of Dimanex

Why this company matters

Dimanex offered a cloud-based platform that used machine learning to analyze legacy spare parts in a company's ERP system, determining both technical feasibility and economic business case for additive manufacturing. Its proprietary 'Supply Chain Inspector' scored thousands of parts, enabling OEMs and MRO teams to replace physical inventory with a digital warehouse and produce parts on demand through a vetted network of 3D printing service providers.

The platform integrated digital inventory management with distributed production orchestration, covering metal and polymer AM processes. Customers included NS (Dutch Railways), the Dutch Ground Forces, JLG, Electrolux, and Eurostar. Dimanex focused on industries with extensive long-tail spare parts inventories, such as automotive, energy, transportation, aerospace, and industrial equipment.

Dimanex differentiated from competitors like 3YOURMIND, Castor, and AMFG by emphasizing supply chain optimization over print management, using AI to evaluate both technical and economic viability. Key partnerships included Autodesk, SAP, AMC Bridge, Visagio, and Coupa. The company raised $7.5M from henQ, Marisan & Partners, and La Terza SARL, and scaled to 10-50 employees before being declared bankrupt in January 2025.

The bankruptcy raises questions about the viability of standalone spare parts digitization platforms in a market where larger ERP and PLM vendors may embed similar AI capabilities. Dimanex's technology and partnerships demonstrated clear demand, but the company's inability to achieve sustainable unit economics or secure follow-on funding suggests that the path to profitability in this niche remains challenging.