AI-native platform Intropy has raised $11 million in seed funding to automate inventory, pricing and other critical decision-making processes for spare parts businesses.
The seed round was led by Felix Capital, with participation from Quiet Capital and existing investors General Catalyst and firstminute capital.
Founded in 2024 by Franziska Kirschner and YihKai Teh, Intropy provides AI-powered decision-making tools for spare parts distributors, manufacturers and recyclers. The platform is designed to automate processes that have traditionally relied on spreadsheets, legacy software and extensive manual analysis.
Spare parts play a critical role in keeping vehicles, machinery and infrastructure operational. However, the industry continues to depend heavily on decades-old software and manual processes for key decisions such as determining inventory levels, allocating stock, adjusting prices and identifying obsolete parts.
In the automotive industry alone, more than $4 billion worth of spare parts are estimated to be transacted each day, highlighting the scale of the market.
Intropy aims to address these challenges by applying AI to large and fragmented datasets used across spare parts operations. Information required for decision-making can be distributed across enterprise resource planning (ERP) systems, warehouse platforms, spreadsheets, images, documents and even phone conversations.
The complexity is increasing as spare parts businesses face tariffs, higher fuel and operating costs, uncertain repair volumes and increasingly complex vehicles and machinery.
Intropy’s AI-native platform is designed to bring these disparate sources of information together and automate operational decisions at scale. Its applications include determining how much inventory businesses should hold, where stock should be positioned, when prices should be changed and which parts are at risk of becoming obsolete.
According to co-founder and CEO Franziska Kirschner, the company is developing an AI-native operating system capable of making and executing decisions autonomously, rather than simply providing another analytics dashboard.
The company plans to use the new funding to advance its AI capabilities and expand its platform for businesses operating across the spare parts ecosystem.
The development reflects a broader shift towards AI-native industrial software, in which AI moves beyond reporting and recommendations to automate operational decisions across complex physical supply chains. For spare parts businesses, this could enable faster inventory optimisation, more responsive pricing and improved utilisation of working capital while reducing dependence on manual processes.
