Intropy has raised $11 million in seed funding to accelerate development of an AI-native platform that automates spare-parts management, and plans to expand across Europe and North America. The London-based startup aims to replace manual processes and legacy tools with autonomous operational decisions that integrate directly into customers’ ERP systems.
A market still reliant on legacy tools
The spare-parts sector remains largely driven by spreadsheets and periodic reviews despite being critical to automotive, manufacturing, heavy equipment and infrastructure industries. According to the company’s information pack, more than $4 billion in spare parts change hands daily in the automotive sector alone. Supply chains must handle hundreds of thousands of SKUs across multiple systems, while decision-relevant data is scattered across ERPs, warehouse systems, documents and images.
Intropy’s autonomous AI platform
Founded in 2024 by Franziska Kirschner (CEO) and YihKai Teh (CTO), Intropy is building an “AI operating system” that automates inventory management, pricing, demand forecasting and other operational decisions for distributors, manufacturers and recyclers. Unlike tools that only surface recommendations requiring human approval, Intropy’s technology connects directly to client ERPs and issues executable decisions: dynamic stock allocation, pricing adjustments and obsolescence management. The approach replaces periodic planning cycles with continuous, automated optimization.
Traction and customer impact
Since launch, Intropy says it has processed more than $10 billion in spare-parts demand through its clients’ operations. Customers using the platform have reportedly achieved returns on investment greater than 10x, driven by improved inventory utilization, smarter pricing decisions and operational efficiency gains.
Funding, expansion strategy and team
The $11 million round was led by Felix Capital, with participation from Quiet Capital and existing backers General Catalyst and firstminute capital. The funds will be used for product development, hiring engineers and machine-learning specialists, and opening a New York office to strengthen Intropy’s U.S. presence while continuing European expansion.
Franziska Kirschner summed up the company’s ambition: “We are building an AI operating system capable of making and executing decisions autonomously, at scale and at speed.” YihKai Teh adds that the long-term goal is to layer intelligence that handles the complexity of spare-parts ecosystems — compatibility, performance and forecasting — while integrating unobtrusively into existing enterprise workflows. The two founders previously worked together at Tractable, where they developed AI applications for the sector.
