Intropy Announces $11 Million in Funding to Build the AI-Native Operating System for the Spare Parts Supply Chain

Intropy, the AI-native platform automating inventory, led by Franziska Kirschner and YihKai Teh, has announced that it has raised $11 million in seed financing. The seed round was led by Felix Capital, with participation from Quiet Capital and early investors General Catalyst and firstminute capital.

Applying AI to Spare Parts Operations.

Founded in 2024 by Franziska Kirschner and YihKai Teh, Intropy is developing AI-powered tools to help spare parts distributors, manufacturers, and recyclers improve profitability and operational efficiency.

The platform replaces manual processes and legacy systems traditionally used for inventory and decision-making workflows, enabling companies to make faster, data-driven operational decisions.

Modernizing the Spare Parts Industry with AI.

The spare parts industry plays a critical role in keeping vehicles, machinery, and infrastructure operating, yet many businesses continue to rely on outdated software and manual processes for key decisions.

Companies often manage large inventories across thousands of stock-keeping units (SKUs), requiring teams to manually determine inventory levels, pricing strategies, and product lifecycle decisions.

These challenges are becoming more complex as businesses navigate rising costs, supply chain uncertainty, tariffs, and increasingly sophisticated equipment. With operational data spread across ERP systems, warehouse platforms, spreadsheets, documents, and other sources, companies are looking for more efficient ways to make data-driven decisions.

Building an AI Operating System for Industrial Decisions.

Intropy is developing an AI-native platform designed to help spare parts businesses move beyond fragmented systems and manual decision-making processes.

The company aims to provide an intelligent operating layer that can analyze complex operational data, make recommendations, and automate decisions across areas such as inventory management, pricing, and supply chain operations.

By applying AI to an industry that has historically relied on legacy tools, Intropy is targeting a sector where improved decision-making can have a significant impact on efficiency and profitability.

Intropy is developing an AI-native operating system designed to help spare parts businesses automate complex operational decisions across fragmented systems. The company is focused on replacing manual workflows and disconnected tools with AI-driven decision-making capabilities that can analyze data, execute processes, and improve efficiency at scale. According to co-founder and CEO Franziska Kirschner, the platform aims to address a long-standing technology gap in the spare parts industry by bringing modern AI capabilities to a sector that continues to rely heavily on legacy systems and manual processes.

Automating Industrial Decisions with AI.

Intropy's platform combines structured and unstructured data from across business systems to automate operational decisions directly within existing ERP workflows.

Rather than providing recommendations for manual review, the technology enables continuous adjustments to areas such as inventory levels, pricing, and obsolete stock management, helping businesses move from reactive processes to proactive decision-making.

Since launch, Intropy has processed more than $10 billion in parts demand data. The company reports that customers using its platform have achieved measurable efficiency gains, including returns on investment exceeding 10x.

Intropy is developing an intelligence layer for the spare parts industry designed to help businesses manage the complexity of modern supply chains and equipment ecosystems. The platform aims to understand factors such as part compatibility, performance, and demand patterns, enabling companies to make more accurate decisions around inventory and operations. According to co-founder and CTO YihKai Teh, the company's vision is to make spare parts management increasingly automated, allowing AI-driven systems to handle complex decisions in the background while reducing operational friction for businesses.

The funding will support Intropy's product development efforts, including expansion of its engineering and machine learning teams.

The company also plans to establish a New York office as part of its broader growth strategy in the United States while continuing to expand its presence across Europe.

Investor Confidence in AI-Powered Industrial Intelligence.

Felix Capital highlighted the opportunity to apply AI to the physical economy, where many supply chain and spare parts processes continue to rely on fragmented systems and manual workflows.

The firm believes Intropy's technology could help create a more intelligent layer for industrial operations by improving supply chain efficiency, accelerating decision-making, and enabling businesses to deliver products more effectively.

Felix Capital cited the technical expertise, industry knowledge, and ambition of Intropy's founding team as key reasons behind its investment and support for the company's vision.

Building More Sustainable Industrial Supply Chains.

Intropy's vision extends beyond operational efficiency and financial performance. By improving spare parts management, the company aims to help businesses repair and maintain vehicles and machinery more effectively, extend asset lifecycles, and reduce unnecessary waste from obsolete inventory.

The company believes smarter spare parts operations can support a more sustainable physical economy by keeping more components in circulation and improving the longevity of existing assets.

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