Key Details of the $11M Seed Round

The Company and Founding Team

Intropy was founded in London in 2024 by Franziska Kirschner, a former Oxford physicist, and YihKai Teh, an AI academic, both of whom previously worked at the London AI scaleup Tractable . The company describes its product as an "AI-native operating system" for the spare parts industry .

What the Platform Does

Intropy's AI system plugs directly into customers' enterprise resource planning (ERP) platforms and warehouse management systems, replacing the manual, spreadsheet-driven processes that still dominate spare parts distribution and manufacturing . The platform automates demand prediction, inventory distribution, obsolescence management, and dynamic pricing .

A notable feature: the AI can not only recommend pricing and stocking decisions but also execute them directly in a customer's ERP system without human oversight . The company reports that its technology has already handled more than $10 billion in parts data .

Use of Funds

Intropy plans to use the new capital to accelerate platform development, expand its engineering and machine learning teams, and establish a physical presence in the United States — including a New York office, which would be the company's first US base . The company also aims to scale further across Europe .

Investor Rationale

Felix Capital led the round based on the thesis that the parts and equipment industries are ready for a dedicated AI operating system to modernize their fragmented, low-automation supply chains . As one source put it, the investment is a bet that Intropy can become the central decision-making layer for how industrial parts are sourced, tracked, and managed .

Key Details of the $11M Seed Round

The Company and Founding Team

Intropy was founded in London in 2024 by Franziska Kirschner, a former Oxford physicist, and YihKai Teh, an AI academic, both of whom previously worked at the London AI scaleup Tractable . The company describes its product as an "AI-native operating system" for the spare parts industry .

What the Platform Does

Intropy's AI system plugs directly into customers' enterprise resource planning (ERP) platforms and warehouse management systems, replacing the manual, spreadsheet-driven processes that still dominate spare parts distribution and manufacturing . The platform automates demand prediction, inventory distribution, obsolescence management, and dynamic pricing .

A notable feature: the AI can not only recommend pricing and stocking decisions but also execute them directly in a customer's ERP system without human oversight . The company reports that its technology has already handled more than $10 billion in parts data .

Use of Funds

Intropy plans to use the new capital to accelerate platform development, expand its engineering and machine learning teams, and establish a physical presence in the United States — including a New York office, which would be the company's first US base . The company also aims to scale further across Europe .

Investor Rationale

Felix Capital led the round based on the thesis that the parts and equipment industries are ready for a dedicated AI operating system to modernize their fragmented, low-automation supply chains . As one source put it, the investment is a bet that Intropy can become the central decision-making layer for how industrial parts are sourced, tracked, and managed .