London-based supply chain tech startup Intropy has secured $11m (£8.17m) in seed funding to expand its AI-native platform designed to automate decision-making across the global spare parts industry.
Founded in 2024 by former Oxford physicist Franziska Kirschner and AI academic YihKai Teh, both of whom are alumni of London AI scaleup Tractable, Intropy develops software to replace the manual, spreadsheet-based workflows that dominate spare parts distribution and manufacturing.
By integrating directly into enterprise resource planning (ERP) platforms and warehouse systems, Intropy’s platform aggregates fragmented data to continuously and automatically adjust pricing, balance inventory stock levels, and manage SKU obsolescence without requiring human intervention.
The startup will use the capital injection to accelerate product development, expand its engineering and machine learning teams, and open a new office in New York to support its expansion into the US market.
“The physical economy is sustained not only by what we build, but by our ability to keep it working. Spare parts make that possible, yet many of the industry’s most important decisions still rely on fragmented systems and manual work,” said Kirschner.
“We are not interested in adding another dashboard on top of that complexity. We are building an AI-native operating system that can make and execute decisions autonomously, at scale and speed.
“The future is here, and we are ready to serve an industry that technology has overlooked for far too long.”
The seed financing round was led by London venture capital firm Felix Capital. Quiet Capital participated alongside existing investors General Catalyst and firstminute capital.
“Every product is designed with components, or spare parts, yet the systems managing those parts remain remarkably manual and fragmented.” said Fabian Burnett Small an investor at Felix Capital.
“At Felix, we believe AI will fundamentally transform product design, and how the physical economy operates.
“Intropy is building the intelligence layer that can make supply chains faster, smarter and significantly more efficient – ultimately bringing a better product faster in the hands of the end user.”
