$11M Seed Round Fuels AI That Handles $10 Billion in Spare Parts Demand

AI for spare parts startup Intropy raises $11M

A London startup unlocking smarter decisions for the global spare parts industry just landed $11 million to fuel its American expansion. Intropy, barely two years old, has convinced investors that the dusty, spreadsheet-driven world of parts distributors and manufacturers urgently needs AI.

The seed round was led by Felix Capital, with Quiet Capital joining alongside existing backers General Catalyst and Firstminute Capital. General Catalyst had previously bankrolled the company’s pre-seed phase for an undisclosed sum. Now the firm plans to channel this fresh capital into accelerating product development, growing its team, and planting roots in New York with a dedicated office.

Co-founders YihKai Teh and Franziska Kirschner launched Intropy in 2024 after working as researchers at Tractable, a UK-based AI insurtech. Their new venture targets a massive but overlooked problem: the expensive inefficiency of managing spare parts inventory and pricing through outdated manual processes and legacy software.

Instead of presenting recommendations for human review, the company’s technology embeds decisions directly inside a customer’s existing ERP system. It pulls together scattered structured and unstructured data, then automates pricing and inventory moves in real time. As a result, businesses can shift away from reactive, periodic assessments and toward continuous adjustments that keep pace with shifting market conditions.

The scale of the opportunity stands out. Within the automotive sector alone, more than $4 billion worth of spare parts change hands daily. Intropy reports that its systems have already processed data tied to over $10 billion in spare parts demand since going live.

Teh, who serves as CTO, framed the mission in expansive terms. Every piece of machinery built from multiple components, he noted, will eventually need replacement parts. That holds true for today’s cars, tomorrow’s autonomous fleets, and even robots supporting human life on Mars. The goal, he explained, involves building an intelligence layer that can decipher the immense complexity of compatibility, performance, and timing so that parts businesses consistently make sharper operational calls.

The coming months will test whether this approach can resonate with American industrial buyers as forcefully as it has with European investors.