Partly, a creator of the Interpreter AI foundation model for the automotive repair supply chain, has raised £40 million in a Series B round led by DST Global Partners. The raise accompanies Partly's launch into the US market, where the company is positioning itself as the leading AI infrastructure provider for the automotive repair sector.
The Interpreter model is described as the world's only foundation model purpose-built for automotive parts. Developed over five years, it has been trained on human feedback and synthetic data, underpinned by more than fifty manufacturer agreements, and continues to be trained on live data. The model has been built to address the complexity of automotive parts systems that general-purpose AI models have not been able to solve.
Partly has anchored its US operations in Austin, Texas, targeting a domestic collision repair market valued at over $100 billion. That market has, to date, operated without AI-native infrastructure and has relied on analogue solutions, which Partly states contribute to billions of dollars in lost time and revenue each year. The US is home to approximately 250,000 repairers.
To support its US expansion, Partly has relocated its core executive team to Austin, including CEO and Co-founder Levi Fawcett, and is actively recruiting for engineering, business development, and product management roles.
Not since the creation of the assembly line or EVs has the auto industry experienced significant innovation that simultaneously improves operational efficiency, industry profitability, and consumer value. We have spent five years building the AI infrastructure layer that the industry has been missing. The model architecture is extremely nuanced, there's a reason general models don't solve it, and why we've been able to own the frontier AI here.
