Partly, creators of the Interpreter AI model for the automotive repair supply chain, has raised $50m (£38m) in Series B funding and announced its launch into the US market. Partly builds frontier AI for parts as core infrastructure for the automotive industry. Interpreter is the result of five years of
Kirstie Pickering
Partly, creators of the Interpreter AI model for the automotive repair supply chain, has raised $50m (£38m) in Series B funding and announced its launch into the US market.
Partly builds frontier AI for parts as core infrastructure for the automotive industry. Interpreter is the result of five years of training on human feedback and synthetic data, more than fifty manufacturer agreements, and continuous training on live data.
With backing from DST Global Partners, Partly now enters the US – the world’s largest auto repair market – with its operation based in Austin, Texas.
The business says the $100bn (£76bn) US collision repair market has, to date, operated without AI-native infrastructure and has for relied on analogue solutions, which contribute to billions of dollars in lost time and revenue each year.
“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,” says Levi Fawcett, CEO and co-founder of Partly.
“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.”
