Partly Raises $50M in Series B Funding at a $500M Valuation

The company plans to use the funding to expand its presence in the United States, grow its operations in the Austin area, and hire across engineering, business development, and product management teams.

Partly’s Interpreter model is a foundation model built specifically for automotive parts and is the only one of its kind. It has been developed over five years using human feedback, synthetic data, more than 50 manufacturer agreements, and ongoing training on live data.

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Backed by DST Global Partners, an investor in companies such as Anthropic, Meta, Alibaba, Airbnb, and Spotify, Partly is now entering the U.S. auto repair market. The U.S. collision repair industry is worth over $100 billion and has historically relied on manual, non-AI systems, leading to significant time and revenue losses each year.

Partly has established its U.S. operations in Austin, Texas. To support growth and serve the approximately 250,000 repairers in the U.S., the company plans to expand its presence in the region.

The core executive team, including CEO and co-founder Levi Fawcett, has relocated to Austin. Partly is also hiring across engineering, business development, and product management, with roles listed on its careers page at partly.com/careers.

"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," said 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."

About Partly

Partly is building advanced AI designed specifically for automotive parts as core infrastructure for the industry. The company combines deep automotive expertise with top AI talent from organizations like Rocket Lab, Google, and Apple. It has invested millions of dollars to develop AI systems built for complex parts data, logistics, and workflows.

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