Exclusive: Manufacturing AI startup CADDi valued at $1.2 billion following $114 million Series D funding round

CADDi , a startup that sells AI software to help manufacturers organize and use their engineering and production data, has raised $114 million in a new funding round that values the company at $1.2 billion.

Eight new and existing investors took part in the investment, which is the company’s Series D funding round, the Tokyo- and Chicago-based company said.

Among them are Moore Strategic Ventures, Coreline Ventures, Toyota’s growth-stage fund Woven Capital, Salesforce Ventures, and HR Tech Fund, the corporate venture arm of Japan’s Recruit Holdings.

Existing backers Atomico, Globis Capital Partners, and the JPS Growth funds, managed by a Japan Post Bank subsidiary, also took part in the funding.

The valuation is more than double the $470 million CADDi reported in March 2025.

The new round brings CADDi’s total funding to $234 million, the company said.

Founded in 2017, CADDi’s initial product, called CADDi Drawer, was designed to address a common problem in manufacturing firms: they buy too many similar parts from different suppliers.

The AI-powered product ingested technical drawings and then searched a customer’s own databases for similar or identical parts the customer had previously purchased or already has in inventory.

The software also provided information on the defect rate of those parts, allowing the customer to decide if they wished to use existing stock, repurchase the item from an existing supplier, or try a new supplier.

In the past two years, the company has broadened its product suite, creating what it calls an “AI data platform for manufacturing.” The platform can integrate different data types from across multiple systems that customers use—from CAD files to enterprise resource planning software to HR systems—and structure it for use by both people and AI agents.

CADDi Drawer has been renamed CADDi Explorer and is now joined by CADDi Agent, an AI agent designed to help manufacturing companies make decisions about standardizing parts and perform quality impact assessments, which analyze how a given design change will impact performance and safety.

CADDi has also launched six “workflow” products aimed at specific tasks, designed in part to capture the tacit knowledge of experienced engineers and workers.

For instance, CADDi Design Review flags potential errors in new drawings and CAD models based on past problems with similar parts.

Yushiro Kato, CADDi’s cofounder and CEO, tells Fortune that CADDi uses its own proprietary AI model to analyze product data like drawings and CAD files, and general-purpose large language models for documents and spreadsheets.