CADDi Raises $114 Million Series D at $1.2 Billion Valuation

Originally featured on citybiz.co

Manufacturing companies generate large volumes of engineering, procurement, production and quality data, but much of that information remains fragmented across departments, legacy systems and undigitized records. CADDi has raised $114 million in Series D funding to expand an AI data platform designed to connect that information and make it usable across manufacturing operations.

The financing values Chicago- and Tokyo-based CADDi at $1.2 billion and brings its total funding to $234 million. Eight new and existing investors participated in the round.

New investors include Moore Strategic Ventures, Coreline Ventures, HR Tech Fund, Woven Capital and Salesforce Ventures. Existing backers Atomico, Globis Capital Partners and JPS Growth Investment Limited Partnership also participated.

CADDi plans to invest the capital in proprietary AI and technology development, expansion of its Manufacturing AI Data Platform, global business operations centered on North America, and hiring and employee development.

Founded in 2017 by CEO Yushiro Kato and Aki Kobashi, CADDi initially focused on individual manufacturing workflows but is expanding toward a shared data and intelligence layer spanning the manufacturing lifecycle.

The company’s platform analyzes, structures and connects information that would otherwise sit separately across engineering, sourcing, production and quality functions. CADDi’s approach is based on creating a semantic layer that preserves the relationships and context within manufacturing data so both employees and AI applications can work from the same underlying information.

That addresses a practical limitation in applying general-purpose AI to industrial operations. Manufacturing records can include engineering drawings, specifications, procurement history, production information and quality data with technical relationships that are difficult to interpret without industry-specific context.

“AI only delivers where a data layer and a semantic layer already exist,” Coreline Ventures partner Ken Hara said. He said CADDi has spent four years developing that foundation with manufacturing customers, turning information previously concentrated in individual experience into data that can be used more broadly across an organization.

CADDi introduced its next-generation Manufacturing AI Data Platform in Japan in August 2026 and is now moving into a global product rollout, including a full-scale expansion in the United States.

The platform includes CADDi Explorer, a manufacturing discovery engine that succeeds the company’s CADDi Drawer product. Explorer is designed to help users find and work with manufacturing information distributed across an organization.

CADDi is also introducing CADDi Agent, an AI agent that can analyze manufacturing data, make decisions and take actions using the operating context of an individual company. Six domain-specific Workflow Products are planned across different parts of the manufacturing value chain.

The broader objective is to reduce manual handoffs between functions by allowing workflows to operate against a common data foundation. CADDi sees that infrastructure as increasingly important as manufacturers explore AI agents capable of performing work rather than simply retrieving or summarizing information.

Atomico partner Luca Eisenstecken said CADDi is moving from addressing individual workflows toward providing an intelligence layer across the manufacturing lifecycle. Atomico first invested in the company approximately 18 months ago and returned for the Series D.

CADDi’s U.S. rollout represents a significant part of the expansion strategy supported by the new financing. The company currently serves manufacturers in more than 20 countries, including large publicly traded companies in Japan and the United States.

Kato has framed the company’s longer-term challenge around narrowing the gap between faster digital processes and the comparatively slower physical processes required to manufacture products. His strategy calls for moving more manufacturing activities from sequential workflows toward processes that can operate in parallel, supported by shared data and context.

CADDi’s $114 million Series D gives the company additional capital to pursue that strategy as manufacturers increase their use of AI across engineering and factory operations. Its expansion will center on building the data infrastructure, domain-specific software and AI agents needed to connect decisions across the manufacturing lifecycle while accelerating its commercial presence in North America.