CADDi, which sells AI tools to help manufacturers organize engineering and production data, raised a $114M Series D at a $1.2B valuation, up from $470M in 2025

The AI tools for manufacturers that organize and leverage engineering and production data have just become significantly more accessible through new capabilities.

CADDi, a startup specializing in AI tools for manufacturing data organization, has secured $114 million in Series D funding, achieving a valuation of $1.2 billion. This valuation represents a more than twofold increase from its March 2025 valuation of $470 million. The funding round, which included investors like Moore Strategic Ventures, Coreline Ventures, Woven Capital (Toyota's growth-stage fund), and HR Tech Fund, brings CADDi's total funding to $234 million since its founding in 2017. Initially focused on CADDi Drawer to identify and manage duplicate parts, the company has expanded its offerings to an AI data platform for manufacturing. This platform integrates various data types from CAD files to ERP and HR systems. New products include CADDi Explorer, CADDi Agent for decision support, and six workflow products to capture tacit engineering knowledge. CADDi plans to use the new capital to enhance its product suite, develop AI models for manufacturing-specific data like 3D CAD, expand globally with a focus on North America, and grow its headcount, which has reached approximately 900 employees.

CADDi's success signals a growing market demand for AI solutions that bridge the gap between digital design and physical production, particularly in manufacturing where process optimization is critical for competitiveness. The company's expansion into an integrated "AI data platform" with products like CADDi Agent and workflow solutions indicates a move towards holistic operational intelligence, aiming to capture and codify the often-unwritten knowledge of experienced engineers. This strategy addresses a key bottleneck in accelerating physical innovation, suggesting that AI's true impact in sectors like automotive will be realized by streamlining complex, lengthy design-to-delivery cycles.

The substantial valuation and investor confidence underscore the potential for AI to fundamentally transform traditional manufacturing workflows, moving beyond simple data management to intelligent decision-making and design validation. CADDi's emphasis on customer success and forward-deployed engineers highlights the importance of change management and hands-on support in driving AI adoption within established industries. As CADDi aims to tenfold accelerate physical innovation by 2035, its approach could set a precedent for how other AI companies tackle the inertia of the physical world, making complex engineering tasks faster and more efficient.