Source: Fortune
Summary
CADDi, a Japanese AI startup, raised $114 million in a Series D funding round, valuing the company at $1.2 billion, according to the company. The round included new and existing investors, including Toyota’s Woven Capital and Japan’s Recruit Holdings. The valuation more than doubled the $470 million reported in March 2025. CADDi’s AI platform helps manufacturers organize engineering and production data, with products like CADDi Explorer and CADDi Agent. The company now has 900 employees and operates in 22 countries, with a focus on North America.
Our Reading
The numbers tell one story.
CADDi’s valuation jumps to $1.2 billion after a $114 million round.
New and existing investors include Toyota and Recruit.
The company’s AI platform aims to speed up manufacturing by capturing engineer knowledge.
It’s all about accelerating physical innovation, even as AI advances rapidly.
Author: Evan Null
CADDi’s Valuation Soars
CADDi, a Japanese AI startup, has seen its valuation more than double in just over a year, jumping from $470 million in March 2025 to $1.2 billion in 2026. This growth comes after a $114 million Series D funding round, which included participation from both new and existing investors.
The company’s latest funding round brings its total raised capital to $234 million, showing continued investor confidence in its AI-driven solutions for manufacturing.
Founded in 2017, CADDi has evolved from a single product, CADDi Drawer, to a broader AI data platform that integrates various data types across manufacturing systems.
The company’s CEO, Yushiro Kato, emphasized the importance of capturing tacit knowledge from experienced engineers, which is often lost in traditional workflows.
CADDi’s focus on measurable returns, such as reducing material costs and engineering lead times, aligns with the needs of automakers and other manufacturers competing globally.
Expanding Product Suite and Global Reach
CADDi has expanded its product suite, including the launch of six “workflow” products designed to capture the knowledge of experienced engineers and workers. These tools help identify potential errors in new designs and streamline manufacturing processes.
The company has also introduced CADDi Agent, an AI agent that assists with decision-making around standardizing parts and performing quality impact assessments.
CADDi’s global expansion is centered on North America, with the U.S. being a core focus. The company now operates in 22 countries, including Japan, where more than half of the country’s 100 largest manufacturers use its platform.
The company’s headcount has grown to 900 employees, up from 600 in early 2025, reflecting its rapid scaling and growth strategy.
CADDi’s CEO, Yushiro Kato, has emphasized the need for change management and hands-on support to help customers adopt its AI solutions effectively.
Challenges in Adoption and Implementation
CADDi faces challenges in adoption, as many manufacturing firms are resistant to changing long-standing workflows. The company has addressed this by employing over 100 customer success staff, who provide hands-on support to ensure successful implementation.
Like many AI companies, CADDi has also started hiring “forward deployed engineers” to assist customers in using AI tools effectively. This approach aims to create real business impact and drive organizational change.
Kato has highlighted the importance of aligning AI capabilities with physical processes, as the real-world application of AI in manufacturing still lags behind its theoretical potential.
Despite these challenges, CADDi continues to grow, with sales more than doubling year over year and a strong focus on global expansion.
The company’s long-term goal is to accelerate physical innovation tenfold by 2035, aiming to reduce the time it takes to develop a car from four years to just four to five months.
CEO’s Vision for the Future
CADDi’s CEO, Yushiro Kato, has outlined a vision for the future that centers on accelerating physical innovation through AI. He believes that even with AI’s rapid advancements, the physical world has not kept pace, creating a bottleneck in manufacturing processes.
Kato’s goal is to reduce the time it takes to develop a car from four years to four to five months by 2035. This would require running more design review cycles in parallel and catching problems earlier in the process.
To achieve this, CADDi aims to pool the knowledge of experienced engineers into a “superhuman” system that can help identify and resolve issues before they become costly mistakes.
The company’s approach is to capture and codify the tacit knowledge that often resides in the minds of veteran engineers, making it accessible to both people and AI agents.
Kato has emphasized that the key to success lies in changing the organization and creating real business impact through the effective use of AI in manufacturing.
Market Position and Competitive Landscape
CADDi operates in a competitive market where AI is increasingly being used to optimize manufacturing processes. Its focus on capturing and structuring engineering data sets it apart from other AI startups in the space.
The company’s ability to integrate data from multiple systems, including CAD files, ERP software, and HR systems, gives it a unique advantage in helping manufacturers streamline their operations.
CADDi’s emphasis on measurable returns, such as lower material costs and shorter engineering lead times, aligns with the needs of automakers and other manufacturers facing intense global competition.
With a growing presence in 22 countries and a strong focus on North America, CADDi is positioning itself as a key player in the AI manufacturing space.
The company’s continued investment in product development, AI model building, and global expansion suggests a long-term strategy to maintain its competitive edge in the industry.
