The Tokyo-based warehouse robotics company is raising an extension to its December 2025 Series D, with a 2030 IPO in view and New York on the table if the valuation case becomes strong enough.
Mujin has spent fifteen years building software that makes warehouses move. Its MujinOS platform handles the unglamorous but essential work of factory logistics: filling and stacking boxes, coordinating pallet flows, and managing fleets of robots that would otherwise need constant human supervision. The company is not chasing headlines about humanoid workers or general-purpose AI agents. Instead, it has built around a narrower industrial problem, and that may now be an advantage as manufacturers look for automation that can be deployed without ripping out the equipment they already own.
According to a recent Bloomberg report, co-founder and CEO Issei Takino said Mujin is raising an extension to its December 2025 Series D as it works toward a planned initial public offering by 2030. The earlier close brought in $233 million, including $133 million in equity and $100 million in debt, with NTT Group leading the equity portion and Qatar Investment Authority joining as co-lead. Salesforce Ventures and Mitsubishi HC Capital Realty also participated, while existing backers including Pegasus Tech Ventures and Accenture are expected to take part in the extension.
The IPO question is not only about timing. Mujin is weighing whether a listing in Tokyo or New York would make more sense if its valuation can rise meaningfully from its current level above $1 billion. The article's central number, a potential $3 billion valuation threshold for a New York listing, matters because US public markets have shown deeper appetite for robotics, automation, and industrial AI stories than Japan's market has historically offered. That does not make a NYSE debut automatic. It means Mujin has a clear test: prove enough international revenue, especially in the US, to justify being valued alongside faster-growing automation companies.
The reshoring story helps explain why this is happening now. US manufacturers are still dealing with labor shortages, tariff uncertainty, and pressure to bring more production closer to end markets. Deloitte and the Manufacturing Institute have projected that 2.1 million US manufacturing jobs could go unfilled by 2030, and that shortage changes the automation conversation. For many factories, robots are not a futuristic add-on. They are the only realistic way to expand output without assuming that enough trained workers will appear on schedule.
Mujin's pitch fits that problem neatly. MujinOS is not built around a single robot body. It is an operating layer that can coordinate robot arms, autonomous mobile robots, conveyors, and warehouse systems across a production environment. That is a different proposition from asking a customer to make a big bet on an entirely new humanoid fleet. If a manufacturer can use more of what it already has, the sales argument becomes less about spectacle and more about throughput, uptime, and payback periods.
The competitive backdrop is getting louder by the week. As the Financial Times reported on June 10, Germany's Neura Robotics raised $1.4 billion in a round backed by investors including Nvidia, Amazon, Qualcomm, Bosch, Schaeffler, and Tether, valuing the company at roughly $7 billion. Figure AI has also drawn huge attention after deployments with BMW and a reported valuation far above most industrial robotics peers. Those companies are selling a more visible version of the robotics future, one centered on machines that look closer to human workers. Mujin is making a quieter bet that the intelligence layer matters more than the shape of the machine.
That distinction is important for investors. Humanoid robotics may produce the bigger headlines, but factories tend to buy what works repeatedly under pressure. A narrowly useful system that improves palletizing, picking, and material flow can be more valuable than a more ambitious platform that still needs years of proof across different production environments. Mujin's challenge is to make that practical strength legible to global investors who may be more excited by humanoid demonstrations than warehouse orchestration software.
There is still risk in the timing. Tariff policy has shifted often enough that manufacturers are cautious about committing to multi-year capital spending plans. Automation contracts can take time, and customers may delay even when the long-term case is obvious. That is why the funding extension matters. It gives Mujin more room to expand internationally, deepen US relationships, and enter the IPO window with a stronger revenue base rather than a story built only on market potential.
Watch who joins the second close. If Mujin can bring in more US or European institutional investors alongside its Japanese and Middle Eastern backers, the New York option starts to look less theoretical. In a robotics market crowded with heavily funded humanoid startups, Mujin's operating-software approach may be less flashy, but it is aimed at the part of automation budgets where manufacturers are already spending money.
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