D-Robotics Raises $400M Series C to Scale Sunrise Chips and Robot Software

D-Robotics, a Chinese robotics technology company, has completed a $400 million Series C funding round. The company said the financing will support its Sunrise chip portfolio and a full-chain software platform for robot development. The round places D-Robotics among a growing group of Chinese firms that pair chip design with robotics and embodied AI.

D-Robotics said its revenue grew several times year over year in the first half of 2026. The company also reported that cumulative shipments of its Sunrise chips surpassed 8 million units. Those figures suggest that its chip products have moved beyond early sampling and into broader commercial use.

D-Robotics said its embodied AI business has entered mass production. The company added that its Sunrise S600 chip was adopted by more than 20 customers within six months of launch. The S600 is part of the Sunrise portfolio that the new funding is meant to support.

The new software platform is designed to cover data collection, model training, simulation, inference and deployment. D-Robotics said it aims to provide a combined hardware and software base for different categories of robots. The platform is intended to address a common bottleneck in robotics: the need to connect data, models, and deployment tools across hardware.

By combining chips and software, D-Robotics is positioning itself to serve robot developers who need both compute and an integrated toolchain. The company said the platform and chip lineup are intended for multiple robot categories, rather than a single form factor.

The funding comes as embodied AI, which refers to artificial intelligence systems that interact with the physical world, attracts increasing attention from investors and robot makers. Mass production of an embodied AI business is a notable milestone because it implies repeatable manufacturing and customer delivery, not just laboratory demonstrations.

The Sunrise chip shipments, at more than 8 million cumulative units, indicate volume production. Adoption of the S600 by more than 20 customers within six months suggests that robot makers are looking for specialized compute for perception, planning, and control.

D-Robotics said the $400 million Series C round will support both hardware and software development. The company's stated goal is to give robot developers a base that spans chips, data, training, simulation, inference, and deployment. If successful, that approach could shorten development cycles for robot companies.

The announcement did not include details about the round's investors or valuation. It also did not specify which robot categories or customers are using the Sunrise chips and software platform. The company's disclosed metrics focus on revenue growth, chip shipments, and customer adoption.

For the robotics industry, the funding highlights a shift toward vertically integrated offerings. Rather than supplying only a chip or only a software layer, D-Robotics is describing a full-stack proposition. The company said the financing will help it scale that proposition.

D-Robotics' revenue growth and shipment figures are the main indicators of its current momentum. The company said revenue in the first half of 2026 grew several times compared with the same period a year earlier. Cumulative Sunrise chip shipments surpassed 8 million units.

The Sunrise S600's adoption by more than 20 customers within six months of launch is another sign of demand. D-Robotics said its embodied AI business has entered mass production, which may help it move from chip supply to broader robot solutions.

The software platform is described as covering the full chain from data collection to deployment. D-Robotics said it wants to provide a shared base for different robot categories. That would allow robot makers to build on common hardware and software components.

The company's Series C funding is intended to accelerate those efforts. D-Robotics said the $400 million will support the Sunrise chip portfolio and the software platform. The company is betting that integrated hardware and software will be key to scaling embodied AI.