Horizon Robotics unit Digua raises $120 million as Didi, Meituan-backed fund bet on China’s embodied-AI infrastructure
Digua Robotics, a unit of Horizon Robotics, raised $120 million in a B1 round on March 16, sharpening investors’ focus on the “picks-and-shovels” layer of China’s robotics boom—chips, developer kits and cloud-to-edge toolchains that can determine which robot makers scale.
The latest round brought in a mix of strategic and financial capital, including Synstellation Capital, Didi and Longzhu Fund, an investment vehicle backed by Meituan Returning investors—including Hillhouse Venture, Temasek-backed Vertex Growth, Linear Capital and others—also increased their stakes, underscoring a market preference for platforms that can be reused across multiple robot form factors rather than single-product bets.
Early read-through for the supply chain is clear: capital is clustering around integrated hardware-software stacks that promise shorter development cycles and lower deployment costs, a key constraint as robot makers move from demos to volume shipments in home, logistics and outdoor use cases.
Capital shifts toward infrastructure to reduce commercialization risk
Digua’s fundraising cadence highlights how quickly embodied-AI infrastructure is becoming an investable category in China. The company raised $100 million in a Series A round in May 2025, then secured “several hundred million dollars” in a Series B round in December 2025, which included Prosperity7, the growth fund backed by Saudi Aramco’s venture arm. The new $120 million B1 round extends that momentum into 2026, widening the strategic roster to include consumer-internet and mobility players.
For investors, the appeal is risk distribution: infrastructure vendors can ride multiple downstream winners—robot vacuum makers, drone brands, quadrupeds and emerging humanoid programs—while keeping unit economics tied to compute content and software adoption rather than a single robot SKU’s sales curve.
Product stacks target edge compute bottlenecks across robot categories
Digua positions itself as a foundational infrastructure provider for robot “intelligent evolution,” centered on its Sunrise-branded computing chips and RDK developer kits. It offers compute tiers spanning 5 to 128 TOPs, targeting use cases from robot vacuums and lawn mowers to logistics AMRs, service companions, quadruped robot dogs and humanoid robots.
That spread matters because robot makers face a shared constraint in 2026: running perception and decision models on-device with tight power and cost budgets. By packaging chips, algorithms and a cloud-to-edge development platform, Digua aims to lower integration friction and standardize deployment—an approach that typically strengthens vendor lock-in and increases lifetime software attach rates.
Partnerships anchor near-term demand and create reference designs
Over the past year, Digua said it worked with major customers to produce reference products in high-volume categories. It cited enabling Narwal’s YunJing Xiaoyao 002 to push “AI binocular perception” in robot vacuums, supporting Insta360’s Antigravity A1 as a panoramic drone product, and collaborating with Vita Dynamics on a companion robot dog.
For the broader ecosystem, these flagship deployments function as validation loops: they help toolchain providers prove latency, reliability and model performance under real-world constraints—evidence that downstream OEMs and system integrators often require before standardizing on a compute platform for the next product cycle.
Full-stack approach raises competitive pressure on rival chip and platform vendors
Digua’s pitch is built on Horizon Robotics’ mass-production-proven BPU architecture and its “foundation model” capabilities, aiming for a cohesive chip-algorithm-software system optimized for robotics workloads. If adoption expands, competitors in China’s edge AI chips and robotics middleware will face pressure to match end-to-end offerings—especially where customers want one vendor accountable from simulation and validation through on-device deployment.
The financing also signals that strategic investors are positioning for distribution and scenario control: mobility and local-services giants can benefit from standardized robotics stacks that later feed into last-mile logistics, service automation and consumer devices—areas where integration speed and unit cost will likely decide winners more than headline model size.
Related Coverage:
Horizon Robotics Challenges Huawei in Battle for China’s Smart Driving Ecosystem
Horizon Robotics Targets Mass Market with ADAS for Budget Vehicles and Unveils New Commercial Model