Showcasing edge AI innovation at one of Asia’s biggest tech events
Chinese AI-chip firm Black Sesame Technologies unveiled its latest system-on-chips (SoCs)—Huashan A1000, A2000, and Wudang C1200—at Asia Tech x Singapore (ATxSG). The company also introduced new developer boards and demonstrated how its AI robotics and edge SoCs could transform real-time autonomous systems.
These demonstrations mark a broader shift in Asia’s AI direction. By merging hardware acceleration, real-time LLMs, and scalable platforms, Black Sesame is staking its claim in the edge AI frontier.
Chip innovation meets deployment
Founded in 2016, Black Sesame specializes in edge AI computing and advanced driver-assistance systems (ADAS). Its Huashan and Wudang chip lines are central to building China’s domestic AI semiconductor ecosystem.
The Huashan A1000 and A2000 are built for autonomous vehicles. They feature high-efficiency image processing, sensor fusion, and power-conscious design. In contrast, the Wudang C1200 is tailored for industrial and robotic use cases. It supports 4K imaging, real-time tracking, and on-device LLM inference.
To help developers accelerate time-to-market, Black Sesame launched Linux- and ROS-compatible developer boards. These are designed for fast prototyping in mobility, logistics, and smart city deployments.
Strategic showcase at ATxSG 2025
The firm’s presence at ATxSG 2025, held at Marina Bay Sands, was a highlight of the AI and IoT track. Live demos showcased the chips in autonomous mobile robots (AMRs), last-mile delivery units, and urban surveillance devices.
Importantly, engineers simulated LLM-powered robots navigating noisy city environments. This emphasized the ability of edge SoCs to reduce latency and eliminate cloud reliance—crucial for applications in public safety and urban mobility.
As a result, Black Sesame attracted attention from regional VCs and integrators. Notably, Lightspeed China Partners and Vertex Ventures joined private sessions to discuss partnerships in Southeast Asia.
China’s chip strategy turns regional
Black Sesame’s showcase in Singapore reflects China’s growing focus on Southeast Asia for AI hardware exports. As U.S. controls restrict chip exports, Chinese firms are using regional summits and developer ecosystems to build overseas traction.
For example, the Huashan A2000 delivers up to 256 TOPS of compute and accelerates transformer-based LLMs. This supports edge-based multilingual bots, kiosks, and AI-powered retail applications in ASEAN nations.
Similarly, the Wudang C1200 brings efficient vision capabilities to sectors like agriculture, retail, and logistics. These industries are now receiving direct AI investment from governments in Malaysia, Thailand, and Vietnam.
Together, these platforms support a regional strategy: bring AI closer to users, especially in areas where bandwidth or infrastructure gaps make cloud reliance impractical.
Scaling AI robotics and edge SoCs
Looking ahead, Black Sesame plans to scale its developer support across Southeast Asia. It will expand teams in Singapore and Kuala Lumpur by Q4 2025 to offer localized tools and training.
Moreover, the company is exploring pilots with ride-hailing apps and logistics providers in Vietnam and Indonesia. These sectors are already testing autonomous navigation and robotics in live environments.
This shift also mirrors a wider industry trend. Many startups now seek AI solutions that bypass GPU-heavy, cloud-dependent models. Black Sesame meets this demand with chips that enable privacy-focused, multilingual, and real-time AI inference on-device.
By running large language models directly on edge hardware, the company is making robotics and automation viable in everyday settings—not just in controlled, industrial environments.
Black Sesame powers forward in the AI hardware race
The launch of Huashan and Wudang platforms at ATxSG 2025 cements Black Sesame Technologies’ rising influence in Asia’s AI hardware scene. As demand for responsive, low-latency systems grows, its AI robotics and edge SoCs offer an efficient and scalable solution.
By combining LLM flexibility with edge-native performance, the company is building the foundation for a more decentralized, real-time, and accessible AI future—where robotics enhance not just factories, but daily urban life.
