Startup Name: Excalipoint

Industry: Biotechnology

Region: China

Amount (USD): $68.7 million

The problem it is solving: Treating solid tumours remains a major challenge in oncology, as many existing immunotherapies struggle with limited effectiveness and safety concerns, such as off-target effects. Excalipoint is addressing this by developing advanced T cell engager therapies that improve how immune cells identify and destroy cancer cells. Its platforms incorporate co-stimulation to enhance immune response and masking techniques to reduce unintended side effects, aiming to make cancer treatments more effective and safer.

What the Funds Will Be Spent On: Advancing its T cell engager therapy platforms. Progressing its trispecific therapeutic candidate through clinical trials. Expanding research and development in immunotherapy technologies. Strengthening its pipeline for solid tumour treatments.

Startup Name: SynapX

Industry: Artificial Intelligence

Region: China

Amount (USD): $50 million

The problem it is solving: Most AI systems today are limited to digital environments and struggle to operate effectively in real-world physical settings. There is a major gap between AI that can “understand” information and AI that can execute tasks in dynamic, physical environments. SynapX is addressing this by developing Physical AGI (Artificial General Intelligence)—systems that combine perception, reasoning, and real-world action. Its approach focuses on enabling machines to understand, interact with, and perform tasks in the physical world through integrated models, multimodal data, and continuous learning systems.

What the Funds Will Be Spent On: Developing core technologies and the SYNTH architecture. Building large-scale multimodal data systems for physical AI. Advancing product development for embodied intelligence systems. Hiring top AI researchers, engineers, and technical talent.

Startup Name: ai&

Industry: Artificial Intelligence

Region: Japan

Amount (USD): $50 million

The problem it is solving: Many enterprises face challenges deploying AI due to fragmented infrastructure, reliance on third-party compute providers, high costs, and concerns around data sovereignty and security. Additionally, markets like Japan are underserved in localised AI infrastructure and services. ai& addresses this by building a vertically integrated AI platform that combines data centres, compute infrastructure, and AI models into a single stack. This enables organisations to deploy AI more securely, efficiently, and cost-effectively while maintaining control over their data.

What the Funds Will Be Spent On: Building and expanding AI data centre infrastructure across Japan, the US, and Asia. Developing a vertically integrated AI platform (compute, models, and services). Establishing a state-of-the-art AI lab in Japan. Training localised AI models and supporting AI talent development. Scaling enterprise-ready AI services and infrastructure capacity.