This press release was issued by Sea Limited.
Sea Limited, a global technology company founded in Singapore, today announced the establishment of an Artificial Intelligence Centre of Excellence (AI CoE) in the country, with support from Digital Industry Singapore (DISG), a joint office by Singapore Economic Development Board, Enterprise Singapore, and Infocomm Media Development Authority.
The AI CoE reinforces Sea’s continued commitment to investing in its proprietary technology stack and advances its ambitions towards becoming an AI-native company. Organized around Sea’s technology-first approach to innovation, the AI CoE will support continuous breakthroughs in both the research and business application of AI, as well as contribute towards strategic capability building in the following areas:
- Foundational AI: Advance foundation model development, evaluation frameworks, and internal tooling to stay close to frontier developments in the field.
- Scalable Deployment: Translate R&D advances into production-ready solutions that can be sustainably deployed at-scale to enhance user experience, efficiency, and other measurable business objectives.
- AI-Native Talent and New Operating Models: Nurture a pool of AI-native talent and experiment with new operating models enabled by AI technology.
Over the next three years, the AI CoE is expected to create demand for at least 100 R&D and innovation-centric roles in Singapore, with activities spanning AI research, engineering, and product development. Through disciplined investment into cutting-edge R&D, the AI CoE will also deepen the sophistication and application of Sea’s growing stable of in-house AI models. This includes self-developed foundation models such as Compass Max v3.5, a 245-billion-parameter Large Language Model (LLM) tailored for Southeast Asian languages and e-commerce contexts. Compass Max v3.5 and its variants are already in live use, powering numerous AI features across Shopee’s e-commerce platform – operating with greater responsiveness and at a fraction of the cost of other leading commercially served LLMs.
