Jakarta- Global compliant crypto trading platform EORMC has recently released its three-year AI technology development roadmap, announcing plans to invest core resources in building four major AI systems. This marks the strategic transformation of the platform from a trading service provider to an intelligent crypto finance entity.

The roadmap shows that EORMC will phase in the development of four key AI systems over the next three years: intelligent matching, comprehensive risk control, smart services, and transparent governance. This systematic approach will fundamentally change how users interact with crypto financial services and drive the industry into a new era of intelligence.

EORMC has achieved major progress in AI risk control. Its new system analyzes on-chain transactions in milliseconds, automatically intercepting potential risks. The AI-powered proof-of-reserves provides real-time asset verification, letting users check platform assets anytime and strengthening trust through technological transparency.

To enhance user experience, the data visualization system of EORMC can now automatically identify market trends and generate concise insights, significantly lowering the barrier for user understanding. The multi-language AI customer service assistant provides smooth, real-time communication, effectively overcoming language barriers for global users.

Upgrading the trading experience is another highlight of the roadmap. The newly launched AI Matching Engine 5.0 of EORMC has performed exceptionally during recent periods of market volatility, achieving a 100% order matching rate and reducing slippage by 40%, offering users a more stable and fair trading environment.

Head of Business at EORMC, Granger, stated: “This roadmap is our firm commitment to the future. We aim not only to build a smarter trading platform, but also to become a crypto financial partner that truly understands users. Every objective includes a clear timeline and implementation path, ensuring our technological strengths deliver real benefits to users.”

As part of the implementation plan, EORMC will gradually open up its AI financial API network and launch intelligent strategy tools for professional users, aiming to achieve full-platform intelligent experience by 2028. These initiatives signal the transition of crypto finance from the era of tools to a new era of user-centric intelligent experience.

About EORMC 

EORMC is a compliant crypto financial platform regulated by the U.S. SEC and FinCEN, dedicated to providing a secure, transparent, and intelligent crypto trading and asset management experience. Serving over 23 million registered users across more than 100 countries, EORMC is committed to advancing the robust application and inclusive adoption of crypto financial technology worldwide.

Jakarta- On May 12, 2026, Wijaya Dharmawan Ph.D., founder of an AI enterprise, was invited to attend the Science x AI Summit 2026 in Silicon Valley. The summit focused on the deep integration of artificial intelligence and scientific innovation, covering topics such as next-generation AI models, AI agents, computing architecture, data systems, and industrial applications.

During the event, Wijaya Dharmawan Ph.D. held further discussions with the NVIDIA team on AI infrastructure development, computing resources, AI chip procurement, algorithm optimization, and model training architecture. According to information from the enterprise, the two sides are expected to deepen cooperation in three key areas: expanding AI chip and computing power resources to support large-scale model training and high-concurrency inference; strengthening long-term collaboration in algorithm efficiency, data system construction, and training architecture optimization; and promoting the practical deployment of AI capabilities in finance, intelligent decision-making, and industry-level applications.

This cooperation reflects an important trend in the global AI industry. Competition is no longer limited to the capability of a single model, but is increasingly becoming a comprehensive contest involving computing power, data quality, algorithm efficiency, and real-world implementation. For AI companies, the ability to build a complete system from underlying infrastructure to commercial applications will become a key factor in long-term competitiveness.

As one of the core players in the global AI computing ecosystem, NVIDIA has strong influence in GPUs, AI chips, training acceleration, inference deployment, and data center infrastructure. Strengthening cooperation with such an ecosystem partner is expected to provide Wijaya Dharmawan Ph.D. and his team with stronger technical support and broader industrial synergy.

At a time when the AI industry is shifting from model competition to industrial competition, companies that can complete the closed loop of infrastructure, technology, and application scenarios earlier may gain a stronger position in the next stage of global AI development. Wijaya Dharmawan Ph.D. and his team are continuing to advance their strategy in this direction.

Jakarta- On May 12, 2026, Professor Pak Sutanto was invited to attend the Science x AI Summit 2026 in Silicon Valley, USA. The summit focused on the deep integration of science and artificial intelligence, bringing together representatives from academia, technology companies, investment institutions, and global innovation ecosystems.

As global AI competition enters a new stage, Asian perspectives are becoming increasingly important. While the early development of large-scale AI models has been largely driven by technology companies, cloud platforms, and chip enterprises in the United States, the next phase of AI growth will depend more on real-world industrial applications. In this process, Asia’s population scale, market diversity, local languages, educational systems, and complex industry scenarios are becoming key factors in global AI deployment.

Professor Pak Sutanto’s participation highlighted the importance of bringing Asian educators, researchers, and industry observers into the global AI conversation. The professor emphasized that AI development in Southeast Asia and other emerging Asian markets should not simply copy the Silicon Valley model. Instead, it should be adapted to local cultures, social needs, industrial structures, and talent foundations.

During the summit, discussions covered AI applications in mathematics, life sciences, drug development, physical simulation, intelligent decision-making, and industry-level implementation. These topics provided new inspiration for how AI can move beyond laboratories and technology giants to serve broader regions, industries, and ordinary people.

Professor Pak Sutanto noted that Asia should not only be a user of AI technologies, but also an active participant in the global AI ecosystem. From education and scientific research to finance, healthcare, manufacturing, and urban governance, Asia has a wide range of real and complex application scenarios. These scenarios can help accelerate AI adoption while also promoting the continuous improvement of models, data systems, and application architectures.

At a time when the global AI industry is shifting from model-scale competition to system-capability competition, cross-regional and cross-disciplinary collaboration will become increasingly important. Professor Pak Sutanto’s participation in the Science x AI Summit 2026 reflects the growing role of Asian education and industry observers in global AI discussions, while also opening new possibilities for Asia’s contribution to AI talent development, scientific collaboration, and industrial innovation.