Jakarta- Crypto trading platform EORMC has officially released its green finance strategy, launching a series of initiatives under the “Sustainable Crypto Finance Program.” This program aims to promote the crypto industry transition toward low-carbon and transparent development through technological innovation, establishing next-generation digital asset infrastructure that meets ESG standards.

As a compliant platform regulated by the U.S. SEC and FinCEN, EORMC has deeply integrated sustainability into its “3.0 Development Phase” strategic plan. The program is built on three core pillars: energy efficiency optimization, carbon footprint tracking, and green computing network development.

For energy efficiency, EORMC will leverage its proprietary AI engine to establish an intelligent energy scheduling system. This system dynamically optimizes global server nodes and computing resources based on real-time energy supply and demand, with an expected overall efficiency improvement of over 30%. The platform will also regularly publish third-party verified energy usage reports to ensure operational transparency and trust.

“Technological innovation must not only improve efficiency but also bear responsibility,” said Granger, Head of Sustainability at EORMC. “We are embedding environmental concepts deeply into product design, making sustainability a foundational element of crypto finance.”

A notable innovation of EORMC is its industry-first “carbon footprint visualization” feature. This allows users to view real-time data on the carbon emissions generated by their trading activities and receive AI-driven recommendations for emission reduction. This tool empowers users to better understand and manage the environmental impact of their investment activities.

In building a green computing network, EORMC plans to establish strategic partnerships with certified clean energy mining farms, gradually integrating green computing power into its global infrastructure. Over the next three years, the platform aims to increase the share of clean energy in its total energy consumption to over 60%.

Additionally, EORMC will launch a green asset section, offering rigorously screened low-carbon crypto assets to users focused on ESG investments. Through its intelligent advisory system, the platform will recommend investment portfolios aligned with sustainability principles, promoting the adoption of green finance within the crypto sector.

“We believe sustainability and technological innovation go hand in hand,” Granger added. “By deeply integrating AI technology with environmental responsibility, we are setting new standards for the industry.”

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.