HONG KONG, July 28, 2025 /PRNewswire/ -- The Hong Kong Monetary Authority (HKMA) hosted its 2025 Data Summit on Monday, drawing more than 800 representatives from the city's various sectors. HKMA Chief Executive Eddie Yue delivered a keynote address, emphasizing the city's commitment to financial infrastructure innovation.
During the Data Summit, the Shenzhen-Hong Kong Cross-Boundary Data Validation Platform (DVP), co-operated by WeBank Technology Services, was also introduced as the first cross-boundary data verification service connected to the HKMA' s Commercial Data Interchange (CDI). CDl, a key pillar of the HKMA's "Fintech 2025" strategy, aims at enhancing financial inclusion through secure and efficient data sharing.
Cross-boundary data bridge built on blockchain principles
Developed under the guidance of the HKMA, Shenzhen Municipal Cyberspace Administration, the Hong Kong and Macao Affairs Office of Shenzhen Municipal People's Government, Shenzhen Municipal Financial Regulatory Bureau, the Authority of Qianhai Shenzhen-Hong Kong Modern Service Industry Cooperation Zone of Shenzhen, the Shenzhen Branch of the People's Bank of China, and the Shenzhen Regulatory Bureau of National Financial Regulatory Administration, the DVP positions itself as a next-generation cross-boundary data infrastructure. The platform enables trusted validation of personal and corporate data through hash-based verification — without transferring nor storing any original data files. Powered by immutability and traceability features of blockchain technology, the platform supports data portability in compliance with regulatory requirements from both jurisdictions.
The DVP collaborates with authoritative data providers in the Chinese Mainland across various sectors like finance and public services, allowing for verification of documents such as personal and corporate credit reports, bank statements, and enterprise credit information among others. The service is designed to meet growing demands for cross-boundary financial services by residents and enterprises operating between Shenzhen and Hong Kong.
CDI-DVP integration to help streamline access for Hong Kong banks
CDI, launched under the HKMA's Fintech 2025 blueprint, serves as a foundational financial data infrastructure that lowers the cost and complexity of data exchange between banks and commercial data providers. With the integration of DVP, Hong Kong banks can now — via a compliant, secure and efficient channel — improve risk assessment and the overall user experience of cross-boundary financial services.
During the summit, Eddie Yue visited WeBank Technology Services' exhibition booth, where Huiya Yao, Head of Fintech Innovation at WeBank, shared the latest developments of the DVP. To date, the DVP has already served more than 10 business entities and is being used in various scenarios including cross-boundary credit assessment and financing.
Early gains from DVP adoption
At a panel session focused on cross-boundary data validation, representatives from Fusion Bank and ICBC (Asia) shared early outcomes from leveraging the DVP.
Andy Li, Head of Corporate Banking at Fusion Bank, said: "Hong Kong serves as a pivotal gateway connecting the Mainland and international markets, and remains the preferred destination for Mainland enterprises going global. Fusion Bank has been committed to supporting Mainland SMEs in their overseas expansion and has approved over HKD100 million in loans for Hong Kong affiliates of GBA SMEs by leveraging the DVP for cross-boundary verification of credit information. Moving ahead, we will continue to utilize DVP to deliver more convenient financing solutions for Hong Kong affiliates of GBA enterprises, supporting the advancement of financial inclusion in the GBA."
ICBC Asia's Co-Head of Data Management Youping Song revealed plans to leverage the DVP as well to verify customers' Central Bank Individual credit reports and other data types, to enhance credit status assessment work for newly arrived Hong Kong residents from the Chinese Mainland, supporting talent schemes such as the "Top Talent Pass Scheme(TTPS)" and "Quality Migrant Admission Scheme (QMAS)".
Toward a Greater Bay Area data ecosystem
The DVP, officially launched in May 2024, is jointly operated by the China (Qianhai) Internet Exchange (CNIX), Shenzhen Credit Service Co. Ltd and WeBank Technology Services. WeBank provides the overall architecture design and technical support of the platform.
Looking ahead, Huiya Yao shared that the DVP aims to integrate more diverse data sources, deepening data connectivity across the Greater Bay Area.
About WeBank Technology Services
Launched in Hong Kong in June 2024, WeBank Technology Services sets out to leverage WeBank's cutting-edge fintech capabilities and digital finance best practices to deliver a variety of superior digital finance and digital infrastructure solutions to digital banks, financial institutions, government agencies, and industry partners worldwide.
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
WeBank Technology Services Showcases Shenzhen-Hong Kong Cross-Boundary Data Validation Platform at Data Summit 2025
SAN MATEO, Calif., Dec. 13, 2025 /PRNewswire/ -- AI infrastructure company EverMind has recently released EverMemOS, an open-source Memory Operating System designed to address one of artificial intelligence's most profound challenges: equipping machines with scalable, long-term memory.
The Memory Bottleneck
For years, large language models (LLMs) have been constrained by fixed context windows, a limitation that causes "forgetfulness" in long-term tasks. This results in broken context, factual inconsistencies, and an inability to deliver deep personalization or maintain knowledge coherence. The issue extends beyond technical hurdles; it represents an evolutionary bottleneck for AI. An entity without memory cannot exhibit behavioral consistency or initiative, let alone achieve self-evolution. Personalization, consistency, and proactivity, which are considered the hallmarks of intelligence, all depend on a robust memory system.
There is a consensus that memory is becoming the core competitive edge and defining boundary of future AI. Yet existing solutions, such as Retrieval-Augmented Generation (RAG) and fragmented memory systems, remain limited in scope, failing to support both 1-on-1 companion use cases and complex multi-agent enterprise collaboration. Few meet the standard of precision, speed, usability, and adaptability required for widespread adoption. Equipping large models with a high-performance, pluggable memory module remains a core unmet demand across AI applications.
Discoverative Intelligence
"Discoverative Intelligence" is a concept proposed in late 2025 by entrepreneur and philanthropist Chen Tianqiao. Unlike generative AI, which mimics human output by processing existing data, Discoverative Intelligence describes an advanced AI form that actively asks questions, forms testable hypotheses, and discovers new scientific principles. It prioritizes understanding causality and underlying principles over statistical patterns, a shift Chen argues is essential to achieving Artificial General Intelligence (AGI).
Chen contrasted two dominant AI development paths: the "Scaling Path," which relies on expanding parameters, data, and compute power to extrapolate within a search space, and the "Structural Path," which focuses on the "cognitive anatomy" of intelligence and how systems operate over time.
Discoverative Intelligence falls into the latter category, built on a brain-inspired model called Structured Temporal Intelligence (STI) that requires five core capabilities in a closed loop: neural dynamics (sustained, self-organizing activity to keep systems "alive"), long-term memory (storing and selectively forgetting experiences to build knowledge), causal reasoning (inferring "why" events occur), world modeling (an internal simulation of reality for prediction), and metacognition & intrinsic motivation (curiosity-driven exploration, not just external rewards).
Among these capabilities, long-term memory serves as the vital link between time and intelligence, highlighting its indispensable role in the path toward achieving true AGI.
EverMind's Answer
EverMemOS is EverMind's answer to this need: an open-source Memory Operating System designed as foundational technology for Discoverative Intelligence. Inspired by the hierarchical organization of the human memory system, EverMemOS features a four-layer architecture analogous to key brain regions: an Agentic Layer (task planning, mirroring the prefrontal cortex), a Memory Layer (long-term storage, like cortical networks), an Index Layer (associative retrieval, drawing from the hippocampus), and an API/MCP Interface Layer (external integration, serving as AI's "sensory interface").
The system delivers breakthroughs in both scenario coverage and technical performance. It is the first memory system capable of supporting both 1-on-1 conversation use cases and complex multi-agent enterprise collaboration. On technical benchmarks, EverMemOS achieved 92.3% accuracy on LoCoMo (a long-context memory evaluation) and 82% on LongMemEval-S (a suite for assessing long-term memory retention), significantly surpassing prior state-of-the-art results and setting a new industry standard.
The open-source version of EverMemOS is now available on GitHub, with a cloud service version to be launched late this year. The dual-track model, combining open collaboration with managed cloud services, aims to drive industry-wide evolution in long-term memory technology, inviting developers, enterprises, and researchers to contribute to and benefit from the system.
About EverMind
EverMind is redefining the future of AI by solving one of its most fundamental limitations: long-term memory. Its flagship platform, EverMemOS, introduces a breakthrough architecture for scalable and customizable memory systems, enabling AI to operate with extended context, maintain behavioral consistency, and improve through continuous interaction.
To learn more about EverMind and EverMemOS, please visit:
Website: https://evermind.ai/
GitHub: https://github.com/EverMind-AI/EverMemOS
X: https://x.com/EverMindAI
Reddit: https://www.reddit.com/r/EverMindAI/
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
AI Infrastructure Company EverMind Released EverMemOS, Responding to Profound Challenges in AI
