Newsroom & Events

News & events

Where to find CWG Innovations next, on global panels and across the region, and a look back at where we’ve been.

Press releaseSingapore

Edvance and CWG bring RealRelay.ai to Singapore

An agentic AI platform with trust built in.

As published in The Straits Times ↗

The Singapore skyline at dusk, where Edvance and CWG Innovations are bringing RealRelay.ai to market
Edvance and CWG bring RealRelay.ai to market in Singapore, with plans to expand across ASEAN.

Hong Kong-listed Edvance (HKEX: 1410) has signed a three-year agreement with Singapore’s CWG Innovations, pairing more than 20 years of cybersecurity expertise with a platform that lets organisations build AI agents they can trust.

Singapore is moving quickly on AI. Schools, universities and businesses are starting to use AI agents, software that can plan and act on its own, to teach, analyse and handle everyday work. With that comes a harder question. Can these agents be trusted?

In January 2026, the Infocomm Media Development Authority launched a Model AI Governance Framework for Agentic AI, which flags the risk of agents taking unauthorised or erroneous actions once they have access to sensitive data and systems. The Cyber Security Agency of Singapore has also issued guidance on securing agentic AI. For any organisation putting agents to work, security and governance need to be there from the start.

RealRelay.ai has been designed with this in mind. Edvance International Holdings Limited (HKEX: 1410), a Hong Kong-listed cybersecurity group, has signed a three-year strategic cooperation agreement with Singapore-based CWG Innovations Pte. Ltd. to bring RealRelay.ai, a unified agentic AI platform the two companies are developing together, to market. The agreement was entered into through Paradise Matrix Pte. Ltd., Edvance’s wholly-owned subsidiary in Singapore.

A trust layer at the core

At the heart of RealRelay.ai is a trust layer. A built-in security agent tests each AI agent on the platform, and tests it again every time it changes, so organisations can deploy agents with confidence. This is where the two companies meet: the trust layer draws on Edvance’s more than 20 years in cybersecurity, and CWG brings its experience in building and deploying AI across ASEAN.

Around that trust layer, RealRelay.ai gives enterprises and institutions one place to create, govern and deploy AI agents without writing code. More than 300 mainstream AI models sit behind a single interface, each task is matched to an appropriate model, and the platform is designed to run in the cloud, on-premises or fully offline.

What the agreement means for Edvance

Edvance will be responsible for commercialising the platform, drawing on its cybersecurity distribution business and enterprise customer base, with the aim of generating subscription revenue. CWG will operate and manage the platform from Singapore. All intellectual property developed for the platform’s cybersecurity AI agents will belong exclusively to Edvance.

The agreement marks Edvance’s entry into agentic AI and follows through on the strategy it set out earlier this year, to build its own solutions where AI and cybersecurity meet. It is designed to add recurring, subscription-based revenue alongside Edvance’s established business, with the potential to strengthen earnings visibility over time.

Education first, with early results

Education is the first vertical, with planned features including personalised learning and no-code agent building for students and educators. Cybersecurity follows, with tools for security operations centre triage and automated adversary simulation, and fintech has been identified as the next vertical after that.

The platform has already met its first users. At APEX Bootcamp: RealRelay Edition, organised by the Digital Defence Alliance Singapore and co-hosted by CWG on 12 and 13 September 2026, students and young working adults with no technical or AI background built working AI agents in two days. The programme was oversubscribed, and every team delivered a working minimum viable product. Participants said having many models in one place let them focus on the problem, and that security checks ran while they were building.

Edvance’s move into safe, trusted agentic AI comes at an opportune time for Singapore. The government is investing more than S$1 billion in its National AI Research and Development Plan for 2025 to 2030, and from the 2027 academic year all students entering Singapore’s institutes of higher learning will take compulsory modules covering baseline AI competencies. Edvance and CWG will begin in Singapore and plan to expand across ASEAN.

About Edvance International Holdings Limited. Edvance International Holdings Limited (HKEX: 1410) is a Hong Kong-headquartered value-added distributor of cybersecurity products and provider of cybersecurity services, with more than 20 years of experience in the market. Paradise Matrix Pte. Ltd. is Edvance’s wholly-owned subsidiary in Singapore.

About CWG Innovations Pte. Ltd. CWG Innovations Pte. Ltd. is a Singapore company focused on AI solutions development and enterprise AI deployment across ASEAN. CWG is the operator of RealRelay.ai.

Press releaseSingapore

When AI learns to defend itself

Edvance International (1410.HK), CWG Innovations and RealRelay rewrite agent security.

As published in The Straits Times ↗

Teams at APEX Bootcamp: RealRelay Edition in Singapore, building AI agents over two days and presenting them on the Pathway stage
Two days in one room. Teams worked through the build with mentors moving between tables, and every team presented a working agent at the end of day two.

Singapore, 13 September 2026. APEX Bootcamp: RealRelay Edition ran in Singapore on 12 and 13 September 2026, organised by the Digital Defence Alliance Singapore (DDAS) and co-hosted by CWG Innovations, a partner company of Edvance International (1410.HK). It was open to students and young working adults with no prior technical or AI experience. Over two days, teams designed an AI agent and built it on RealRelay.

The programme ran on the same platform a school would use. RealRelay was built for education first, and the two days compressed a cycle that a teacher and a class would normally work through over a term.

Who was in the room, and what they built

The first edition was oversubscribed within days. For this edition, participants were selected against three criteria: they were already serious about AI, they arrived with an idea of their own, and they wanted the two days to build it rather than hear about it.

Mr Aaron Ang, Chief Commercial Officer at CWG, mentored the teams himself and took them through it in stages. By the end of the two days every team had a working Minimum Viable Product (MVP) AI agent.

“Before this I was jumping between four or five different AI tools and spending more time googling which model was supposed to be good for what than actually building. RealRelay put all of it in one place, so I could stop thinking about the tools and start thinking about the problem we were trying to solve. By the end of day two I had an agent that actually did something, and I built it myself.”

Lim Ying Yi Chloe, Year 2 Big Data and Analytics, Temasek Polytechnic

Participants were also impressed by the way RealRelay handles cyber and AI security. Those protections sit inside the platform, so the checks happen while the agent is being built rather than at the end, and that is key to building a good agent.

A team celebrating on the Pathway stage after presenting their working AI agent at APEX Bootcamp: RealRelay Edition
Every team presented a working agent by the end of day two.

One platform, over 300 models

RealRelay is an agentic AI platform that aggregates over 300 mainstream AI models behind a single interface. Its agents are built from functional modules for information retrieval, courseware generation, email processing, business data analysis and team collaboration. Users describe what they need in natural language to create, publish and share custom agents on the platform. RealRelay will also support agent trading, so people can monetise what they build.

RealRelay interface: one platform with over 300 AI models, automatic routing, and live health, cost and context per model
One platform, over 300 models: pick a model, or let the router pick, with live health, cost and context for each.

Built for the classroom, and more

Education is where RealRelay started. The goal was a full ecosystem rather than a standalone tool, so that students across disciplines can develop agentic AI solutions for their own fields. Teaching, collaboration and assessment run as a closed loop entirely on the platform. Lecturers take part in the whole development process, offering guidance and supporting iterations while the work is happening, instead of grading only the finished deliverable.

A dedicated teaching-analytics module sits underneath it. The module analyses classroom recordings and student learning data so teachers can read the state of a class in real time and identify where individual students are weak, which makes differentiated instruction practical rather than aspirational.

All of it runs under the same governance as the rest of the platform. The school controls permissions, security, auditing, retention and access centrally, class by class or department by department.

Education is the first of several verticals. The team is already building out cybersecurity, with fintech to follow, and after that the industries its own market research has flagged as the ones where agentic AI pays off earliest. Each vertical is built the same way: functional modules shaped around how that industry actually works, on the same platform and under the same governance.

Security built into the platform

Conventional AI platforms leave security testing to a separate purchase. A penetration testing vendor, a scanner, a red team and an auditor. That is four suppliers, four data agreements, and findings that arrive weeks after the work.

RealRelay keeps it inside one boundary. Build, test and govern sit on the same platform, with one supplier, data that never leaves, and findings that surface while the agent is running.

Where security sits: procurement with four suppliers versus RealRelay building test and govern inside one boundary
Where security sits: four suppliers and findings weeks later, or one boundary where build, test and govern live together.

Within an organisation’s authorised scope, the security agent conducts a five-stage assessment covering more than 20 vulnerability categories: surface, identity, input, logic and proof. Unlike traditional tools, it carries out practical vulnerability exploitation before it generates a report. Outputs are risk ratings, reproduction evidence and remediation guidance. Once fixes are deployed, automatic re-testing and record keeping close the loop.

RealRelay security agent: a five-stage assessment across more than 20 vulnerability classes, from surface to proof
The security agent: five stages across more than 20 vulnerability classes, covered in one engagement.

The loop re-arms every time an agent changes, which matters because agentic systems change faster than any assessment schedule can follow. The platform runs in cloud, on-premises and air-gapped deployments, and customers can hold their own keys and connect local models, so the engine sits wherever the data is allowed to be.

Because agent development and security validation are completed in a single closed-loop environment, there is no need to integrate multiple systems and vendors, and the coordination and compliance costs that come with them fall away.

Edvance International’s security DNA

Edvance International is a leading cybersecurity solutions distributor in Hong Kong with more than 20 years in the field, and has been applying that experience where artificial intelligence and cybersecurity meet.

Agents at scale create risks that conventional security methods do not cover, across creation, distribution and runtime. Supply chain exposure, data governance, and protection that cannot keep pace with iteration are problems an organisation meets as soon as it starts building agentic AI.

Against that backdrop, together with CWG Innovations, Edvance International has taken years of hands-on attack and defence experience and risk-governance practice and embedded them deep in RealRelay’s underlying architecture. Security protection moves from post-incident remediation to the product-design phase, with threat identification, vulnerability validation and closed-loop remediation running through the whole chain of agent building, testing and governance. Security becomes an innate capability of an AI agent rather than a retrofitted patch.

Event recapOnline · APAC

On CompTIA’s AI-Era Skills panel

CompTIA AI-Era Skills Development webinar, Putting AI to Work in Cybersecurity, with Dr James Stanger (moderator), Aaron Ang of CWG Innovations, and Paul Wan

Aaron Ang joined CompTIA’s AI-Era Skills Development panel, “Putting AI to Work in Cybersecurity,” alongside CompTIA Chief Technology Evangelist Dr. James Stanger and advisor Paul Wan.

It made for a sharp, practical conversation that cut past the hype to the real questions of adopting AI securely: the risks agentic AI introduces, how to move fast without losing control, and the skills teams actually need today. A real privilege to share the virtual stage with a global name like CompTIA, and to represent CWG Innovations on the future of secure, workforce-ready AI.

Event recapHong Kong

Data Centre Asia 2026, Hong Kong

CWG Innovations exhibited at Data Centre Asia 2026 at the Hong Kong Convention & Exhibition Centre, two days bringing together data-centre, AI and cybersecurity leaders from across Asia-Pacific to discuss AI compute upgrades, data compliance, low-carbon computing and the regional AI ecosystem. Event website →

Our Chief Commercial Officer, Aaron Ang, who is also a Non-Executive Director of Edvance International Holdings (HKEX: 1410) and Vice-President of the Digital Defence Alliance Singapore, took part in two sessions at the event.

Aaron Ang at Data Centre Asia 2026 in Hong Kong
Aaron Ang at Data Centre Asia 2026, Hong Kong.
Keynote · 9 July

Unified AI: Converging Frontier Capability, Security and Efficiency

Aaron examined how AI is reshaping the enterprise landscape, from the ever-expanding attack surface to the real cost of tokens and where enterprise AI adoption is heading next. Hear his argument in his own words:

Aaron Ang on unified, secure AI at Data Centre Asia 2026. Video: Hong Kong Commercial Daily.

AI security is a different game

In an interview with the Hong Kong Economic Times, Aaron argued that the security threats enterprises face when adopting AI are fundamentally different from traditional cybersecurity:

  • The barrier to attack has collapsed. Attackers no longer need deep technical knowledge. Anyone who understands how AI works can exploit it, often just by using language or psychology to persuade a model.
  • AI agents open a new attack surface. As companies deploy agents to read documents, organise data and handle email, attackers can embed hidden instructions that only the AI can read. “There’s no need to break through a firewall. The AI will follow the instructions and execute whatever they want.”
  • Guardrails don’t hold for long. Model guardrails are broken quickly, and new vulnerabilities emerge faster than in conventional cybersecurity, which makes dedicated AI security essential.

The answer: Unified AI governance

Aaron’s view is that the future of AI governance lies in consolidating the enterprise “AI stack” into a single management platform, Unified AI, much as cloud computing once unified fragmented infrastructure. That gives organisations full visibility into which models and agents their people use, and whether they are used safely, systematising today’s ungoverned “AI sprawl” before it compounds risk across the business.

Panel

Dialogue: Investment Strategy and Regional Growth in Key Global Markets

Alongside two fellow industry leaders, Aaron analysed AI-infrastructure investment trends and the build-out of regional digital ecosystems across key global markets.

Aaron Ang on the investment and regional growth panel at Data Centre Asia 2026
On the “Investment Strategy and Regional Growth” panel.
On show

RealRelay.ai on the show floor

Data Centre Asia 2026 also spotlighted RealRelay.ai, the unified AI platform from CWG Innovations and our partner Edvance International Holdings (HKEX: 1410), built on a simple principle: one platform to govern every AI model. Highlights shared on stage included access to 300+ global models through a single interface, key and bill; smart routing that matches each task to the right model and cuts AI spend by an average of 40%; and security built in rather than bolted on, with zero-trust masking of sensitive data and no use of your data for model training. Explore RealRelay.ai →

In the press

CWG Innovations’ participation was covered by Hong Kong media (articles in Chinese):

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