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Synagie Unveils Geene 2.0 – BytePlus, SingData and FLY Entertainment Among 12 Founding Partners Building Trusted AI Commerce — TradingView News

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July 22, 2026
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Co-developed by leaders across AI, data, media, commerce and blockchain, the Trusted AI Commerce Intelligence Ecosystem gives enterprises a practical way to scale AI with confidence.

SINGAPORE, July 22, 2026 /PRNewswire/ — Synagie, the flagship digital commerce and technology brand of Hong Kong-listed Synagistics Limited (2562), today unveiled Geene 2.0, a Trusted AI Commerce Intelligence Ecosystem (a SaaS platform) designed to help businesses move beyond isolated AI applications towards trusted, scalable business transformation.

While many organisations have adopted AI for content generation, analytics and workflow automation, these capabilities often operate independently, making it difficult to translate intelligence into measurable business outcomes while maintaining governance and accountability.

Geene 2.0 addresses this challenge by bringing together specialised capabilities across data, artificial intelligence, media, commerce and blockchain into a single software-as-a-service platform. Businesses can analyse markets, formulate strategies, generate content, automate operations and verify products through one connected ecosystem.

The platform will be commercially available in early August 2026.

The preview was witnessed by Guest-of-Honour Mr Desmond Tan, Senior Minister of State in the Prime Minister’s Office and Deputy Secretary-General of the National Trades Union Congress (NTUC), alongside more than 200 business leaders, ecosystem partners, customers and invited guests.

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Built by Twelve Industry Leaders

Geene 2.0 was co-developed by twelve founding partners, each contributing deep expertise across data, artificial intelligence, commerce, media and blockchain.

Rather than relying on a single vendor to provide every capability, Geene 2.0 combines best-in-class technologies into one coordinated platform, enabling enterprises to deploy AI faster while reducing implementation complexity.

At the heart of the platform is the ecosystem’s proprietary ASSET intelligence engine, which orchestrates every stage of AI-driven commerce through five interconnected intelligence layers:

ASSET Layer

Business Outcome

Analyse

Transform market, customer and business data into actionable intelligence

Strategise

Recommend AI-driven commercial strategies and business decisions

Storytelling

Generate multilingual marketing, commerce and customer content

Execute

Automate commerce operations, customer engagement and sales workflows

Trust

Verify products, AI actions and business claims through blockchain-backed traceability

Together, these five intelligence layers transform AI from standalone tools into a coordinated business capability spanning insight, execution and trust.

The founding partners are:

BytePlus

China Mobile International

DataCloud

DU-MAS

FLY Entertainment

International Brand Centre

Masverse

Mei Ah Entertainment

SingData

Synagie

Yiwise

Zeneva

A Vision for the Next Generation of AI Commerce

Ms Pei Gy Wong, Chief Digital Officer of Synagie Group Asia and Europe, said:  “The next generation of AI will not be won by the companies with the largest models. It will be led by those who can build the greatest trust.

Businesses do not need more AI tools. They need AI they can trust to make better decisions, execute with confidence and deliver measurable business outcomes.

Geene 2.0 reflects our belief that the future of enterprise AI lies in collaboration. By bringing together industry leaders across data, AI, commerce, media and blockchain, we are giving businesses a practical pathway to adopt AI with confidence and at scale.”

Demonstrating the Enterprise Intelligence Ecosystem in Action

Geene 2.0 has already moved beyond concept into commercial deployment through AGONG Durian, a premium Malaysian durian brand supplied and blockchain-tagged by founding partner DU-MAS.

The implementation demonstrates how AI-powered market intelligence, content creation, commerce automation and blockchain verification can operate together in a real business environment to improve operational efficiency while strengthening consumer confidence.

The same framework can be applied across industries including retail, manufacturing, healthcare, consumer goods and luxury products where authenticity, compliance and trust have become increasingly important.

Accelerating Trusted AI Adoption in Singapore

Technology alone is not enough to accelerate AI adoption. Businesses also need access, practical implementation pathways and a workforce equipped with the right skills.

Synagie’s Geene 2.0 is one example of a digital solution that can help companies address common business challenges such as improving operational efficiency, strengthening decision-making, streamlining workflows and enhancing customer engagement. Companies seeking such solutions may explore implementation through the NTUC Company Training Committee (CTC) initiative. Through the CTC Grant, eligible companies can receive up to 70% funding support for projects that drive business transformation and workforce outcomes, including job redesign, skills development and productivity improvements. Workers could also benefit from wage increase, structured career pathways and/or skills allowance.

Synagie is also collaborating with the Singapore Industrial and Services Employees’ Union to strengthen AI readiness for its workers, including PMEs.

Looking Ahead

As enterprise AI adoption accelerates across Asia, Synagie believes the next phase of innovation will be defined by trusted ecosystems rather than standalone AI applications.

By combining intelligence, execution and accountability in one platform, Geene 2.0 provides businesses with a practical foundation to scale AI confidently while positioning Singapore as a leader in responsible enterprise AI innovation.

SOURCE Synagie

‘ The preceding article may include information circulated by third parties ’

‘ Some details of this article were extracted from the following source www.tradingview.com ’

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