Exabytes launches GROW AI strategy for business AI adoption

The Malaysian technology company launches GROW AI to help businesses move beyond AI pilots, with a goal of reaching one million businesses by 2030.

Exabytes has launched GROW AI, a new artificial intelligence strategy for businesses adopting and implementing AI.

The Malaysian technology company introduced the strategy at the Exabytes GROW AI Summit 2026 in Kuala Lumpur. GROW AI extends the company's existing GROW Digital program as Exabytes expands its focus from digital adoption to AI implementation.

Chan Kee Siak, founder and CEO of Exabytes Group, pointed to the company's own use of AI as an example of the strategy in practice. He said Eve, Exabytes' AI agent and avatar, now handles more than 80% of its Level 1 workload, including sales, support, and product inquiries.

"She joined Exabytes two years ago, and today, she can handle more than 80% of our Level 1 workload, including sales, support, product inquiries, and many other tasks," Chan said.

Exabytes said GROW AI is based on four principles: Reliable, Accessible, Scalable, and AI-driven, or RASA. The company has set a goal of supporting one million businesses in adopting AI by 2030.

The launch comes as Malaysia works toward its AI Nation 2030 agenda. A 2025 Ecosystm study developed with Red Hat and supported by the National AI Office found that many smaller businesses remained at an early stage of AI adoption.

The study, which surveyed 133 Malaysian SMEs, found that 21% had progressed beyond AI pilot projects. Around 60% cited a lack of in-house technical expertise as a major obstacle to adoption.

"Businesses understand that AI will affect how they compete, but many are still uncertain about where to begin and how to implement it securely," Chan said.

Chan also identified data readiness as another obstacle for organizations moving beyond AI experimentation. He said some organizations have the budget to deploy AI but first need to organize and prepare data held across different systems.

"Many organizations want to implement AI and may even have the budget to do so, but one of their biggest challenges is that their data is not ready," Chan said.

From AI adoption to infrastructure

The summit brought together more than 500 business owners, executives, technology leaders, solution providers, and public-sector representatives, according to Exabytes. Sessions focused on practical AI implementation and the technical requirements involved in expanding deployments.

Speakers and participants included representatives from Amazon Web Services, Lark, Aurora Mobile, Moka AI, Sangfor, EasyParcel, Aegis Cloud, AITraining2U, and Forward College.

Discussions covered cloud infrastructure, cybersecurity, workplace applications, commerce, workforce development, customer engagement, and data protection. Other sessions examined the use of AI in human resources and organizational effectiveness.

Chan also used the keynote to outline the infrastructure Exabytes is making available for different AI workloads. He announced that the company's high-performance computing and AI colocation facility in Penang is now operational.

The facility is located within Penang's high-tech and semiconductor industrial area and is designed to support high-density computing workloads, including GPU-based systems.

"I am also pleased to announce that our HPC and AI colocation facility is now available," Chan said.

Other options outlined during the keynote included hosted Mac mini systems, DGX Spark, Exabytes Vision Cloud, dedicated RTX PRO 6000-class GPU infrastructure, and managed AWS-based AI services.

Chan said these options can support workloads ranging from hosted AI agents and smaller models to dedicated GPU computing and model training.

Aurora Mobile partnership targets enterprise AI deployments

Exabytes also signed a three-year memorandum of understanding with Aurora Mobile, a Nasdaq-listed company that operates the GPTBots.ai enterprise AI platform.

The agreement was signed by Chan and Aurora Mobile founder and CEO Chris Lo. The companies plan to develop AI applications for businesses in Southeast Asia by combining Exabytes' infrastructure and managed services with Aurora Mobile's enterprise AI technology.

Proposed applications include customer service, sales, marketing, and knowledge assistants for SMEs. Larger deployments are expected to cover AI agents, service desks, workflow automation, private AI environments, and hybrid AI infrastructure for enterprises and public-sector organizations.

The collaboration will also include proof-of-concept projects with customers, managed AI services, and internal AI deployments within Exabytes. The company said internal applications that can be used more broadly could later be developed into repeatable implementations for customers.

Lo said organizations implementing AI across multiple functions need to connect the technology with internal knowledge, workflows, employees, and operational systems while addressing governance and security requirements.

"Enterprise AI transformation requires more than deploying a standalone chatbot or application," Lo said.

The three-year agreement also covers regional ecosystem programs and joint AI development initiatives.

Exabytes deputy CEO Eric Foo said organizations can begin with a specific operational problem rather than introducing AI across every business function at once.

"Businesses do not need to transform every function at once. They can begin with one clearly defined operational challenge and expand their AI adoption as their capabilities and requirements develop," Foo said.

He also identified measurement as a challenge when AI use remains concentrated among individual employees rather than being deployed at the company level.

"The challenge is how to move the AI adoption from individual level, which is hard to measure the ROI, and elevate them to the company level with measurable financial metrics," Foo said.