Malaysia Digital Acceleration Grant Programme – Artificial Intelligence

The grant programme supports high-impact projects aligned with the national AI investment strategy, targeting companies with validated AI technologies across the Foundation, Enabling, and Application layers.

Objectives

• Advance
  • encourage and promote strategic, high growth and high impact activities in the digital focus areas in moving up the value-chain and ecosystem
• Accelerate
  • To accelerate business activities that bring significant impact to Malaysia’s Digital Economy in the context of expansion or enhancement of operations via technology adoption and continuous digital innovation
• Thrive
  • To ensure competitive and sustainable growth of the companies and be the testament of Malaysia as digital economic powerhouse

Funding Information

• Incentive Amount: up to 70% of the total cost or up to RM2 Million whichever is lower.

Grant Duration

• The quantum of funding period of up to one (1) year.

Eligibility Criteria

• Eligible company
  • Incorporated in Malaysia under Companies Act 1965 or the Companies Act 2016; and;
  • Minimum issued share capital of at least RM50,000.00.
• In operation for at least one (1) year as of the date of submission.
• The Applicant/Recipient must be Malaysia Digital (MD) or MSC Malaysia status company; Or The Applicant must have an active submitted application for Malaysia Digital (MD) status company at the time of the Grant application.
• The Applicant/Recipient must have AI products and/or services that are segmented into any of these three primary layers:
  • Foundation Layer (Infrastructure & Core Technology)
    • Consists of company(ies) and technology(ies) that provide the core building blocks of AI systems
      • Computer hardware – accelerator chips optimized for model training and inference workloads.
      • Cloud platforms & AI Infrastructure Company – Providing scalable cloud computing resources optimized for AI workloads (training, inference, data storage).
  • Enabling Layer (Model Development & Deployment)
    • Focuses on transforming foundational technology(ies) into deployable, scalable tool(s) and service(s)
      • Foundation Model Development & API Access: Taking large, pre-trained models and making them accessible via APIs for developers to build on top of. This often includes fine-tuning and adapting models for specific use cases.
      • Custom models: Models released as trained weights
  • Application Layer (AI-Enabled Solutions)
    • Includes end-user application(s) or AI-powered solution(s) tailored to specific sector(s) or general consumer(s)
      • Applications: Application that use foundation models as they are or as customized for a specific use case.
      • Consulting & Integration: Companies that help other businesses implement and customize AI solutions.

For more information, visit MDEC.