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    Infocomm Media Development Authority

    Updated

    Enterprise Compute Initiative (ECI)

    Max Support
    Up to S$555,000 total support
    Cap
    S$150,000 consulting cap, companies co-pay 30%

    Overview

    The Enterprise Compute Initiative (ECI) is a government programme launched in Budget 2025 to accelerate AI adoption in Singapore enterprises. The core idea is to provide enterprises access to cloud compute/AI infrastructure (credits, tools, platforms) plus consultancy services to develop proof-of-concept/MVP AI solutions with change management. It is designed to be short-term/catalytic to help jumpstart AI transformation in firms that are already somewhat prepared. The initiative is administered by Digital Industry Singapore (DISG) - a joint office drawing from EDB, IMDA, and EnterpriseSG.

    Support Details

    Support Rate

    70% government support for consulting costs, company co-pays 30% (up to S$45,000 in many cases)

    Cap

    Up to S$555,000 total support envelope combining cloud credits and consultancy

    Support Levels & Internal Caps by Pillar

    Overall Support

    Support Rate: Government supports part of consultancy costs in co-payment model, companies co-pay typically 30% of consulting cost

    Grant Cap per New Market: Each participating enterprise can receive up to S$555,000 in total support (cloud + consulting)

    PillarMax Grantable Amount
    Cloud/Compute Credits & ToolsLarge cloud credit allocations as part of CSP tailored packages
    Consultancy/Implementation/Change ManagementMaximum consulting cost supported capped at S$150,000
    Microsoft Agentic AI AcceleratorUp to S$250,000 in Azure cloud credits + 70% consulting support up to S$105,000
    AWS AI SpringboardUp to S$350,000 baseline cloud credits + up to S$105,000 consulting support

    Note: These are maximum amounts within each pillar for a single new market. Each application must cover only one activity in a single overseas market.

    Project Duration & Scope

    Short-term catalytic programme with fairly tight timelines, often envisaged around 6 months for projects

    Eligibility Criteria

    • Must be a company registered or incorporated in Singapore and physically present
    • Must have at least 10 staff based in Singapore
    • Senior management (CEO-level) sponsorship is expected
    • Should already have a tech/AI/data team of at least 2 staff (software engineers, AI/data roles)
    • Should have prior experience in building custom AI solution (proof-of-concept/pilot) or similar deployment
    • Must have accessible datasets to work with (data available)
    • Must have capacity (resources, funding, equity) to see through the project
    • Expected to deliver a Minimum Viable Product (MVP) plus change management outcome within programme period

    Application Process

    1

    Partnership with CSP and consultant partner assignment - pick participating Cloud Service Provider (Microsoft, AWS)

    2

    CSP nominates/connects firm with consultant partners/SIs familiar with their platform

    3

    Proposal/use case submission with AI use cases, data readiness, roadmap, expected outcomes/MVP plan

    4

    Use case assessment for impact, readiness, technical feasibility

    5

    Onboarding and kickoff - receive cloud credits, access to tools, consultancy support on approval

    6

    Implementation/MVP building and testing - work with consultant partners to build MVP, iterate, test, integrate

    7

    Plan for operational embedding/scaling beyond MVP phase

    8

    Delivery and outcome/wrap-up - deliver MVP, validate change management/adoption, demonstrate business value

    9

    Performance/outcome reports may be required

    10

    Post-ECI support/next steps - further discussions with DISG/agencies about continuing AI/compute support

    Processing Time

    Application processing: 6-8 weeks for approval, Implementation: Around 6 months for project completion

    Project Duration & Completion

    Short-term catalytic programme with fairly tight timelines, often envisaged around 6 months for projects

    Best Practices for a Successful Application

    Ensure baseline readiness - ECI isn't for organisations starting from zero, need existing tech/data capability

    Pick use cases strategically - aim for clear ROI or measurable value (cost savings, revenue uplift, automation)

    Data readiness is critical - ensure data is clean, accessible, sufficiently large/relevant with proper permissions

    Choose consultant partners with domain + AI experience - their guidance greatly affects success

    Ensure leadership buy-in and alignment - projects with insufficient top-level support tend to stall

    Plan for sustainability beyond MVP - think about scaling, operations/maintenance after ECI ends

    Allocate resources internally - don't treat consultant as doing everything, internal team must be engaged

    Be mindful of co-payment obligations and cost control - keep consultant cost within budget

    Track progress and metrics carefully - define KPIs, monitor, course-correct

    Apply early/quickly - since ECI is new and likely competitive, timely submission with polished use case helps

    Leverage CSP packages and accelerators - Microsoft's Agentic AI Accelerator or AWS's AI Springboard provide bundled support

    Sample Use Cases & Scenarios

    Building custom AI solutions with clear ROI or measurable value (cost savings, revenue uplift, automation)
    AI pilots with accessible, clean datasets and proper permissions/infrastructure
    MVP development with change management and operational integration
    Microsoft Agentic AI Accelerator: up to 300 Singapore enterprises with S$250,000 Azure credits
    AWS AI Springboard: up to 300 firms with S$350,000 baseline cloud credits plus additional credits

    Additional Information

    Recent Developments and CSP Programmes: Microsoft Agentic AI Accelerator (part of ECI): • Participating companies receive up to S$250,000 in Azure cloud credits + AI tools/training • Government supports up to 70% of consulting costs, capped at S$105,000 per enterprise • Target: up to 300 Singapore enterprises AWS AI Springboard (part of ECI): • Eligible companies get up to S$350,000 baseline in cloud credits + additional cloud credits via other AWS programs • Government support of up to S$105,000 for consulting costs • Target: up to 300 firms Evaluation Criteria: Evaluation based on use case impact, organisation readiness, infrastructure readiness, and roadmap viability - not just meeting basic eligibility requirements. Short-term Catalytic Design: ECI is designed as short-term catalytic programme to help jumpstart AI transformation. Timeline typically around 6 months with focus on delivering MVP and change management outcomes. Key Support Components: • Cloud/compute credits and tools: Access to CSPs' cloud infrastructure, AI/compute resources, platform tools • Consultancy/implementation: Support for consultant partners to help plan AI roadmap, build MVP, do change management • Total support envelope: Combined support (cloud credits + consultancy) up to S$555,000 per enterprise • Co-payment model: Enterprises expected to co-pay portion of consultancy costs (typically 30%)

    Contact Information

    Official Website
    Email: [email protected]
    Phone: +65 6211 0888

    Frequently Asked Questions

    Where Volty fits

    For businesses that answer customers on WhatsApp

    Volty is Voltade's WhatsApp AI agent builder. A business trains its own agent on its SOPs, products and brand voice, and the agent answers enquiries on the business's own WhatsApp number, then takes the booking, logs the order or updates the record in the tools the business already runs. Volty starts at S$199 a month on the Plus plan, with unlimited seats. Volty is sold under Voltade AI Solutions, a PSG Pre-Approved Solution, so eligible Singapore SMEs can receive up to 50% PSG support on it. Talk to Volty to start a 7-day trial: Volty interviews your team and drafts its own instructions, and you read them before anything is live.

    Talk to Volty