Skip to main content
    Back to SME Grants
    AI Singapore

    Updated

    AI Singapore – 100E (100 Experiments)

    Max Support
    Co-funding up to S$150,000
    Cap
    S$150,000 per project

    Overview

    100 Experiments (100E) is AI Singapore's flagship initiative to drive AI adoption in industry by co-creating AI solutions with companies. The goal is to allow organisations to transform real-world business problems into AI solutions (proofs of concept or production-ready models) while building internal capability. AI Singapore provides in-house AI engineering teams, AI Apprentices (from the AI Apprenticeship Programme, AIAP®), and access to infrastructure, as part of collaborative projects.

    Support Details

    Support Rate

    AI Singapore provides co-funding support (grants part of the cost) with organisation matching via in-kind and cash contributions

    Cap

    Up to S$150,000 per project with matching contributions required from organisation

    Project Duration & Scope

    6 months for MVP path or 3 months for PoC variant, structured in phases: assessment/scoping → development → handover/knowledge transfer

    Eligibility Criteria

    • Organisations must propose a real business challenge (not a generic problem) where no off-the-shelf AI solution fully meets the need
    • Data readiness is evaluated (quality, volume, access) - projects with poor datasets may be rejected or downgraded
    • Must provide in-kind contributions (staff time, domain experts) and potentially cash contributions as part of project cost matching
    • Projects undergo multi-stage assessment including technical feasibility, business impact, AI governance compliance
    • Strong emphasis on AI governance/responsible AI, data ethics, model explainability, oversight
    • 100E adheres to the Model AI Governance Framework
    • Alignment with corporate/national priorities required

    Supported Categories

    100E (3-month POC): Shortened, intensive path to validate an AI concept quickly with same methodology and team support
    100E (6-month MVP/standard): More time to build, refine, and deliver a production-ready AI solution with greater depth and integration

    Application Process

    1

    Scoping and assessment - consult with AI Singapore to assess AI readiness via AIRI or internal scoping

    2

    Define business use case, problem statement, data readiness

    3

    Develop baseline/initial model or prototype to test viability

    4

    Submit technical proposal with resource plan, milestones, team roles, KPIs

    5

    Undergo AI Singapore's evaluation (engineering, governance, business impact)

    6

    Implementation and development with agile sprint cycles

    7

    Iterate models, refine features, integrate with systems with frequent stakeholder check-ins

    8

    Handover and deployment - deliver AI solution into your systems

    9

    Knowledge transfer with documentation and training of internal engineers

    10

    Post-deployment monitoring and fine-tuning

    Processing Time

    Quarterly project intakes, 3-6 month project duration depending on variant selected

    Project Duration & Completion

    6 months for MVP path or 3 months for PoC variant, structured in phases: assessment/scoping → development → handover/knowledge transfer

    Best Practices for a Successful Application

    Ensure data readiness - sufficient, high-quality, structured data is critical for model performance

    Set realistic scope - avoid trying to do too much in the timeframe to prevent incomplete or fragile solutions

    Engage internal team actively - ensure your staff absorbs knowledge for post-project maintainability

    Plan for post-deployment sustainability - consider scaling, maintenance, integration, versioning, monitoring resources

    Understand IP/ownership arrangements - rights may be shared or contested depending on cash/in-kind contribution split

    Implement governance from start - ensure responsible AI design and auditing according to standards

    Prepare strong proposal - selection is competitive, so case and plan must be comprehensive

    Address bias and compliance risks - AI systems must meet responsible AI standards

    Focus on real business problems - avoid generic challenges that have existing off-the-shelf solutions

    Commit to knowledge transfer - maximise learning opportunity for internal capability building

    Sample Use Cases & Scenarios

    Sompo Holdings: Built AI solution for fraudulent claims detection, improving detection rates and automating lower-risk claims
    IBM: Used 100E to classify product quality/defect risk via AI models, reducing human review time from a week to an hour
    EM2AI (healthcare): Developed AI for automated dental charting using imaging, deployed to clinics
    Insurance fraud detection systems
    Medical analysis and diagnostic tools
    Logistics routing optimisation
    Real-world business problem transformation into AI solutions

    Additional Information

    Project Structure and Variants: 100E (3-month POC): • Shortened, intensive path to validate AI concept quickly • Same methodology and team with AI Singapore's engineers + apprentices • Ideal for organisations wanting faster test before scaling • Delivers validated proof-of-concept 100E (6-month MVP/standard): • More time to build, refine, and deliver production-ready AI solution • Greater depth, possibly more features, more integration • Full production-ready deliverable Key Strengths and Advantages: • Access to AI expertise and talent - leverage AI Singapore's engineering team, domain experts, and AIAP apprentices • Co-funding reduces cost burden - grant support and matching model lower financial barrier to AI experimentation • Capability building - internal staff learn from process and absorb skills • Structured methodology and governance - built on disciplined processes and Model AI Governance Framework • Proven track record with credible projects across multiple industries Intellectual Property Arrangements: • IP arrangements differ depending on variant (industry vs research) • Often jointly owned or fully by sponsor depending on cash/in-kind split • Clear agreements established during project scoping phase Risks and Challenges: • Data limitations can derail model performance • Overambitious scope can lead to incomplete solutions • Dependence on external team if internal team doesn't engage • Selection competitiveness - strong proposals required • Governance, bias, and compliance risks must be managed

    Contact Information

    Official Website
    Email: [email protected]
    Phone: +65 6601 1291

    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