# AI Singapore – 100E (100 Experiments)

> AI Singapore – 100E (100 Experiments) offers co-funding up to S$150,000 for Singapore businesses, capped at S$150,000 per project.

Max Support

Co-funding up to S$150,000

Cap

S$150,000 per project

### On This Page

## 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: enquiries@aisingapore.org

Phone: +65 6601 1291

## Frequently Asked Questions

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.

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.

The AI Singapore – 100E (100 Experiments) provides Co-funding up to S$150,000 funding support, capped at S$150,000 per project. AI Singapore provides co-funding support (grants part of the cost) with organisation matching via in-kind and cash contributions

Scoping and assessment - consult with AI Singapore to assess AI readiness via AIRI or internal scoping. Define business use case, problem statement, data readiness. Develop baseline/initial model or prototype to test viability. Submit technical proposal with resource plan, milestones, team roles, KPIs. Undergo AI Singapore's evaluation (engineering, governance, business impact). Implementation and development with agile sprint cycles. Iterate models, refine features, integrate with systems with frequent stakeholder check-ins. Handover and deployment - deliver AI solution into your systems. Knowledge transfer with documentation and training of internal engineers. Post-deployment monitoring and fine-tuning. Visit the official portal at https://aisingapore.org/innovation/100e/

The AI Singapore – 100E (100 Experiments) is administered by AI Singapore. You can contact them at enquiries@aisingapore.org or +65 6601 1291.

Where Volty fits

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## Other Relevant Grants

Explore additional funding opportunities that might complement this grant

Digital Leaders Programme (DLP) · Up to S$200,000 over 2 years support, Support for up to 4 digital transformation roles · Career Conversion Programmes (CCP) · Up to 70-90% support, S$5,000-S$7,500 per month (enhanced rates) · Business Improvement Fund (BIF) · Up to 70% for SMEs, 50% for non-SMEs support, Project-based evaluation

## Links

- [Digital Leaders Programme (DLP)Up to S$200,000 over 2 years support, Support for up to 4 digital transformation roles](https://voltade.com/sg/grants/dlp-grant)
- [Career Conversion Programmes (CCP)Up to 70-90% support, S$5,000-S$7,500 per month (enhanced rates)](https://voltade.com/sg/grants/ccp-grant)
- [Business Improvement Fund (BIF)Up to 70% for SMEs, 50% for non-SMEs support, Project-based evaluation](https://voltade.com/sg/grants/bif-grant)
