Overview
Support Details
Support Rate
Up to 50% grant support for trialling GenAI solutions during the 3-month period
Cap
3-month trial period per solution, approximately 15 GenAI solutions available across categories
Project Duration & Scope
3-month trial period per solution, with potential for continuation post-trial
Eligibility Criteria
- Must be ACRA-registered, taxable, and operating in Singapore
- Must have ≥30% local shareholding
- SME size limits: Group sales turnover ≤S$100 million per annum OR group employment size ≤200 employees
- Cannot have adopted any other solution under the same GenAI Sandbox previously
- Must select from pre-approved GenAI solutions in the Sandbox's curated list
- Trial period limited to three months for the selected solution
Supported Categories
Application Process
Select from pre-approved GenAI solutions in one of the three categories
Submit application demonstrating SME eligibility criteria
Get selected into sandbox cohort (competitive selection)
Receive up to 50% grant support for 3-month trial period
Undergo solution onboarding and staff training
Implement and test GenAI solution in real business workflows
Monitor usage, feedback, and measure KPIs during trial
Evaluate results and decide whether to continue post-trial
Apply for additional support if eligible to continue using solution
Processing Time
GenAI Sandbox 1.0: Launched February 2024, GenAI Sandbox 2.0: Launched 2 December 2024
Project Duration & Completion
3-month trial period per solution, with potential for continuation post-trial
Best Practices for a Successful Application
Start with concrete problem - pick specific use cases where you see pain or opportunity rather than AI for AI's sake
Ensure data readiness - clean, structured data, access, integration timelines affect deployment speed
Engage vendor/solution providers early for onboarding, customisation, integration support
Set realistic trial goals/KPIs - define success metrics (% time saved, increased engagement, reduced workload) for 3 months
Monitor usage and feedback during trial - track logs, outputs, user experience, error rates, and iterate
Plan for scale/production early - think about hosting, maintenance, integration beyond trial
Train internal staff - ensure staff understand how to use, sanitize prompts, manage exceptions
Address governance/compliance early - plan for data privacy, audit logs, model oversight, fallback mechanisms
Participate fully in workshops/community - leverage support, learn from others in Sandbox cohorts
Decide early whether to continue - evaluate cost vs benefits, technical debt, adoption before committing


