From a national AI strategy with clear targets to governance frameworks, talent ecosystems, infrastructure commitments, enterprise adoption programmes, and prolific public-private partnerships, Singapore’s playbook blends innovation incentives with practical execution focus. This creates a rare environment where product teams don’t just explore AI, they build real, impactful solutions.
National AI Strategy that Drives Products & Adoption
Singapore’s National AI Strategy 2.0 (NAIS 2.0), updated through ongoing implementation around 2025–26, emphasises wide-scale adoption, ecosystem building, and AI for the public good. Rather than focusing only on research labs, it’s about driving real AI uptake across sectors like healthcare, logistics, smart cities, safety, and education. Smart Nation Singapore+1
Key pillars include:
- Accelerating AI adoption in enterprises and SMEs
- Upskilling talent and nurturing an innovation ecosystem
- Building trusted governance and responsible AI practices
- Developing infrastructure and data access for practical use
It’s a roadmap for product builders and tech adopters to align with national priorities and funding flows. Smart Nation Singapore
Strategic Funding & Schemes Supporting AI and Product Innovation in Singapore
Singapore’s innovation ecosystem is supported by a structured set of public programmes designed to reduce the risk of experimentation, accelerate adoption, and support companies at different stages of maturity. These schemes do not replace product thinking or technical execution, but they meaningfully lower the barrier to starting, testing, and scaling technology initiatives.
Below is an overview of the most relevant programmes for companies building AI and digital products.
A Fast-Growing AI Ecosystem & Real-World Adoption Signals
Singapore’s economy is increasingly shaped by tech and AI-related activity:
AI-driven economic growth:
Government data show Singapore’s GDP expanded robustly in 2025, with the tech sector, particularly demand for AI-related semiconductors, compute and server infrastructure, contributing strongly to the strongest annual growth since 2021. Reuters
International R&D hubs:
Major global players like Google DeepMind are opening research labs in Singapore, a sign that multinationals see the city-state as a key regional base for AI research and collaboration. Reuters
AI-ready infrastructure:
Singapore has become a regional AI and data centre hub, with dozens of hyperscale and colocation facilities, multi‑billion‑dollar investments in high‑density capacity, and cross‑border campuses in Johor and Batam that support GPU-intensive training and low‑latency access into ASEAN.
Deep tech workforce:
Singapore’s tech workforce has grown to well over 200,000 ICT professionals, with AI, data, and cloud roles among the fastest‑expanding segments, making it one of the few places in Asia where you can assemble full‑stack product teams that understand both advanced technology and regulated, enterprise environments.
Local innovation communities:
Innovation hotspots like Blk71 continue to house entrepreneurs, VCs, incubators, and tech teams, creating dynamic networking and product acceleration opportunities.
These ecosystem signs, economic growth tied to AI, international investment, and vibrant local startup zones, make Singapore a meaningful context for product builders and investors alike.
Startup SG Programmes for Tech & Deep-Tech
Singapore’s Startup SG umbrella supports early-stage founders and technology ventures through funding, mentorship, and co-investment. These programmes are particularly relevant for startups building proprietary or technically complex products.
Startup SG Tech
Early-stage funding for tech startups building proprietary technology. It supports both Proof of Concept (POC) and Proof of Value (POV) projects, making it well-suited for AI prototypes, experimental platforms, and technically ambitious MVPs.
Apply:
https://www.startupsg.gov.sg/programmes/4897/startup-sg-tech
Startup SG Founder
Provides up to S$50,000 in funding alongside mentorship for first-time founders in Singapore, helping founders validate ideas, form teams, and build early traction.
Apply:
https://www.startupsg.gov.sg/programmes/4894/startup-sg-founder
Startup SG Equity (via SGInnovate)
The government co-invests with private investors into deep-tech companies, including AI and advanced technology startups, helping crowd-in capital for longer-horizon innovation.
Read more:
https://www.startupsg.gov.sg/programmes/4895/startup-sg-equity/eligibility
These programmes are most effective when teams already have a strong problem definition and technical direction — funding supports progress, but does not replace product–market fit or execution capability.
AI-Focused Programmes
Singapore also runs dedicated initiatives to accelerate AI experimentation, adoption, and leadership readiness across industries.
AI Springboard (AWS + Digital Industry Singapore)
Provides up to approximately S$600,000 in cloud credits, training, and technical support to help enterprises adopt and pilot AI systems. This is particularly useful for organisations modernising infrastructure or exploring AI use cases.
Read more:
IMDA AI & Digital Leaders Programmes
Designed to accelerate AI adoption and strengthen digital competitiveness by developing leadership capability and strategic readiness for AI integration.
Read more:
100 Experiments Programme (100E) by AI Singapore
Co-funds AI projects (up to S$150,000) focused on research, prototyping, and applied experimentation, helping teams test feasibility and build early implementations.
Read more:
These programmes work best for organisations that are ready to move beyond curiosity into structured experimentation, where clear use cases, data availability, and deployment pathways already exist.
SME Productivity, Transformation & Market Expansion
For SMEs and established businesses, Singapore provides grants focused on productivity, digitalisation, and international growth.
Productivity Solutions Grant (PSG)
Supports SMEs in adopting pre-approved digital and IT solutions, including AI-enabled tools, with up to 50% funding support. Commonly used for automation and workflow modernisation.
Apply:
https://www.enterprisesg.gov.sg/financial-support/productivity-solutions-grant
Enterprise Development Grant (EDG)
Funds larger transformation projects related to innovation, productivity improvement, digitalisation, and internationalisation. Suitable for more complex and strategic technology initiatives.
Apply:
https://www.enterprisesg.gov.sg/financial-support/enterprise-development-grant
Market Readiness Assistance (MRA)
Supports SMEs expanding overseas, including funding for market entry activities, localisation, and digital enablement for new markets.
Apply:
https://www.enterprisesg.gov.sg/financial-support/market-readiness-assistance-grant
These grants are most valuable when digital and AI projects are tied directly to business outcomes — such as cost reduction, efficiency gains, new revenue streams, or market expansion — rather than treated as isolated IT upgrades.
Workforce Upskilling & Capability Building
Singapore also recognises that technology transformation depends on people, not just systems.
SkillsFuture Enterprise Credit (SFEC)
Encourages companies to invest in workforce upskilling by offsetting training and capability development costs, including AI literacy and digital skills.
Apply:
Upskilling ensures that AI and digital tools are not only implemented, but also understood, maintained, and continuously improved by internal teams.
Responsible AI & Governance as a Competitive Edge
Singapore uses practical, principle-based frameworks that shape product design and risk management:
Model AI Governance Framework
This framework provides guidance on responsible AI deployment, such as explainability, bias mitigation, and human-centric systems, that is applicable across industries. Infocomm Media Development Authority
AI Verify & Assurance Tools
Collaborations led by IMDA and the AI Verify Foundation aim to develop standardised approaches for testing, evaluating and assuring AI performance and safety in real applications. Infocomm Media Development Authority
Sector-Specific Governance
In regulated industries such as finance, mandatory model risk management frameworks (e.g., MAS’s guidelines) introduce oversight expectations that product teams must integrate into their design and documentation processes. Diligent
This emphasis on responsible AI practices is about trust, safety, enterprise adoption, and enterprise contracts. Products that adhere to these expectations often have smoother commercial paths.
Legal & Regulatory Context
Singapore currently has multiple legal frameworks intersect with AI deployments, covering data protection, liability, competition, content safety, and specific regulated sectors like healthcare and transportation. GLI+1
This shapes product decisions around:
- Data use and privacy practices
- Accountability and civil liability
- Industry-specific regulatory interfaces
- Intellectual property considerations
Understanding this landscape, and designing AI systems with legal foresight, becomes a competitive advantage when deploying products that serve regulated clients or cross-border markets.
How This All Comes Together for Product Teams
✅ Singapore Incentivises Practical AI
The strategy is execution-first, connecting innovation to industry needs.
✅ Funding De-risks Investment
Grants help teams build, pilot and iterate without carrying full budget risk.
✅ Governance and Responsible AI Matter
These frameworks are not bureaucratic add-ons, they are design requirements when building enterprise-grade AI products.
✅ The Ecosystem Is Vibrant
Local startup hubs, economic growth tied to tech, global investments and policy clarity make Singapore a launchpad into ASEAN and global markets.
✅ Legal & Talent Landscapes Are Maturing
Product teams who understand the legal context and leverage local skills gain faster routes to market and more enterprise trust.
How DevLabs by AngelHack Helps Teams Build and Implement AI Products
Singapore provides strong support for AI innovation, from funding and infrastructure to governance and talent development. But turning that support into working products still requires clear product thinking and disciplined execution.
DevLabs by AngelHack helps organisations move from experimentation to production by:
- Identifying high-impact AI use cases aligned with business goals
- Designing production-ready systems that integrate models, data, and workflows
- Building and deploying AI within web, mobile, and enterprise products
- Embedding responsible and compliant AI practices into product design
- Supporting iteration, scaling, and long-term system evolution
In Conclusion, Singapore Is a Product-Ready Ecosystem
Singapore’s approach to AI and digital products is structured, interconnected and practical. There are incentives, but they are coupled with expectations about responsibility, quality and impact. For founders, SMEs, and product teams thinking about building real AI products that scale, this combination is rare and powerful.
In a world where most markets are still figuring out how AI fits into the economy, Singapore is already building the rules of the game, and innovators who learn to play well within them often reap outsized rewards.
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Get in touch with DevLabs by AngelHack to discuss your goals, constraints, and next steps.
Book a Free ConsultationFAQ
Who is this relevant for?
Founders, SMEs, product teams, and enterprise leaders who are exploring or actively building AI and digital products in Singapore.
Do I need to apply for a grant to work with DevLabs?
No. Grants are optional and context-dependent. DevLabs works with teams regardless of funding source and can support both funded and unfunded projects.
Can DevLabs help before we apply for a grant?
Yes. Clarifying your problem, product scope, and technical approach upfront often improves both project success and grant application quality.
Do you only work with companies based in Singapore?
No. We work with global teams, but have experience operating within Singapore’s regulatory, funding, and enterprise environment.
What stage do we need to be at to work with you?
Anywhere from early idea validation and prototyping through to scaling, optimisation, and long-term system support.
