January 23, 2026

How to get 50% government funding for AI infrastructure in Singapore

A practical guide to funding production AI, MLOps, and data modernization with up to 50% government support.

Building production AI infrastructure in Singapore?

You're probably eligible for 50% government funding. Most companies don't realize EDG covers operational infrastructure projects, not just R&D.

Here's what actually qualifies and how it works.

EDG is not just for innovation

Many finance teams still frame EDG as a grant for experimentation, but in practice, it supports capability building.

That includes projects such as:

  • Designing and implementing production MLOps pipelines
  • Modernizing fragmented data platforms into scalable architectures
  • Introducing data observability and lineage
  • Restructuring cloud architecture to align cost with usage
  • Building structured governance around AI and data systems

The key requirement is that the work strengthens the company’s long-term capabilities. Infrastructure modernization qualifies because it fundamentally upgrades how your organization builds and operates.

Is your project a good fit?

EDG works best when the engagement is meaningful in scope, and the timeline spans several weeks.

It is not designed for a two-week emergency fix.

It also does not qualify for small ad-hoc consulting work, staff augmentation (temporary contractors), software licenses alone, or undefined operational support.

EDG supports structured projects with defined outcomes.

How this works in practice

Example: An e-commerce company building recommendation capabilities internally. Models work in staging, but deployments are manual (takes 1 week), no monitoring, and the infrastructure scales inefficiently.

The team knows the next step is to build robust CI/CD for models, production-grade monitoring, and auto-scaling of inference endpoints.

Project scope (12 weeks):

  • Production MLOps pipeline (CI/CD for models)
  • Automated deployment with rollback
  • Model performance monitoring
  • Cost tracking and alerts
  • Team training (5 days hands-on)

Project costs:

  • Total: SGD 90,000
  • EDG funding: SGD 45,000 (50%)
  • You pay: SGD 45,000

Outcome:

  • Faster model deployment (1 week → 1 day)
  • Cost visibility (discovered SGD 8,000/month waste)
  • Team training
Typical ROI: Infrastructure projects funded by EDG usually pay back in 3-12 months through faster delivery, cost savings, or both.

The timeline: Faster than you think

A common hesitation is timing, but don’t assume grant applications take months and stall progress.

In reality, once the technical scope is clearly defined, the timeline is often 6-8 weeks from preparation to approval.

The most important thing to prevent delay is to define a clear scope:

  • When modernization goals are vague (for example, improve our data stack, optimize costs, fix MLOps), you can expect applications to slow down.
  • When objectives are concrete (defined deliverables, measurable impact, structured implementation), the process moves predictably.

Who is eligible?

Most established Singapore tech companies already meet the core criteria:

  • Singapore-registered entity
  • At least 30% local shareholding
  • Minimum local employment
  • Financially solvent

If you’re operating a real production system and planning a meaningful infrastructure upgrade, eligibility is rarely the blocker.

The real barrier is often internal

Many leadership teams know their AI or data foundations need work. But if the upgrade feels expensive, EDG shifts the equation.

Having an internal tech team is another hesitation for companies. But EDG is not about replacing your engineers. It’s about upgrading the capability faster than internal bandwidth allows.

Specialized infrastructure work

Production MLOps, data observability, lineage tracking, and cost attribution are deep, specialized domains.

Consultants bring the expertise while internal teams bring domain knowledge. The combination is stronger than either alone. Just ensure the consultants share their knowledge and their know-how with your engineers.

Speed without permanent headcount

Hiring senior platform engineers or AI infrastructure specialists permanently is expensive and slow. Especially in Singapore.

EDG allows companies to co-invest in structured modernization projects without long-term hiring commitments.

  1. You upgrade the system.
  2. Your team absorbs the knowledge.
  3. The organization retains control.
Architecture reset moments

Internal teams are excellent at building and iterating.

But when a platform has grown organically for years, modernization requires stepping back and redesigning core assumptions. That kind of reset benefits from an external perspective.

An outside view shortens the redesign cycle and reduces blind spots.

How projects move forward

Week 1-2: Define scope together to clarify what you actually need: production MLOps, data observability, architecture redesign, or cost optimization.

Week 3-4: EDG consultant prepares application.

Week 5-10: Enterprise Singapore reviews (typically 4-6 weeks).

Week 11: Approval, the project starts.

Week 11-25: Project execution (12-16 weeks typical)

Upon completion: Submit claims, receive reimbursement

The total time to start is 6-11 weeks from initial consultation to project kickoff, not the 6 months people assume.

Closing thought

Most AI infrastructure projects are delayed by cost, bandwidth, and expertise constraints. EDG grants can change your capital efficiency.

If you're planning to:

  • Move AI models from prototype to production
  • Modernize fragmented data infrastructure
  • Introduce observability to production systems
  • Optimize spiraling cloud costs
  • Build MLOps capabilities

There's a high probability your project qualifies for EDG.

First step: Schedule a free 30-minute consultation. We'll review your infrastructure needs and outline a realistic scope and timeline. If EDG isn't appropriate for your situation, we'll tell you directly.