Most of the grants we’ve written about on this blog help a business start with AI — a first tool, a first workflow, a first overseas push. The Enterprise Compute Initiative (ECI) is different. It’s the scheme for the business that’s past experimenting and ready to build something serious — and the support on the table is on a completely different scale from anything else available to a Singapore company.
It’s also, honestly, not for everyone — and knowing whether you’re ready for it (and how to become ready) is the whole game. Here’s the practical picture, from an AI consultancy Singapore SMEs work with on exactly this journey.
What the ECI actually is
The ECI is a S$150 million government-backed programme designed to accelerate AI and cloud adoption in Singapore-based businesses, announced at Budget 2025 and led by Digital Industry Singapore (DISG) under IMDA, with Enterprise Singapore, GovTech, and the Smart Nation office behind it. The mechanism is distinctive: rather than reimbursing you for a purchase, the programme partners you with a major cloud provider — AWS, Microsoft, or Google Cloud — to build a working AI Minimum Viable Product (MVP), with the government subsidising the expertise to get you there.
What’s on the table
The support comes in two parts, and the numbers are worth reading twice:
- Cloud credits and AI tools. Depending on the provider track, participating companies can receive substantial credits — up to around S$250,000 in Azure credits under the Microsoft track, or a baseline of up to roughly S$350,000 under the AWS track — plus access to the provider’s AI platforms and structured training.
- Consultancy co-funding. The government co-funds up to 70% of eligible consultancy costs, capped at S$105,000 per enterprise, for appointed partners to help design your AI roadmap, build the MVP, and manage the organisational change around it.
Combined, the package can reach around S$555,000 of support per enterprise — with the company typically covering about 30% of the consultancy cost. For context, that’s several times larger than the headline support under any of the standard SME grants. The intent is explicitly catalytic: a short, intensive programme (cohorts run roughly six months to a year) to get a real AI product or capability into production, not another pilot that fizzles.
The honest catch: you have to be ready
Here’s where we’ll be straight with you, because this is where most interest in the ECI ends. The programme is deliberately aimed at companies that are already moderately AI-ready. The eligibility bar includes:
- A tech team of at least two — software engineers, AI engineers, or data scientists on your own payroll.
- Prior AI experience — you’ve built a custom AI solution at least to proof-of-concept before.
- Accessible data — real datasets, in usable shape, for the use case you’re proposing.
- Financial readiness — the ability to see the project through, including your co-payment share.
Applications are then assessed on the impact of the use case and your organisational and infrastructure readiness, with proposals expected to target process improvement, new product development, R&D, or a contribution to the wider ecosystem. Slots are finite — each provider track targets a few hundred companies — and the programme runs for a limited window, so it rewards businesses that arrive prepared.
If you’re a typical SME just starting with AI, that bar rules you out today. But that’s not the end of the story — it’s the useful part.
How an SME should actually use the ECI to scale
Think of Singapore’s AI support as a ladder, and the ECI as its top rung. The smart play isn’t to lament not qualifying — it’s to climb deliberately:
Rung 1 — prove value with a first project. Start with a scoped AI workflow that pays for itself, funded the accessible way: a pre-approved solution under PSG (or its successor EDGE), with the 400% EIS tax deduction softening the cost. This is where you learn what AI does for your business and build your first usable dataset.
Rung 2 — build the team and transform the work. Use the CTC grant’s 70% co-funding to pair the technology with job redesign and training, so you develop exactly what ECI later demands: in-house people who can work with AI, and processes designed around it.
Rung 3 — get your data in order. The unglamorous prerequisite. Clean, accessible, well-organised data is both the thing most AI projects die without and an explicit ECI requirement. Every project on rungs 1 and 2 should be quietly improving it.
Rung 4 — arrive at ECI with a serious use case. By now you have a tech-capable team, working AI experience, real data, and a proven appetite. That’s the company the ECI was built for — and the one that turns a few hundred thousand dollars of credits and subsidised expertise into a genuine scaling move: an AI product, a platform, a capability your competitors can’t quickly copy.
The point is that the ECI isn’t a lottery ticket; it’s a destination. Businesses that treat the smaller grants as steps toward it extract far more from the whole system than those that grab whichever scheme is nearest.
Is it worth aiming for?
For the right SME, emphatically yes. The economics are unusual: where most grants co-fund a purchase, the ECI subsidises the construction of a capability — an MVP built on serious cloud infrastructure, with expert guidance, at a fraction of its real cost. Done well, participants may even anchor a dedicated AI team in Singapore off the back of it, which is precisely the kind of durable advantage that separates businesses that scale from those that stay busy.
The usual honesty applies: this is programme information, not grant or financial advice. Cohort timing, provider tracks, and terms shift, and slots are limited — so confirm the live details at DISG (disg.gov.sg) before you plan around it.
Where Oasis Web Asia comes in
Our role spans the whole ladder. For businesses earlier in the journey, we build the first AI projects, the data foundations, and the team-adoption work that make you ECI-ready — usually with the accessible grants helping fund each step. For businesses already at the bar, we help you sharpen the use case and scope the MVP so your application is built around a result worth funding. Either way, the goal is the same one behind everything we do as an AI consultancy Singapore businesses trust: not AI for its own sake, but a capability that measurably grows the company.
If you’re wondering where your business sits on that ladder — and what the shortest honest path to the top rung looks like — that’s exactly the conversation we like to have.
Start a conversation → — get a free consultation with our Singapore-based team.