AI Consulting in Singapore

No. AgilityTech does not have an office in Singapore, and we would rather say so plainly. Every engagement is delivered remotely by senior engineers based in India. India runs on IST (UTC+5:30), two and a half hours behind Singapore Time, so our team overlaps most of the Singapore business day for calls, demos and reviews.

Yes. For financial services we design models and assistants with the MAS FEAT principles (Fairness, Ethics, Accountability and Transparency) in mind from the start: documented data sources, fairness checks on the groups that matter for the use case, explainable outputs, human review where decisions affect customers, and audit trails your risk and compliance teams can inspect. We work alongside your own model risk process rather than replacing it.

We design every system around the Personal Data Protection Act 2012 (PDPA), which the PDPC oversees: collect only the personal data the use case needs, restrict access by role, log what the system does, and keep data where your policies require it. If data must stay in Singapore or inside your own environment, we deploy to your cloud region, a private cloud or on premises, and our engineers work within the access you grant. We also follow the Model AI Governance Framework from the PDPC and IMDA when we document how a system makes decisions.

Most focused AI systems go from scoping to production in 3 to 8 weeks. That covers a short discovery sprint, a build in short iterations with working demos, and a production deployment with monitoring and handover. Larger programmes are split into stages so each one ships something usable.

We can help you scope AI work in a way that fits programmes such as the Enterprise Compute Initiative (ECI), the S$150 million scheme announced at Budget 2025 to help enterprises adopt AI with cloud providers. We are not an approved ECI vendor or partner, and we cannot promise eligibility: that is decided by IMDA and the programme itself. What we can do is define the use case, the compute it needs and the outcomes clearly, so your application and your project plan line up.

We plan meetings and reviews inside the Singapore business day. Because India is only two and a half hours behind SGT, most of your working day overlaps with ours, so stand-ups, demos and urgent questions do not wait until the next morning. Day-to-day work runs on your tools, such as Slack or Teams, Jira and your own repositories.

We choose the model for the job rather than for the brand. That can be a hosted large language model from a major provider, an open-weight model running in your own environment when data must not leave it, or a smaller classical machine-learning model when that is cheaper and easier to explain. For finance and other regulated work we often favour models we can deploy privately and test thoroughly, and we can use IMDA's AI Verify toolkit as part of testing.