--- title: "AI Services in Singapore | AI Consulting | AgilityTech" url: https://agilitytech.ai/best-ai-services-singapore description: "AI consulting, LLM/RAG, automation and data engineering for Singapore finance, trade, logistics and pharma. PDPA-aware, on SGT hours, live in 3 to 8 weeks." publisher: Agility (agilitytech.ai) --- Singapore ยท Remote delivery on SGT hours # AI Consulting in Singapore PDPA-aware AI for Singapore's financial services, trade and logistics, biomedical and tech teams, shipped to production in 3 to 8 weeks on SGT hours. [Book a call](https://agilitytech.ai/contact)[See case studies](https://agilitytech.ai/case-studies) Typical time to production3 to 8 wks AI deployments delivered200+ Working hours, UTC+8SGT Aware by designPDPA In short ## AI services in Singapore AgilityTech provides AI consulting, generative AI, custom models, data engineering and automation for Singapore organisations in financial services and wealth management, trade, shipping and logistics, biomedical and pharma, and regional technology headquarters. Work follows PDPA and, for finance, the MAS FEAT principles. We have no Singapore office: a senior team delivers remotely across most of the SGT business day and ships to production in 3 to 8 weeks. Why Singapore ## AI for a finance, trade and research hub Singapore's economy rests on a few strong pillars: **financial services and wealth management**, **trade, shipping and logistics** around the **Port of Singapore**, **biomedical and pharma manufacturing**, and the **regional headquarters of technology companies**. Each of them runs on documents, data and decisions that have to be right and explainable, which is where well-governed AI earns its place. In finance, that means designing models and assistants with the **MAS FEAT principles** of Fairness, Ethics, Accountability and Transparency in mind. In trade and logistics, it means reading shipping and customs documents and predicting delays before they become problems. In biomedical and pharma, it means making research and quality records searchable, and in regional HQs it means internal assistants and automation for teams that serve many markets at once. AgilityTech builds these systems from scoping to production in 3 to 8 weeks, with 200+ deployments behind us. We do not have an office in Singapore. Delivery is remote, by senior engineers in India, two and a half hours behind SGT, so we overlap most of your business day. The market ## Policy that pushes adoption, rules that keep it safe The government has set a clear direction. The **National AI Strategy 2.0 (NAIS 2.0)**, launched in **December 2023**, focuses on AI talent, business adoption and infrastructure. At **Budget 2025** it announced the **Enterprise Compute Initiative (ECI)**, **S$150 million** to help enterprises adopt AI with cloud providers through compute credits and consulting support. Adoption is moving: among SMEs it rose from **4.2% in 2023 to 14.5% in 2024**, and among larger enterprises from **44% to 62.5%**. The rules are just as clear. The **Personal Data Protection Act 2012 (PDPA)**, overseen by the PDPC, governs personal data. The **Model AI Governance Framework** from the PDPC and IMDA sets out how to deploy AI responsibly, and **AI Verify** is IMDA's toolkit for testing AI systems. We build to these from the first sprint. We can also help scope work that fits ECI-style programmes, but we are not an approved ECI vendor or partner, and eligibility is decided by IMDA and the programme. AI in Singapore National AI Strategy 2.0 (NAIS 2.0) launchedDec 2023 Enterprise Compute Initiative, announced at Budget 2025S$150M SME AI adoption, 2023 to 20244.2% to 14.5% AI adoption among larger enterprises, 2023 to 202444% to 62.5% Services ## AI services we deliver in Singapore A full-stack AI capability, from strategy through to running, governed systems. ### AI consulting and strategy A practical roadmap that picks the use cases with the clearest return, sets out the governance each one needs under PDPA and, for finance, MAS FEAT, and sequences delivery for early wins. [Generative AI consulting](https://agilitytech.ai/generative-ai-consulting) ### Generative AI, LLM and RAG Assistants and retrieval over policies, research notes, trade documents and SOPs that answer accurately and cite their sources. Explore our [LLM development services](https://agilitytech.ai/llm-development-services). [Explore GenAI and RAG](https://agilitytech.ai/generative-ai-consulting) ### Custom AI development Bespoke models for fraud and risk signals, client servicing, shipment ETA and exception prediction, demand forecasting and quality checks, built on your own data. [Custom AI development](https://agilitytech.ai/custom-ai-development) ### Data engineering and analytics Pipelines and data platforms that bring core systems, documents and operational feeds into one reliable source, with lineage and access controls that stand up to audit. [Data engineering](https://agilitytech.ai/solutions/data-engineering) ### Automation Automation for onboarding checks, document handling, reconciliations, reporting and back-office work, with every action logged so operations and compliance can see what happened. [Automation solutions](https://agilitytech.ai/solutions/automation) ### Cloud and on-prem AI Deploy in your cloud region, a private cloud or on premises when data must stay inside your environment, including [cloud-to-on-premises migration](https://agilitytech.ai/cloud-to-on-premise-migration) onto infrastructure you control. [On-premises AI services](https://agilitytech.ai/on-premise-services) Industries ## Who we build for in Singapore The sectors that carry most of Singapore's economy. ### Financial services and wealth Client servicing assistants, document review, risk and fraud signals, designed with MAS FEAT principles in mind. ### Trade, shipping and logistics Trade document intelligence, ETA and exception prediction, and forecasting for operators linked to the Port of Singapore. ### Biomedical and pharma Search and summarisation over research and quality documents, plus forecasting and quality analytics for manufacturing. ### Regional tech HQs Internal assistants, support automation and data platforms for teams that serve markets across the region. Why Agility ## Why Agility for Singapore ### Governance built in We document data sources, testing and decision logic in line with the Model AI Governance Framework, and design finance work around MAS FEAT, so your risk and compliance teams can review what we build. ### Fast and senior Production in 3 to 8 weeks, staffed by senior AI and ML engineers, backed by 200+ deployments. Teams that want to grow their own capability can also [hire senior AI developers](https://agilitytech.ai/hire-ai-developers) to work alongside their people. ### PDPA-aware and deployable privately Where data must stay in your environment, we deploy to a private cloud or on premises, with audit trails and role-based access, and we work on SGT hours across most of the business day. How it works ## How engagements work A clear path from idea to production, measured in weeks, not quarters. - 01Days ### Discovery A free consultation and short scoping sprint to pick the highest-value use case, check the data it needs and agree clear success measures. - 02Short sprints ### Build Senior engineers build in short sprints on SGT hours and demo working software at the end of each iteration, so your team keeps control of direction. - 033 to 8 weeks ### Deploy We ship to production in your cloud, a private cloud or on premises, with monitoring, audit trails and a documented handover. FAQ ## AI services in Singapore: common questions [Ask us something else](https://agilitytech.ai/contact) **Does Agility have an office 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. **Can you build AI for banks, insurers and wealth managers regulated by MAS?+** 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. **How do you handle PDPA and data residency?+** 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. **How long does a typical project take?+** 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. **Can you help with the Enterprise Compute Initiative or other grants?+** 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. **What hours do you work, and how do you communicate?+** 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. **Which AI models do you use?+** 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. Nearby ## AI services in nearby and partner markets [AI services in Malaysia](https://agilitytech.ai/best-ai-services-malaysia)[AI consulting in India](https://agilitytech.ai/ai-consulting-india)[AI consulting in the USA](https://agilitytech.ai/ai-consulting-company-usa)[AI consulting in the UK](https://agilitytech.ai/ai-consulting-uk) ## Ready to put AI to work in Singapore? Book a call. We scope every engagement clearly upfront and respond within 24 hours. [Book a call](https://agilitytech.ai/contact)