Anthropic has finally given its Singapore customers somewhere to knock. The San Francisco-based AI lab opened an office in the city-state on Wednesday, its fifth in the Asia Pacific, and signed a memorandum of understanding (MOU) with the Ministry of Digital Development and Information (MDDI) that puts AI safety testing at the centre of the relationship.
The MOU was signed on Tuesday, on the sidelines of Singapore International Cyber Week, by MDDI Permanent Secretary Chng Kai Fong and Anthropic co-founder Ben Mann, with Minister for Digital Development and Information Josephine Teo and Anthropic’s Head of APAC Policy Michael Sellitto looking on. It covers three areas: AI safety, security and model evaluation; research on how AI is adopted and what it does to the economy; and responsible adoption across government and industry.
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The timing is hardly accidental. The same week, the Infocomm Media Development Authority (IMDA) unveiled new assurance measures for AI agents, a sign that Singapore’s regulators now worry more about software that acts than software that chats.
What is actually in the deal
Strip away the diplomatic language, and the MOU commits Anthropic to technical exchanges with Singapore’s AI safety, security and assurance institutions on model evaluation, testing standards and incident response, the playbook for what happens when a model misbehaves in the wild. Anthropic also says it will share research and data from its Anthropic Economic Index, help small and medium-sized enterprises (SMEs) adopt AI, build AI skills among public officers, and offer policy input as Singapore drafts its AI rules.
None of this is new territory. Anthropic joined the Generative AI Evaluation Sandbox run by IMDA and the AI Verify Foundation in 2023, and later worked with them on red-teaming (deliberately attacking a model to expose its weaknesses) in English, Mandarin, Malay and Tamil. The MOU formalises a relationship that already existed.
What the announcement leaves out is just as telling. There is no investment figure, no headcount target for the office beyond a note that it is hiring, and no word on whether the SME and skills programmes come with money attached. MOUs are statements of intent, not contracts, and Singapore signs plenty of them.
The customer list is the real story
Anthropic’s strongest case for an office here is the business it already has. More than 1,500 engineers and technical staff at the Government Technology Agency of Singapore (GovTech Singapore) use Claude Code, its AI coding tool, to modernise government systems. The Cyber Security Agency of Singapore is exploring how Claude could support the country’s cyber defence.
In finance, DBS uses Claude for software development and productivity in its Singapore operations, while sovereign wealth fund GIC is rolling it out across investment and corporate services teams. Regulated firms can now run Claude with in-region inference on Amazon Bedrock, meaning their data is processed within the region. That matters now that the Monetary Authority of Singapore has given financial firms a year to prepare for AI risk rules.
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The consumer internet giants are in too. Grab says BriX, its Claude-powered sales assistant, saves its sales teams around 40,000 hours a quarter. Sea uses Claude to make Shopee’s customer service chatbot faster and more accurate, and thousands of its employees write and debug code with it. Supabase, the developer platform with Singaporean roots, is building with Claude Code.
A caveat: these figures come from Anthropic and its customers, not independent audits. So does the claim that Singapore ranks second of 121 countries for Claude.ai usage relative to population, at nearly six times what its size would predict. Usage per head also says little about value created, a gap visible in research showing messy data keeps many SME pilots stuck.
“Our customers here hold AI to an extremely high standard, especially when it comes to reliability and security,” said Dale Finlay, Anthropic’s General Manager for ASEAN.
Rivals are circling the same prize
Anthropic is not alone. OpenAI last month hired former Elastic and Snowflake executive Sanjay Deshmukh to lead Asia Pacific sales, and has backed a public-private AI accelerator in Thailand. Google is betting on schools, telcos and local languages to scale Gemini across the region. Databricks has unveiled a US$350 million investment plan for the city-state. And Singapore’s own SEA-LION model offers agencies a homegrown option for Southeast Asian languages.
What sets Anthropic’s pitch apart is that it leads with safety evaluation rather than consumer reach, the area where Singapore, through AI Verify, has made itself a global reference point. For a lab whose brand rests on pairing capability with safety, a government that tests models for a living is a natural partner.
The questions an MOU cannot answer
Two uncomfortable issues sit beneath the handshake photos.
The first is dependency. In June, Anthropic suspended access to its Fable and Mythos models for nearly three weeks to comply with US Department of Commerce export controls, restoring it on 1 July. That episode was a reminder that Washington, not Singapore, holds the off switch for America’s frontier AI. The MOU says nothing about that risk, and it is fair to ask how GovTech would cope if a similar order hit the models its engineers now rely on.
The second is commercial. Anthropic’s IPO prospectus shows two customers generated nearly a quarter of its 2025 revenue, while the company plans to spend US$518 billion on compute and infrastructure. Spreading revenue beyond a few big US clients is a necessity, and a market of wealthy, AI-hungry institutions is where that starts. The office is a safety partnership, but it is also a sales operation.
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Neither point makes this a bad deal for Singapore. Closer access to a frontier lab’s evaluation methods strengthens its claim to be the region’s AI assurance hub, and local developers, more than 300 of whom attended Anthropic’s Builder Summit this week, gain a shorter line to the company.
The real test will come later, in what the MOU produces: published testing standards, incident-response protocols that get used, and SME programmes with funding behind them. Until then, Singapore has a new tenant with an impressive customer list, and another piece of paper.
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