A fifth Asia-Pacific office
Anthropic has opened an office in Singapore and signed a memorandum of understanding with the country’s Ministry of Digital Development and Information. Announced on 14 October, the office is Anthropic’s fifth in the Asia-Pacific region. The company says a larger local team will support businesses and government services already using Claude while working with policymakers and developers on safe adoption.
Singapore is a notable market for Anthropic. Its latest Economic Index ranks the country second among 121 countries for Claude.ai usage relative to population, at nearly six times the level predicted by population alone. That intensity makes the office more than a sales outpost: it places technical and policy staff close to a concentrated group of public-sector, financial-services and technology users.
The agreement focuses on safety institutions
Under the MOU, Anthropic and Singapore plan technical exchanges with AI safety, security and assurance institutions. Topics include model evaluation, testing standards and incident response. Anthropic says it conducts similar work with safety institutes elsewhere, sharing technical information to help governments understand frontier capabilities and risks while feeding lessons back into model development.
The parties also intend to strengthen AI skills, help small and medium-sized businesses adopt AI responsibly and build AI capability among public officers. Anthropic plans to share research and data, including findings from its Economic Index, and provide technical and policy expertise as Singapore develops AI rules. The announcement does not specify binding regulatory outcomes, funding or a delivery timetable.
Claude is already used in government
More than 1,500 engineers and technical staff at GovTech Singapore have adopted Claude Code for modernising government systems and accelerating software delivery, according to Anthropic. The Cyber Security Agency of Singapore is exploring Claude for cyber defence. These uses put reliability, source-code handling and incident escalation at the centre of the local relationship.
Public-sector deployments should be assessed by accepted code changes, security findings and service outcomes rather than licence counts. Agencies also need boundaries around repositories, secrets and external tools. A local Anthropic team may shorten support and policy conversations, but each agency remains responsible for procurement, access control and review of AI-assisted work.
Banks and regional technology companies
DBS uses Claude in Singapore for software development and everyday productivity under its security and governance framework. GIC is rolling Claude out across investment and corporate-services teams. Anthropic also points to in-region Claude inference on Amazon Bedrock for regulated organisations with strict data-processing requirements, although residency needs still depend on each workload and service configuration.
Grab uses Claude in BriX, a sales assistant that Anthropic says saves about 40,000 hours each quarter and identifies sales opportunities. Sea uses Claude in Shopee customer service and for code work by thousands of employees. Supabase is building with Claude Code. These examples span internal productivity and customer-facing systems, which carry different evidence, monitoring and fallback requirements.
A local ecosystem with measurable commitments
Anthropic marked the opening with a Singapore Builder Summit attended by more than 300 developers, following a community meetup for more than 700 builders. Events can grow a developer network, but the longer-term measure will be whether the office improves technical support, safety testing and access for smaller organisations rather than only large enterprises.
The MOU gives Anthropic a formal channel into one of the world’s most active AI markets and gives Singapore access to a frontier-model developer’s research and operational experience. The useful next step will be transparent reporting on joint evaluations, skills programmes and incident-response exercises. That would allow the public to distinguish an institutional safety partnership from a general expansion announcement.
Regional presence and accountability
A physical office can improve response during a service incident because local staff understand customers, regulators and time zones. Organisations should still establish formal support expectations rather than assuming proximity guarantees priority. Contact paths, severity definitions and evidence-retention procedures should be agreed before Claude becomes part of a public service or regulated business process.
The safety exchanges could be particularly useful if they include realistic evaluations in Singapore’s languages and institutional contexts. Models that perform well on broad English benchmarks may behave differently with local terminology, legislation or mixed-language conversations. Shared testing can expose those gaps, provided results and remediation commitments are documented rather than kept entirely private.
Skills programmes also need outcome measures. Training public officers or small businesses is useful when participants can identify appropriate tasks, protect sensitive data and evaluate results—not merely produce more prompts. Completion rates should be paired with examples of safer deployments, rejected unsuitable use cases and measurable improvements in service delivery. Universities and independent researchers could strengthen the partnership by studying how Claude changes work quality, who benefits and where human review remains essential. Publishing those findings would give other small, highly digital economies a more useful model than adoption statistics alone.