Enterprise AI Implementation · Singapore

Setting the frontier of enterprise AI and user experience in the world.

We design, build and deploy agentic systems on Claude and AWS for enterprises across Southeast Asia — then hand them over, documented, to the teams who run them.

Anthropic Partner Network — Services Track Amazon Partner Network 24 engineers · 4 lead architects Singapore · ASEAN delivery

Who we are

One team, three disciplines.

Claude Labs is an enterprise AI implementation practice in Singapore. We design, build and deploy agentic systems on Claude and AWS, and we stay named to the work — through build and into maintenance.

Agent Engineering

Claude Agent SDK, MCP servers, tool and interface design. The systems themselves — architected around their failure modes, not just their happy path.

The build

Platform & Data

Backend, data pipelines, AWS and access control. Everything the agents stand on, inside the boundary your security team already trusts.

The foundation

Delivery & Quality

Programme management, evaluation, QA and sign-off. The discipline that decides whether what we built actually ships.

The gate

What we do

Six service lines, one delivery team.

From first opportunity assessment through to the certification of the people who will own the system after us. Engagements run from a single day to six months.

AI Adoption Strategy

Discovery, opportunity assessment, roadmap and business case.

4–6 weeks · grant-eligible

Custom Agent Development

Production agentic systems on Claude Agent SDK — architecture, build, evaluation and deployment.

8–20 weeks

MCP & Systems Integration

Connecting Claude to your existing stack: tool and resource interfaces, authentication, data flow.

4–12 weeks

Data Security & Compliance

Data governance, residency and access control. PDPA alignment, audit trails and security review.

3–8 weeks

Enterprise Enablement

Role-specific programmes, internal champion networks and governance frameworks.

2 weeks to 6 months

Training & Education

Certification pathways and an internationally benchmarked AI curriculum, for every level.

1 day to 12 weeks

Credentials & standing

Accredited on the model layer and the infrastructure layer.

Most Singapore integrators hold one or the other. Holding both means we architect the model layer and the infrastructure layer without handing you off to a second vendor at the boundary.

Anthropic Partner Network — Services Track. Official implementation partner, currently progressing toward Select tier.

Amazon Partner Network. Registered partner. Deployments on AWS Bedrock, including cross-border architecture for regional deployments.

Certifications held

  • Claude Certified Architect – Foundations
  • AWS Solutions Architect
  • AWS Developer Associate

The full register, with holder names and renewal dates, is available on request.

Recognition

  • Winner — Anthropic × Temasek × Genspark Hackathon 2026
  • Tatler Asia — 60 Game-Changers, SG60 2025
  • Claude for Enterprise — Anthropic's first public speaking event in Singapore, co-hosted with AWS and Anthropic

Track record

Measured outcomes, not pilots.

Figures below are from delivered engagements. Client names are under NDA; sector, approach and technical stack are disclosed in full on the work page.

340 Analyst hours / month Returned to a regional brokerage. Brief preparation cut from 3–4 hours to 25 minutes.
94% Straight-through Claims document extraction across 12,000 monthly documents. Manual review down 78%.
71% Resolved unassisted Compliance queries answered with citation. Median response under two minutes.
100% Human-reviewed Every RFP draft flagged for human review before sending. No exceptions.

How we deliver

Five phases. Nothing is done until you say it is.

Independent code review by an engineer outside the build team. Automated evaluation of agent behaviour, not just unit tests. Client-run UAT against the criteria agreed at design.

01

Discover

Scope, stakeholders and success criteria agreed.

02

Design

Architecture, interfaces and written acceptance criteria.

03

Build

Two-week increments, demonstrated each cycle.

04

Validate

Independent review, automated evaluation, client UAT.

05

Handover

Documentation, training and repository access.

Your data stays where you put it. Singapore by default, AWS ap-southeast-1 — or any region you require. Data never leaves the region you choose, and is never used to train any model.

The code is yours from day one. All work product assigns to you on final payment. Repositories are client-accessible from the first commit, so on exit there is nothing to hand back.

Next steps

Start with an hour.

A discovery call, up to an hour, at no charge. If there is something to build, you get a scoped proposal within five working days.

01Discovery callUp to 1 hour, no charge
02Scoped proposalWithin 5 working days
03Full capability packPolicy documents and referees on request