We Help Organisations Navigate AI With Clarity
Shiok Labs was established in Singapore to address a gap we kept observing: organisations eager to adopt AI but without the foundations, frameworks, or people ready to carry it forward.
Back to HomeBuilt to Make AI Adoption Sensible
Shiok Labs came together in 2021 as a small team of AI practitioners and organisational consultants who had each spent years working on opposite sides of the same problem — one side building AI systems, the other helping teams navigate change.
What we kept finding was that the two rarely talked to each other properly. Technical teams designed solutions without enough understanding of how people and organisations actually operate. Change management consultants advised on adoption without deep knowledge of what the technology could or couldn't do.
Shiok Labs was our answer to that gap. We bring both perspectives under the same roof and apply them together — starting with an honest read of where your organisation actually stands, then building from there in a direction that makes sense for your people and your situation.
We're based at Cecil Street in Singapore and work primarily with organisations across the Asia-Pacific region, with a particular focus on the Singapore business environment and its regulatory context.
Our Mission
To help Singapore organisations build AI capability that is grounded in reality, supported by their people, and designed to last — rather than capability that looks impressive on paper but struggles to take hold in practice.
The People Behind the Work
Our team brings together backgrounds in AI engineering, organisational development, and business consulting — with a shared commitment to honest, grounded advice.
David Lim
Former machine learning engineer with a decade of experience designing and deploying AI systems in financial services and logistics across Southeast Asia.
Priya Tan
Organisational psychologist and change management specialist who has led technology adoption programmes across healthcare, education, and professional services organisations.
Marcus Ng
Solutions architect with a background in enterprise IT integration, focusing on making AI systems work within real-world technology constraints and compliance requirements.
Our Standards and Protocols
We hold ourselves to clear standards across every engagement — not because it looks good on paper, but because it's how we ensure our work is actually useful.
Data Privacy (PDPA)
All engagements are conducted in accordance with Singapore's Personal Data Protection Act. Client data is handled under explicit agreements and never used beyond the defined engagement scope.
Transparent Scope
We define scope, deliverables, and fees clearly before any work begins. Changes to scope are discussed and agreed in writing — not introduced quietly after the fact.
Vendor Independence
We hold no commercial relationships with AI vendors. Our recommendations are based solely on what we assess to be most appropriate for your specific situation.
Deliverable Quality
Every engagement concludes with tangible, usable deliverables — not slide decks that sit on a shelf. Reports, plans, blueprints, and training materials are designed for real use.
Honest Communication
If we see something that doesn't look right, we'll say so. We'd rather give you an uncomfortable truth early than let a problematic direction run unchecked.
Confidentiality
All client information is treated as confidential. We do not reference client names or share case details in our marketing without explicit written permission.
AI Consulting for Singapore Organisations
Shiok Labs sits at the intersection of AI technology and organisational practice — a position that lets us address AI adoption from both the technical and the human side simultaneously. Organisations that work with us tend to be those who've found that pursuing these tracks separately leads to solutions that either don't fit their infrastructure, or don't gain traction with their people.
Our work spans three domains: capability assessment, which gives organisations a clear and data-informed picture of their current AI maturity; people development, which builds distributed internal expertise rather than centralising knowledge with a single team; and technical architecture, which translates business requirements into AI system designs that integrate cleanly with existing operations.
Singapore's position as a regional technology hub creates both significant opportunity and meaningful complexity for AI adoption. Organisations operating here navigate data sovereignty considerations, sector-specific regulations, and a talent market that is competitive but specialist-rich. Our familiarity with this environment informs how we approach every engagement.
Curious Whether We'd Be a Good Fit?
A brief introductory call is a low-commitment way to find out. We'll ask about your situation and share honestly whether what we do aligns with where you're trying to go.
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