To make production-grade AI accessible and accountable for organizations of every scale.
We Are Singa Lab
A team of researchers, engineers, and strategists obsessed with turning AI potential into measurable business outcomes.
From research lab to enterprise partner
Singa Lab was founded in Taiwan in 2026 by a team of engineers and consultants who kept seeing the same pattern: companies investing in AI pilots that never reached production. The gap wasn't talent or technology — it was methodology. We built Singa Lab to bridge that gap.
"We built the firm we always wished existed when we were inside enterprise AI teams."
Founders, Singa Lab
A world where AI creates measurable, equitable value — not just impressive demos.
What we believe
Outcome Obsession
We measure success by the business results our clients achieve, not deliverables shipped.
Ethical AI by Default
Fairness, transparency, and accountability are non-negotiable in every project we take on.
Client Partnership
We don't drop a slide deck and leave. We embed, upskill, and transfer capability.
Radical Candor
We tell you what you need to hear — even when it's that AI isn't the right solution.
Continuous Learning
The field moves fast. We invest 20% of our time in R&D and emerging methods.
Engineering Rigor
Beautiful presentations mean nothing without production-ready, reliable systems.
Meet the Minds Behind the Work
Dr. Amara Osei
Former Principal Scientist at DeepMind. PhD in Statistical ML from Cambridge. 15 years in AI research and enterprise strategy.
James Whitmore
Previously led ML Platform at Stripe. MSc in Computer Science from MIT. Built production AI systems serving 100M+ users.
Dr. Leila Hosseini
Led NLP research at Google Brain. 40+ published papers in machine learning and natural language processing. Expert in LLM safety.
Marcus Chen
Former McKinsey partner. Specializes in scaling AI-native organizations. Managed 200+ person consulting teams across Asia-Pacific.
Dr. Priya Nair
Founding member of the Partnership on AI. JD from Yale. Leads our responsible AI practice and regulatory compliance work.
Tom Richardson
10 years in enterprise software and AI product. Previously at Palantir and Databricks. Leads client engagement across EMEA.
Ready to build something?
Let's talk about your AI challenges.