Good AI should be accessible to every business.
We kept seeing the same gap. So we filled it.
A founding team from the NTU Turing AI Scholars Programme and SMU Business, we watched consultancies price out SMEs, vendors sell them tools, and no one do the careful work in between. The practice we built is technical enough to deliver, and close enough to care.
SME digitalisation and AI adoption are being funded and pushed hard. The demand is real. A trusted, affordable way to act on it is not, and that is what we are built for.
Our mark is a bee for a reason. The best AI for a small business works like a hive: a handful of small, dependable tools, each doing one job well, that a lean team can actually run and trust.
A team that balances the build and the business.

Timothy Yong
An NTU Turing AI Scholar. Sets the overall direction, strategy, and partnerships, plus the standards we hold ourselves to on every engagement.

Ariq Koh
An NTU Turing AI Scholar with hands-on experience building LLM-based systems. Leads technical direction and solutioning, with a sharp eye for what's actually feasible.

Glenn Yeo
From SMU Business. Owns finance and operations: scoping, contracts, and keeping every engagement on solid commercial footing.
The best people for your problem, not whoever was free.
We keep the team that scopes your work small and accountable, and draw delivery from a vetted network of AI builders, including NTU Turing AI Scholars. A boutique model means we can be selective, and match the right people to your specific problem.
Specialists, not generalists
We deliver through vetted AI talent, including NTU Turing AI Scholars and other strong technical builders.
Assessed, not crowdsourced
Every builder is checked on real technical ability, and on their commitment to our delivery standards, before they touch a client project.
Matched to your problem
We don't assign whoever is free. We match the specific skills your solution needs to the right people in the network.
Held to one standard
Whoever builds your solution works to the same explainability, safety, and delivery-integrity standards we hold ourselves to.