About Airock

From curiosity about AI
to real implementation.

Airock is a Singapore-based, AI-native consultancy. We help companies digitise their workflows, build the right data foundation, and turn AI capabilities into products and systems that actually operate inside the business.

Our story

AI changed what a small team can ship.

Building a meaningful digital product used to require a large cross-functional team — product, design, engineering, data, QA, operations, business stakeholders — and many months before anything real reached users.

AI has changed the equation. Today the hardest part is no longer writing code. It's knowing what to build, why it matters, and how to turn a messy operational problem into a clear product or workflow that runs in the real world.

We started Airock to bring that capability to every company — not just large tech players. Read the founder's note below for the full story.

A Founder's Note

Why we started Airock.

A Founder's Note

Why We Started Airock

TL;DR

  • • What used to take a cross-functional team of 15+ and six months, an AI-native team of one or two can now ship in weeks.
  • • The bottleneck is no longer code. It's knowing what to build and turning a messy operation into a clear product.
  • • Airock helps SME and enterprise teams in Singapore digitise workflows, build the data foundation, and ship AI that runs in daily operations.

The old way of building was expensive and slow

Before starting Airock, I spent years leading digital transformation inside large companies. I saw first-hand what it took to build a meaningful digital product or transform a business workflow: a large cross-functional team — product managers, designers, engineers, data specialists, QA, operations and business stakeholders — and months, sometimes longer, before anything real reached users or created measurable business value.

That was the normal way of building. It is no longer the only way.

AI has changed the equation.

The new bottleneck is product thinking, not code

Today, the hardest part is no longer writing software. The real challenge is knowing what to build, why it matters, how it fits into the business, and how to turn a messy operational problem into a clear product or workflow.

This is where product leadership becomes decisive. My work over the past decade has been about translating business needs into product requirements, aligning teams around the right problem, and turning complexity into products, platforms and systems that actually operate in the real world. With AI in the loop, that capability becomes dramatically more powerful.

Proven in our own delivery: weeks, not quarters

We have already proven this in our own work. A small AI-native team — sometimes just one or two people — now takes a product from idea to launch in weeks, work that previously required a team of fifteen and half a year. And this is not the quick-and-fragile kind of delivery. When the process starts with clear product thinking, structured requirements, AI-assisted development, technical review and maintainable architecture, AI-native delivery produces systems that are not only faster to build, but easier to iterate, operate and maintain.

Who Airock is built for

Airock is built for SME leaders, operations teams and enterprise functions — especially in Singapore and Southeast Asia — who know AI matters, but don't yet know where to start, what to trust, or how to ship something their team actually uses on Monday morning. AI should not stay as a buzzword, a demo, or a tool reserved for big-tech. The real opportunity is to bring AI-powered productivity into every company, every team and every workflow.

Digital foundations come first

But AI transformation has to start from the ground up.

The first step is becoming properly digital.

AI only creates real value when the underlying data, workflows and business context are clear. For most companies, the first step is not building an AI agent or adding a chatbot. It is becoming properly digital: organising processes, structuring data, and creating systems that allow AI to actually understand, support and improve the work.

What Airock actually does

That is why we started Airock. We help businesses move from curiosity about AI to real implementation in weeks. We work with clients to clarify their business problems, digitise their workflows, build the right data foundation, and then turn AI capabilities into practical products, systems and automation that can be used in daily operations.

Airock exists to make AI transformation real — not just imagined, not just discussed, but built, shipped and delivered.

— Mei Hong, Co-founder, Airock

If this resonates, let's have a conversation.

A 30-minute call with Mei — no pitch, just your workflow and where AI can realistically help.

What we believe

Principles we deliver by.

Know what to build, not just how.

The hardest part of AI isn't the code. It's translating a messy business problem into a clear product and workflow.

Digital foundations before AI.

AI only creates real value when the underlying workflows and data are clear. For most companies, the first step is becoming properly digital.

Small AI-native teams, real systems.

A team of one or two can now ship what used to require dozens — without sacrificing structure, review or maintainability.

Built to operate, not just to demo.

We design for evals, observability, rollback and long-term maintenance from day one.

Hand back, don't lock in.

You own the code, the prompts and the team. We come back because you want us to.

Honest about trade-offs.

If buy beats build, we say so. If your idea won't work, we say that too.

Leadership

Founders.

Mei Hong — Co-founder, Airock

Mei Hong

Co-founder

Connect on LinkedIn ↗

Product leader and digital transformation specialist with 10+ years scaling digital products across Southeast Asia — Lazada, FairPrice Group, Wego, KINTO Singapore, Lylo. At Airock, she leads product strategy, system architecture, and technical delivery.

NUSEx-LazadaEx-FairPriceEx-WegoProduct & Delivery
Xiaoqing Zhang, PhD — Co-founder, Airock

Xiaoqing Zhang, PhD

Co-founder

Connect on LinkedIn ↗

Data scientist turned AI product builder. Leads client engagement, AI strategy, and delivery. Previously a Data Scientist at Meta and TikTok, working on large-scale analytics, ML and user behaviour modelling.

PhD, NUSEx-MetaEx-TikTokPlatform & ML

Let's talk

Work with Airock.

Book a 30-minute call with our team, or send a quick WhatsApp — we'll come back the same day.