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Execution Stories

Why I started Morphy

Most APAC mid-market companies sit on customer data they don't know how to use. Morphy exists to close that gap — in weeks, not quarters.

Why I started Morphy

Most APAC mid-market companies are sitting on customer data they already own and can’t turn into revenue. I started Morphy to fix exactly that.

The gap is widening

The big consultancies move too slowly and cost too much for the pace AI is setting. Freelancers can build, but rarely think commercially. Internal teams are buried in business-as-usual and quietly worried AI will replace them rather than back them up.

So the gap between holding data and using it to grow revenue keeps opening. Every quarter you wait, a competitor turns their data into an advantage and you don’t.

I’ve watched this from the inside. I built Tesco’s financial-services line from $0 to $63m in a year off the back of the Clubcard base, turned Carrefour’s loyalty data into a supplier-funded promotions engine, and ran loyalty and CRM as a P&L at McDonald’s. The pattern never changes: the data was already there. Someone just had to make it pay.

What Morphy does about it

We turn the customer data you already own into working systems that move a number:

  • Customer data maximization — find the revenue hiding in the data you already hold, mapped to ROI
  • Data strategy and architecture — the foundation that makes AI deployable, not a science project
  • AI-driven customer experience — data turned into experiences that lift conversion, retention and AOV
  • Human-in-the-loop automation — AI agents that do real work, with the guardrails to keep your team in control

Every engagement runs 4–8 weeks. Every engagement ends with something live in production and a metric that moved. No slide-deck-only delivery.

Where this matters most

The companies we help first usually look like one of these:

  1. Retailers with loyalty programmes collecting data but not converting it to revenue
  2. Financial services with a customer-360 platform and no personalisation lift to show for it
  3. Travel and hospitality brands sitting on rich behavioural data and a flat conversion rate

If that’s you, the problem is rarely the platform. It’s the gap between what the data could do and what it’s actually doing.

What’s next

I’ll write here regularly, across the themes Morphy is built on: the commercial creativity that finds revenue in data, AI pragmatism over hype, real-world personalisation, execution stories with honest timelines, and how humans and AI agents actually work together.

If any of this is the problem in front of you, book a discovery call — it’s free, and short.

— Huw

Frequently asked questions

What does Morphy do?

Morphy is an execution-led AI and data consultancy based in Singapore. We ship working systems — personalisation engines, AI agents, data architecture — for mid-market APAC companies in 4–8 weeks. Every engagement is tied to a measurable business metric.

How is Morphy different from a Big 4 consultancy?

Big 4 engagements typically take 12–24 weeks and end with a strategy deck. Morphy engagements take 4–8 weeks and end with a working system live in production, plus a metric that moved. We're founder-led, mid-market priced, and metrics-first by design.

Who does Morphy work with?

Mid-market companies (500–5,000 employees) in retail, financial services, and travel/hospitality across Singapore and APAC. Typical clients are Chief Data Officers, Heads of Digital, and CMOs who own customer experience and personalisation.

Working on a similar problem?

Book a discovery call