What Clients Say

Organisations who've worked with Cinnabar

We let the work speak. Below are experiences shared by clients across logistics, professional services, trade, and finance — all based in Hong Kong.

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Professional business environment Hong Kong
Client Reviews

Experiences from across our client base

WL

Wai-Lam Cheung

Operations Director · Logistics firm, Kwun Tong

"We approached Cinnabar with a specific problem — our afternoon delivery runs were consistently overrunning. The team took time to understand our actual routing constraints before doing anything. The optimisation model they built has reduced our late deliveries noticeably, and the dashboard is something our operations team uses every morning without any training hurdles."

January 2026

MK

Michelle Kwok

Managing Partner · Professional services, Central

"The maturity assessment was genuinely useful in a way I didn't expect. I anticipated a generic scoring exercise but received something much more specific — a realistic view of where our data practices were holding us back and what to address first. The framing throughout was constructive, not judgmental. We've since used it as the basis for a more serious internal AI roadmap."

December 2025

PT

Patrick Tang

Head of Trade Finance · Trading co., Wan Chai

"Our business involves frequent correspondence and meetings across Cantonese, Mandarin, and English — and the translation quality from off-the-shelf tools was always a source of friction. Cinnabar's implementation is notably more accurate for trade finance terminology, which matters when you're reviewing contracts. The vocabulary calibration work they did made a real difference."

January 2026

AG

Amy Guo

Chief Technology Officer · Retail group, Mong Kok

"I was cautious about engaging an external AI firm because I'd had experiences where the handover was poor and the team was left without understanding what had been built. Cinnabar handled this differently — the documentation they provided was genuinely clear, and the working sessions they ran with our technical staff meant we could actually maintain and iterate on the system ourselves after they left."

December 2025

RC

Raymond Chan

General Manager · Import/Export, Tsuen Wan

"The fleet scheduling work has reduced our fuel costs in a way that is now visible on the monthly P&L. I appreciate that Cinnabar was clear from the start about what was realistic — they didn't oversell the outcome. The actual result has been better than I expected, and that's partly because the expectations were set sensibly."

January 2026

LY

Lily Yip

Head of Strategy · Insurance sector, Admiralty

"We used the AI Maturity Assessment before committing to any larger AI project. The report was honest about the gaps in our data governance — areas I suspected were problematic but hadn't articulated clearly. The recommendations were sequenced in a way that made practical sense. We've since addressed the first two priorities and are now in a much stronger position."

December 2025

Case Studies

Selected project outcomes

Three brief accounts of work completed and what it achieved.

Challenge

Multi-depot logistics firm with route inefficiency

A Kowloon-based logistics operator with three depots and 40+ vehicles was experiencing delivery delays and high fuel expenditure due to manual route planning that couldn't account for real-time traffic across Hong Kong Island, Kowloon, and the New Territories.

What We Did

AI optimisation with live traffic integration

Cinnabar built a multi-variable routing model that incorporated live traffic data, vehicle load capacities, delivery time windows, and driver hour limits. The system integrated with their existing fleet management software and provided a dashboard accessible to dispatchers.

Outcome

Measurable improvements within 8 weeks

Late delivery rate fell from 23% to 8% over the first six weeks of live operation. Fuel costs reduced by approximately 14% on a per-delivery basis. The operations team reports considerably less manual intervention in daily scheduling.

Timeline: 12 weeks · Logistics Optimisation

Challenge

Cross-border team with language friction

A professional services firm operating across Hong Kong and the Greater Bay Area held weekly strategy meetings in mixed Cantonese-Mandarin-English, with significant comprehension gaps that were affecting decision quality and internal alignment.

What We Did

Real-time translation with domain calibration

We implemented a real-time translation system optimised for professional services terminology — including legal, financial, and organisational vocabulary. The system operates in their existing meeting platforms and handles document translation for internal distribution.

Outcome

Noticeably smoother cross-language collaboration

The client reports that follow-up email threads requesting clarification after meetings have reduced substantially. Two previously bilingual-only roles are now accessible to Mandarin-only staff. The translation accuracy for domain-specific terminology is markedly better than their previous tool.

Timeline: 6 weeks · Language Translation

Challenge

Executive team uncertain about AI readiness

A mid-size financial services company wanted to develop an AI strategy but the executive team had divergent views on the organisation's current readiness — with some believing they were further along than the technical reality suggested.

What We Did

Structured assessment across five dimensions

Cinnabar conducted a full maturity assessment, interviewing stakeholders across technology, data, operations, and leadership. The evaluation covered data governance, current AI tool usage, talent capability, governance structures, and how AI value was being measured — or not.

Outcome

Shared understanding and a clear starting point

The maturity profile created alignment within the executive team on realistic next steps. Data governance was identified as the priority — ahead of any model development. Six months later, the company had completed the recommended foundational work and was in a position to begin a focused AI pilot.

Timeline: 3 weeks · Maturity Assessment
By the Numbers

A consistent track record

47

Organisations engaged

4.8/5

Average client satisfaction

92%

Projects delivered on schedule

6+

Years in Hong Kong market

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