Hong Kong, Hong Kong
AI development for Hong Kong teams, handed over in writing
We build AI products from Vancouver, British Columbia, and we work with Hong Kong teams without a single shared working hour. No office there, no staff there. What replaces the shared day is a written handoff, decisions logged as they are made, and review that happens on your morning rather than in a call.
- base
- vancouver, bc, canada (UTC-08:00)
- market
- Hong Kong, Hong Kong
- your clock
- UTC+08:00 (Asia/Hong_Kong)
- overlap
- none on the same date, written handoff instead
- presence
- remote only, no office in Hong Kong
No shared working day, so the loop is written
Hong Kong is 16 hours ahead of Vancouver. When we start at 09:00 it is 01:00 on the next day for you, and when we stop at 17:00 it is 09:00 on the next day. On the same calendar date there is no hour where both sides are at work.
That is not an apology. A loop that turns once every twenty-four hours, in writing, is a faster way to build software than a calendar full of half-attended calls, and it forces the decisions into a form somebody can read six months later.
- The Vancouver day ends with a written summary: shipped, broken, blocked, and the one thing we need you to decide.
- That summary is waiting at 09:00 your time, alongside the diffs it refers to.
- The decision log lives in the repository rather than in a chat thread, so it is still readable a year later.
- Anything that would block us gets asked as a proposal you can approve in a sentence, not as an open question.
One live call a week, and it is scheduled honestly: 17:00 in Vancouver is 09:00 in Hong Kong on the next day. Neither side takes a bad hour for that one. The call simply lands on two different calendar dates, which is a scheduling detail rather than a hardship.
What Hong Kong buyers usually bring us
The record for Hong Kong lists two industries. Here is the part of each one that turns into an engagement, and the service line it lands under.
financial services
Research, filings and internal policy are the corpus. Hybrid search with metadata filters as hard constraints, plus span citations, or it does not ship.
Recall gets measured before anybody comments on the wording, because a fluent answer drawn from the wrong passage is the worst outcome on offer.
Closest service line: Knowledge bases and retrieval
logistics
Carrier APIs, warehouse systems and customer portals all break differently under load, which is why the integration work is the project.
Business rules become typed tools with explicit contracts, because a rule that lives in a prompt is a rule that drifts.
Closest service line: Forward-deployed engineering
Contracts, currency and where the data sits
Invoices are in US dollars. Engagements here are frequently regional rather than local, so the statement of work names which entities the system serves.
The rest is the same everywhere: we scope it, we build a thin slice against your real data, and we hand back something your own team can maintain. No retainer you cannot cancel and no seat licences.
The five lines we sell
Same five lines everywhere, Hong Kong included. Most engagements are one of them, sometimes two.
- AI products, built end to end
- Knowledge bases and retrieval
- Codebase and team optimization
- Training and enablement
- Forward-deployed engineering
The languages, models and infrastructure underneath all five are listed on the Magic Ship stack page, with what each one is good for and where it is the wrong choice.
Other markets in Asia
Same treatment, different clocks, and in some cases a different answer.
Start a project
Send the problem rather than a job spec. You get an answer on scope, timeline and whether we are the right shop, written by the person who would do the work.