Singapore, Singapore
AI development for Singapore teams, handed over in writing
We build AI products from Vancouver, British Columbia, and we work with Singapore 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
- Singapore, Singapore
- your clock
- UTC+08:00 (Asia/Singapore)
- overlap
- none on the same date, written handoff instead
- presence
- remote only, no office in Singapore
No shared working day, so the loop is written
Singapore 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.
There is a real cost and it is worth naming: an answer to a blocking question can take a working day to reach you. We handle it by sending the proposed answer with the question, so silence means agreement rather than a lost day.
- Everything built during our day lands in one written note before we close the laptop. No status meeting stands in for it.
- Your morning starts with that note and a set of pull requests to review, which is a better start than a calendar invitation.
- Every decision worth arguing about is written down where the code is, with the reasoning and the date attached.
- Questions come with a recommendation, because a question that needs a reply before work continues costs a full day here.
One live call a week, and it is scheduled honestly: 17:00 in Vancouver is 09:00 in Singapore 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 Singapore buyers usually bring us
The record for Singapore 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.
Chunking follows the structure of the document instead of a character count, which is the whole difference between a useful index and an expensive one.
Closest service line: Knowledge bases and retrieval
shipping
Vessel systems, port calls and documentation flows each need their own integration, built against live data and real timeouts.
Recurring patterns get pushed back into your platform, so the next account receives a supported capability rather than another one-off.
Closest service line: Forward-deployed engineering
Contracts, currency and where the data sits
Invoices are in US dollars or Singapore dollars. Regional headquarters usually buy for several markets at once, so the scope gets written per market rather than as one number.
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, Singapore 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
Each one has its own page, its own overlap arithmetic and its own industries.
Start a project
Write down the problem in whatever form you have it. You get a straight answer about scope, timeline and whether this is work we should be doing at all.