Colorado (CO), United States
AI development for Denver teams, on your working day
The shop is in Vancouver, British Columbia, and it is one person deep. Denver clients are worked with remotely, on a schedule that happens to line up: 7 hours of every working day sit inside both calendars at once.
- base
- vancouver, bc, canada (UTC-08:00)
- market
- Denver, United States
- your clock
- UTC-07:00 (America/Denver)
- overlap
- 7 hours a day, 09:00-16:00 in Vancouver
- presence
- remote only, no office in Denver
7 hours of your day, every working day
Denver runs 1 hour ahead of Vancouver. On a normal working day the two calendars overlap from 09:00 to 16:00 Vancouver time, which is 10:00 to 17:00 where you are.
A window that size means questions get answered while they still matter. Nobody sits on a blocker overnight, and a bad assumption gets caught in the hour it was made rather than in the following sprint.
The parts that still get written down are written down anyway: acceptance criteria, the decision log, and what changed in each weekly increment. A shared clock is not an excuse for an undocumented project.
What Denver buyers usually bring us
The record for Denver lists two industries. Here is the part of each one that turns into an engagement, and the service line it lands under.
aerospace
Certification evidence has to trace to a document revision, so retrieval returns the clause and the revision it came from rather than a confident paraphrase.
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
energy
Operational data is high volume and low tolerance for a wrong answer, so the eval harness and the fallback behaviour get built before the interface.
The interface is the final quarter of the job. Everything before it is the tool layer and the tests that keep the tool layer honest.
Closest service line: AI products, built end to end
Contracts, currency and where the data sits
Invoices are in US dollars. A US buyer engaging a Canadian company is routine, and the form your accounts team will ask for is a W-8BEN-E, which we have ready before the first invoice.
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, Denver 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 United States
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.