Skip to main content

OPEN SOURCE AI / CANADA

Open-source AI stack implementation in Canada

A free model is only cheap if it finishes the job with little extra work. For Canadian teams, we run an open-source option side by side with your current approach, test its answers and connections to your systems, and settle who will host and maintain it.

LEAN AI STACKWeigh control and running cost before picking an AI stack.We compare one task's output quality, hosting needs and support cost before anyone picks tools.
TASKRequired output
KEEPReliable tools
COMPARESupport and cost
TESTTeam acceptance
OPEN-SOURCE TASK TESTTask - Keep - Compare - Test
COSTPER MONTHAll-in running cost
CONTROLRULESWho can see data
SUPPORTOWNERWho fixes failures

CANADA / YOUR PROJECT

Control and cost are judged together, never apart.

Canadian teams get a straight answer on whether an open-source AI model does the job at a price they can carry.

01 / PROJECT CONSIDERATION

An open-source model can cut dependency on one vendor but adds hosting, support and security work a lean team must carry. We weigh that extra work against the task the business actually needs done.

02 / PROJECT CONSIDERATION

Our starting point is a single job, how private its data is under PIPEDA and which systems it touches. Before you choose between hosting a model and calling one, we measure answer quality, checking time and monthly running cost.

RUNNING COST

Would an open-source option improve this job once support costs count?

We price server hosting, security updates and staff support next to the subscription you pay today, so the comparison is fair.

01

What job should AI do here, and what answer is good enough?

02

Which privacy, access and integration rules must the setup meet?

03

Who keeps the setup running and responds when it fails?

04

What do you spend today, and what would the new setup cost?

Open-source options

An open-source option your team can run reliably.

We check the model and its add-on software against the job, the systems it must link to and the hours needed to keep it running. You end up with quality, control and full cost side by side.

Test a real use case

A strong model demo does not show whether it handles your team's real questions or documents.

Using real sample cases you pick, we count how often answers are right, unsure or need fixing, in English and in French where your customers write both.
The tools you need, connected

The new setup works alone but cannot reliably pass information to the existing workflow.

Before anything is replaced or widened, we prove the model can connect to your current systems with the right access.
Plan for daily operation

Nobody has agreed who handles hosting, upgrades, failed requests or access changes yet.

We name who applies updates, who answers a failed request and who adds or removes user access, before daily use begins.
Keep data in Canada

A client asks whether its customer records stay on servers in Canada.

We set up hosting in a Canadian cloud region or on your server, and map where data travels.

HOW IT WORKS

How we compare and test an open-source AI stack.

We follow one job through the software you use now and price three paths: keep, connect or switch to open source. You receive a clear recommendation and, if agreed, a working setup with hosting, access and support notes.

01

Review your setup

We follow one task through the tools you use now and record the result, cost and support work.

02

Compare the options

We pin down the access, integration or ownership problem a change must solve, and keep reliable systems where they meet the need.

03

Test the setup

We test the chosen option with agreed access and sample inputs, checking output quality, failure handling and who maintains it.

04

Decide on the result

We compare accepted output and total running cost, including staff review, so you can decide whether the change is worth extending.

WHY HABEN

An AI setup your team can support.

Your staff who will look after the setup run the real task and a backup recovery drill with us before handover, so the first failure is not a surprise.

PlanOne task, two tools

We compare the same task across current and alternative tools.

BuildLicence terms checked for your use

We read each model's licence so you know whether commercial use and changes are allowed.

CheckHand-over ready

Upgrade steps are written down and tried once with your team.

SERVICE QUESTIONS

Answers for Canadian buyers comparing open-source AI stacks.

What would our first open-source project with you involve?

One use case is tested against what you run today and one other option. Before the build, we agree the expected output, access, support duties, test and fee.

What do you need from us at the first meeting?

We start from the task, an example with private details removed and the tools it must connect to, plus the data sensitivity, hosting limits in Canada and who can maintain the system.

Will open source mean dropping tools that work?

Rarely. Software that works stays in place. Only when a current tool blocks the agreed change do we look at other options, and you choose which one we test, with the trade-offs laid out in plain words.

How will we know the work has helped?

We check that staff trust the answers and can keep the setup running without us. Then we compare hours spent on the task before and after, including time fixing odd cases, against what the new setup costs each month.

INTRO MEETING

Control and running cost, compared before you pick a stack.

We start from the task and your tool list, then agree what we compare or build and our fee, with GST/HST shown on the invoice.

Discuss the first step →