Services in Canada
Three ways we work with Canadian teams.
Prices in CAD. Every engagement opens with a fixed-fee diagnostic, so you see the work before you commit to more.
AI-Native Development
Agents, retrieval, evals and cost controls built into the core of your product, and shipped to production.
from C$10K
or from C$12K/mo embedded
CTO Advisory & Fractional CTO
Architecture, hiring, vendor calls and a technology story your board and investors will back.
from C$10K
or from C$12K/mo embedded
Platform Development
APIs, data platforms, cloud and reliability, built so you scale instead of re-platforming next year.
from C$10K
or from C$12K/mo embedded
Cities
7 cities. One team.
We tune the work to each market: fintech in Toronto, research-grade AI in Montreal, sovereign systems in Ottawa, industrial work in Calgary and Edmonton, engineering-led scale in Waterloo and Vancouver.
In their words
What clients say.
Working with PADISO has been a game-changer for our guest innovation initiatives. Their strategic insight, architectural expertise, and hands-on delivery have been instrumental in shaping a clear and scalable path forward.
Justin ShumackDirector of Product, TFE HotelsPchee is set to revolutionize team culture and connections as the engagement AI assistant of choice in the year of AI, thanks to Padiso's visionary efforts.
Monica AbedCEO and Founder, P.CheeQuestions
What Canadian teams ask.
Straight answers to what Canada teams ask before they book.
Are you based in Canada?
We are headquartered in Sydney and deliver remote-first in your timezone, with on-site visits for kickoff and key milestones.
Do you price in CAD?
Yes. We contract and invoice in CAD, and every engagement opens with a fixed-fee diagnostic.
Do you design for PIPEDA and Law 25?
Yes. Both, with French-language obligations under Bill 96 and Canadian residency where required.
How fast can you start?
A two-week diagnostic can start the Monday after the scoping call. Larger engagements usually begin one to two weeks out.
Which models do you build on?
We are model-agnostic: Claude, GPT and open-weight models, routed on cost and capability, including self-hosted models where residency demands.