AI-Native Development · Canada
AI-Native Development across Canada — software designed around agents, not bolted onto them.
We build products where AI is the architecture, not a feature flag: agentic workflows, retrieval, evals and cost controls, shipped to production for Canadian teams. Not a demo. A system your engineers own.
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Why Canada teams call us
The work you can't afford to get wrong.
An AI-native build practice delivering across Canada in your timezone — the same team and playbook from Toronto fintech to Montreal's research bar to Ottawa's sovereignty requirements.
We bolted a chatbot onto our product and it works in the demo and falls over with real users.
Everyone says 'add AI'. Nobody can tell us what to build, what it costs to run, or how we'd know it's working.
Our prototype has no evals, no guardrails and no observability — we can't ship it to customers and sleep.
Our token bill is climbing and we have no idea which features or models are driving it.
We need an agent that does real work across our systems, not a wrapper around a single prompt.
What we do
What an AI-native build actually includes.
Every engagement starts with a 30-minute call. If we can't tell you something useful in that window, we don't take it on.
AI-native product architecture
We design the product around the model: where AI sits, where deterministic code sits, and where a human stays in the loop. The boring decisions that decide whether it survives contact with real users.
Agentic workflows
Agents that take real action across your systems — tools, function calling, multi-step plans — with the safeguards that stop them doing something expensive or irreversible.
RAG & retrieval
Retrieval that returns the right context, not the nearest vector. Chunking, hybrid search, re-ranking and the evals that prove it actually grounds answers.
Evals & observability
You can't ship what you can't measure. We stand up evals, tracing and quality monitoring so regressions are caught before your customers catch them.
Model routing & cost control
Opus where it earns its keep, Sonnet or Haiku where it doesn't, nothing where a function call is cheaper. Cost guardrails and budgets wired in from day one.
AI UX that builds trust
Streaming, citations, confidence and graceful failure — the interface patterns that make users trust an AI feature instead of abandoning it.
Why Canada
Built for Canadian teams.
We build AI-native products across Canada and tune them to each market: fintech for Toronto, research-grade for Montreal, sovereign for Ottawa, industrial for Calgary and Edmonton, engineering-led for Waterloo and Vancouver. The city pages below go deeper.
We're Australian-headquartered, working remote-first in your timezone, designing for PIPEDA, Quebec's Law 25 and Canadian residency — with self-hosted models where sovereignty demands.
What "good" looks like.
We measure ourselves on what your team is doing differently — not on hours billed.
From idea to an evaluated, working prototype your team can pressure-test with real data.
Every AI feature ships with evals and tracing, so quality is a number you watch — not a vibe.
Typical inference-cost reduction once model routing and caching replace 'Opus for everything'.
Code lands in your repository with your engineers, not locked in a vendor sandbox.
How we engage
Three ways to start. All begin with a call.
Engagement
AI-Native Sprint
2-week build sprint: a working, evaluated prototype of the highest-value AI feature, with the architecture documented. Fixed scope, fixed fee.
from C$10K
Engagement
AI-Native Build
6–10 week engagement: production build of an AI-native feature or product — agents, retrieval, evals, observability and cost controls, in your repo.
from C$50K
Engagement
Embedded AI team
An embedded squad that builds alongside your engineers and leaves them able to run it. 2–4 days a week, quarterly outcomes.
from C$12K/mo
FAQ
Direct answers to what Canada teams ask before they book.
Do you work across Canada?
We're an Australian-headquartered firm and work with Canadian teams remote-first in your timezone, with onsite visits for kickoff and key milestones. We work with teams in Toronto, Vancouver, Montreal, Calgary, Ottawa, Edmonton and Waterloo.
How fast can you start?
A 2-week AI-Native Sprint can start the Monday after the scoping call. Larger engagements typically begin 1–2 weeks out, depending on team availability.
Do you work in CAD and to Canadian compliance?
Yes — we contract and price in CAD. We design for PIPEDA, Quebec's Law 25 where relevant, SOC 2 and ISO 27001. We're an official Vanta partner for the evidence side.
Which models do you build on?
We're model-agnostic — Claude, GPT, Llama and open-weight models — and we route between them on cost and capability. We're not reselling one vendor's stack.
Do you hand it over, or keep us dependent?
Hand it over. Code lives in your repo, the architecture is documented, and the point of an embedded engagement is that your team can run and extend it without us.
Are you Canada-based?
Australian-headquartered, delivering remote-first in your timezone with onsite when it counts. Each city page covers the local AI use cases.
PIPEDA / Law 25?
Yes — designed for, with self-hosted models for sovereign or residency-constrained work.
Do you actually build, or just advise?
Both — and we never advise without being willing to build. If we tell you the answer is Apache Superset, we'll stand it up. If we say hire a senior engineer, we'll write the spec and sit on the panel.
Related
Stop benchmarking. Book a call.
Thirty minutes. No deck. We'll either tell you what to do next, or who you should be talking to instead of us.
Book a 30-min call