Data and AI systems
that run in production
We build for organisations where the data is sensitive and the decisions are regulated. Past and present clients include Samsung, AB InBev, Manulife, Definity, Teck, MaxHealth and CMHA. Senior engineers scope the work and build it.
Clients we have worked with
Past and present engagements across electronics, consumer goods, insurance, mining, healthcare and the public sector.
- Manulife
Our Solutions
Three capability areas. Most engagements draw on more than one.
AI Strategy & Implementation
Comprehensive AI advisory services to identify opportunities, develop roadmaps, and implement solutions that deliver measurable business impact.
Data Engineering & Architecture
Design and implementation of scalable data infrastructure to support advanced analytics and AI initiatives across your enterprise.
Advanced Analytics
Turn complex data into actionable insights with our expertise in predictive modeling, machine learning, and business intelligence.
Ways to work with us
Four shapes an engagement usually takes. If none of them quite fit your situation, say so — that is a normal first conversation.
Fixed-scope build
Defined deliverable · weeks to months
A specific system, scoped up front and delivered. You know what you are getting, what it costs, and when it lands.
Best when: The problem is well understood and you want it solved without opening a hiring req.
Embedded senior team
Ongoing · alongside your people
Our engineers work inside your team, on your stack, to your standards and in your review process — for as long as the problem needs.
Best when: You have a capable team that is short on senior capacity, not on direction.
Advisory and roadmap
Assessment · sequenced plan
An honest read on the data estate and a plan in the order it should actually be done. Sometimes the conclusion is that you do not need us to build it.
Best when: There are several plausible directions and the cost of picking the wrong one is high.
Build and run
Delivery · then ongoing operation
We build the system and keep it running — monitoring, refreshes, and changes as the inputs change.
Best when: The system matters but does not justify hiring a permanent team to maintain it.
How we work
The things worth knowing before you decide whether to take the call.
Production systems, not slide decks
The deliverable is working software running in your environment, integrated with what you already operate. Assessment is a means to that, not the product.
Regulated data is the default case
Healthcare, insurance and public-sector work carries real constraints on where data can live, who can see it, and what has to be auditable. We design for those from the first week rather than retrofitting them before go-live.
Senior people do the work
The people who scope your engagement are the people who build it. No junior bench behind the pitch, and no handover to a team you have not met.
Tell us what you're working on
Describe the problem in a couple of sentences. If we're not the right people for it, we'll tell you who is.