A studio, not an agency.
We design, build and operate AI products for ambitious teams. Twelve years in, distributed across four continents, run by the people doing the work.
Six things we’ve learned the hard way.
Ship the work.
We measure ourselves by what's in production, not what's in a slide.
Architecture before prompt.
Picking the right model is easy. Picking the right system around it is the job.
Evals are the product.
If we can't measure it, we don't build it. Every feature ships with an eval set.
Operate from day one.
Tracing, guardrails, cost — the boring parts are how you keep the magic on.
Senior bench, kind people.
No staffing pyramids. Every engagement gets people who've done it before.
Distributed, async-first.
Twelve years remote. We're built for output, not for hours in a chair.
Started in Canada. Distributed by design.
iSystematic began in 2013 building data and ML systems for enterprise teams that needed more than a deck. The brief was simple then and it’s simple now — ship work that holds up in production.
Twelve years later we’re a senior, kind, distributed team of engineers, designers and researchers who care deeply about the craft. We work in tight pods — usually four to six people — embedded with your team for the duration of an engagement.
We’ve never raised outside capital. We’re not a body shop. We’re a studio.
iSystematic was founded by Nabeel Khan, who writes and advises as an AI governance consultant and set the standards this studio builds to — governed agents, audit trails and evidence you can hand a regulator.
Some of that work becomes product. We publish Maxim for Claude Code, a behavioural intelligence layer that makes every AI output cite the framework it applied, and the studio’s conversational work runs on the ARIA customer experience platform. Both are reference architectures for what we build with clients.
Want to talk about your AI roadmap?
30-minute architecture review. No SOW theatre.