Six disciplines, one accountable team.
We don't hand off a spec and disappear. Each engagement pairs the disciplines below into a single team that owns outcomes, not tickets.
Product Engineering
Full-cycle build of web, mobile, and platform products, from architecture through launch and iteration.
Explore →Cloud & DevOps
Migrations, infrastructure-as-code, and CI/CD pipelines built for teams that ship daily, not quarterly.
Explore →Data & AI
Data platforms, pipelines, and applied machine learning that hold up outside the notebook.
Explore →Cybersecurity
Threat modeling, secure architecture reviews, and hardening for products handling real risk.
Explore →Design & UX
Interfaces shaped around how people actually work, validated with users before a line of code ships.
Explore →Legacy Modernization
Untangling decade-old systems into services your team can actually change with confidence.
Explore →Recent builds worth talking about.
A sample of the systems our teams have designed, rebuilt, and now help run in production.
Domain depth, not just delivery capacity.
Each pod pairs engineers with people who've worked inside the industry, so you're not paying to explain the basics.
Founded by engineers who got tired of handoffs.
We started Nuze Intelligence in 2018 to fix a specific problem: software vendors that disappear after launch. Every team we staff stays accountable long after the first release.
The people accountable for delivery.
Every engagement reports up to someone on this list — not a rotating account manager.
Marguerite Okonjo
Founded Nuze Intelligence after a decade leading platform teams through two public-company scale-ups.
Devan Marsh
Owns architecture standards across every pod, and still reviews production incidents personally.
Priya Shenoy
Runs the embedded pods day to day — the person most clients talk to more than anyone else here.
Tobias Lindqvist
Built the applied ML practice from a two-person team into Nuze Intelligence's fastest-growing discipline.
Renata Souza
Keeps every engagement honest against its original scope, timeline, and budget — no exceptions.
Callum Reyes
Insists every feature gets tested with real users before it ships — a rule he's never once waived.
What it's like to work with us.
Unedited, in their words — pulled from post-engagement reviews.
Notes from inside the build.
Field notes from our engineering leads — what worked, what broke, and what we'd do differently.
Build things that stay in production.
We hire engineers who want to own outcomes, not just tickets — and who'd rather fix the root cause than patch around it.
Senior Backend Engineer
Own service architecture for a client-embedded pod working in Go and Postgres.
Applied ML Engineer
Take models from notebook to production pipeline, with real monitoring and rollback.
Product Designer
Sit inside a client pod from discovery through shipped UI, not just handoff mockups.
Technical Delivery Lead
Run scope, timeline, and budget for two to three concurrent client engagements.
Three offices, one delivery standard.
Every pod is staffed from these hubs, so you always know who's on the other end of the call.
Have a system that needs holding together?
Tell us what you're building and where it's stuck. We'll reply within one business day with next steps, not a sales script.