Teams that own hard technical bets
Hazesoft builds dedicated senior teams from HDL Group's Kathmandu studio — European delivery standards at rates European agencies can't match. Senior engineers own your systems year over year, and AI sits inside our workflow, not on our pitch deck.
Shape your squad ↗Mastery area
The inner ring is what our teams are hired for and measured on. The outer ring is what we're fluent in because production systems demand it — capabilities we bring into an engagement, not ones we sell alone.
Four things we are hired to do, and nothing we are not.
AI changed how we build. It did not change who is accountable.
Our teams run an AI-assisted delivery loop end to end: specification, implementation, review, regression. The engineer still signs the pull request.
Spec compression
Requirements, existing code and domain docs become an executable specification in days, not sprints. Ambiguity surfaces before anyone writes code.
Assisted implementation
Agentic tooling handles migrations, test scaffolding and boilerplate under a senior engineer's architecture. Throughput rises where work is mechanical, not where it is judgement.
Review gates
Nothing generated reaches production unreviewed. Static analysis, eval suites and human sign-off gate every merge — the same bar for machine-written code as for ours.
Weeks one to four decide the next three years.
Technical due diligence
Two weeks in your codebase and org before we commit a team. We tell you what we find, including reasons not to hire us.
Team assembly
A named squad, not a rate card. You interview the tech lead. Nobody is swapped out mid-engagement to a cheaper profile.
First merge in weeks
Production code inside the first month. Small, reversible changes first — trust is built in the diff, not the deck.
Compounding ownership
The same team, quarter after quarter. Context compounds; velocity comes from not re-explaining your domain every six months.
Systems still in production. Teams still on them.
A Hazesoft squad inside your org chart: your rituals, your codebase, our people. 3–6 engineers, from six months.
We take a system end to end — architecture, build, launch, operations — against outcomes we sign our name to.
A standing retainer for organisations putting AI into core operations: roadmap, build capacity, evaluation infrastructure.