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We build your product the way we build ours, or we set your team up to run agents in production, on your stack and your standards. Either way, you own what we deliver.
the call is a free first conversation; the assessment is a separate, paid step
We build Niwa, Trovex, Yoru, WRAI.TH and Dokan, and run agentic development in production with Clareo Systems and a Swiss real-estate group.
We build it.
Product and AI systems, shipped to production at studio pace. We run our own agent fleets to build our own products, and we build yours the same way. You own what we ship: your code, your repo.
We transition your team.
We take a team that uses AI as a copilot and turn it into a team that runs agents as operators, in production. On your existing environment, your standards, your stack. We augment your devs; we do not replace them.
How we work: forward-deployed
We work inside your codebase, with your people. That is what forward-deployed means here. A good engagement leaves you independent of us. Most consulting is priced the other way round.
One of our engineers joins your team: your repos, your stack, your review culture. Half senior engineer, half consultant. We scope the real problem with your developers and your CTO before anything gets built.
We install Niwa and the agentic operating model on your repositories and standards. Tickets with criteria, agents on their own branches, a separate reviewer, and a gate before anything merges. Your controls stay where they are.
Your developers run it day to day and your leads can coach the next person. Then we leave. If you still need us in six months to keep the agents running, we did it wrong.
Niwa accompanied pilotYou can start with a two-month accompanied pilot of Niwa: we set it up with your team on your repos. If you keep Niwa afterwards, the pilot's cost is deducted. Scope and price on a 30-minute call.
Book a 30-min callThe paid, fixed-scope assessment in your real repo.
you leave with: the plan is yours to keep
detailsAgent workflows and the layer under them, built on your repo.
you leave with: in your repo, in production
detailsYour developers brought up to operator level.
you leave with: your team runs it after, no lock-in
detailsengage one stage or the whole path: engagements · our approach
You bought the seats. Your devs have Claude Code. It autocompletes, it answers, it's a better search.
You can tell that's maybe 10% of what this is, you keep seeing demos of AI doing far more.
None of it survives contact with your real codebase, your real standards, your real review culture.
It isn't a license problem or a model problem. It's an operating problem.
How do you make agents reliable, cheap, and trustworthy on a real codebase, without breaking what works or scaring the people who built it. That gap is what we do.
This isn't about cheaper. It's about prod-grade output and a far more capable team than the one you already trust.
Two minutes, no login. See where your team sits between AI copilot and operator, and the one gap to close first. You keep the read; there's no sales call to get it.
Tell us what you ship and where AI keeps stalling. We'll tell you straight whether we can help, and which door fits.