Strategy
We assess where your team actually is (not where the demos say it is), find the highest-impact agent workflows for your codebase, and set a realistic path from copilot to operator. Honest about what AI won't fix.
Consulting
We turn your dev team into agentic operators.
Your team has AI as a copilot. tsukumo transitions them to running agents as operators in production, on your existing environment, your standards, your stack. We augment your developers; we do not replace them. The craft stays theirs, the output gets much bigger.
0104the three steps
Implementation
We build the agent workflows and the supporting layer (context, orchestration, observability) on your repo, in production, with your controls intact. Real work, measured, not a sandbox.
Training
We bring your developers up to operator level, so the capability stays with your team when we leave. The goal is independence, not a dependency on us.
0204what makes this different
Augment, never replace
Your devs become the operators. The honest position, and the one that works: a good dev running good agents beats either alone.
Respect the environment
We transition the team you have, on the stack you have. No rip-and-replace, no greenfield fantasy.
We're developers
We've shipped AI to production and felt every failure mode. We understand devs because we are devs.
0304who this is for
a fit
CTOs at startups and scale-ups whose teams use AI as autocomplete and can feel there's a larger capability they haven't reached, who want their developers stronger, not sidelined.
not a fit
If you believe AI is easy, that buying licenses equals capability, or that the point is to ship the same thing cheaper, we're not the right fit. Seats are not capability. This is about prod-grade and roughly 10x the output of the team you already trust.
0405honest answers
Straight answers.
- Isn't AI easy now? We already have the seats.
- Seats give your team a copilot, autocomplete and Q&A in the editor. That's real, and it's about 10% of what these models can do. The other 90%, agents running real work reliably in production, is an operating problem (context, orchestration, observability, trained operators), and none of it comes in the license. The "AI is easy" feeling is exactly the gap between a demo and production. If it were easy, your team would already be there.
- Isn't the point of AI to ship cheaper?
- No, and if cheaper is the goal we're not the right fit. The point is prod-grade output and roughly 10x from the team you already trust. We're not here to shrink your team or your budget; we're here to make a good team dramatically more capable. Teams that chase "cheaper" tend to ship more mediocre work faster, which is not the same thing.
- Will you replace our developers?
- No. Our entire model is the opposite: your developers become the agentic operators. We augment them. A good developer running good agents beats either one alone, and a team that fears being replaced will never push the tools to their limit. We make your devs stronger and far more productive, not redundant.
- Why you, and not a freelancer or a big consultancy?
- A freelancer can write you some prompts; they rarely run agent fleets in production or transfer a durable capability to your whole team. A big consultancy will sell you a slide-heavy "AI transformation" by people who haven't shipped it. We're a small studio of developers who run this in production on our own products. You get builders who've done the thing, working on your real codebase, leaving your team able to keep going without us.
- Do you respect our existing environment, or do we start over?
- We respect it. We transition the team and stack you have, inside your conventions and controls. The whole point is to upgrade how your existing system works, not to replace it with ours.
0505talk to us
want us to build it instead? studio is the same capability