San Francisco, CA · Working globally
Engineering startup — 2026
KAZES.studio designs, builds and deploys software, AI systems and hardware — inside your repositories, inside your release process, and handed over documented so your team can run all of it without us.
Direct
contact@kazes.studio01 / Engineering capabilities
Most problems we are handed cross at least two of these, so we staff across the stack rather than handing you off at the seam. Each row below opens into the detail of what that discipline actually covers.
Embedded engineers work directly with your team to understand operational challenges, build tailored solutions, integrate with existing systems, and deploy into real-world environments.
Design and implement intelligent software systems that solve real operational problems — evaluated, monitored, and reliable enough to depend on.
Bridge the gap between digital systems and the physical world through custom hardware, firmware, and integrated device engineering.
02 / How we work
Discovery happens while engineering is already underway, and deployment is a stage rather than an afterthought. The rail below is the shape of every engagement.
Understand the business context, technical constraints, users, and desired outcome.
constraints / users / success criteria
Develop the architecture, define the implementation plan, and validate critical assumptions.
architecture / plan / risk register
Work directly with your team to engineer, integrate, test, and refine the solution.
integration / CI / review
Ship working systems, document the implementation, and support iteration and handover.
monitoring / runbooks / handover
03 / Selected work
About these examples. They are concept studies written to demonstrate the depth and shape of our engineering — not client engagements. We publish them rather than padding this page with anonymised logos, and we replace them with verified work as it is cleared for release.
6 projects in total, each with architecture, stack and constraint detail.
04 / Engineering philosophy
Distance is expensive. It shows up as a recommendation nobody can implement, a system that does not match how the work is actually done, and a handover nobody is ready for. We stay close instead — to the code, to the operations, and to the people who will run what we build.
System map
One team, from silicon to interface.
The disciplines overlap. A latency problem is usually a data problem is usually a firmware problem. We staff so that question has one owner.
Hardware · Infrastructure · Intelligence · Software
We work with the people who own the problem, not a proxy for them. Engineers talk to operators, and decisions get made by the team that will live with them.
A working slice in your environment beats a complete proposal. We would rather show you something running on Monday than something perfect in a month.
We design for the team that maintains it two years from now — a team we will probably never meet. That constraint does most of the work for you.
Short cycles and direct reporting. If something is not working we say so early, when it is still cheap to change.
Documented decisions, runbooks, and a working handover conversation. Leaving your team able to operate what we built is part of the deliverable.
05 / Before you enquire
If your question is not here, ask it directly. We would rather have the awkward conversation early than three weeks into an engagement.
Ask us somethingWe are an engineering startup in San Francisco. We embed senior engineers into teams that have a hard technical problem and need it solved properly — software platforms, AI systems, or hardware and embedded. We work inside your repositories and your release process, so what we build stays yours.
06 / Ways to work together
Every engagement is scoped around a technical objective. We do not publish fixed pricing because the cost depends on the problem, not on a rate card.
Integrate an engineer into an existing product or engineering team.
One senior engineer, working inside your repositories, standups, and release process. Useful when the capability you need is a hybrid of platform, product, and domain knowledge that is hard to hire for and expensive to get wrong.
Best for — Teams with a clear roadmap and a specific missing capability.
Assemble a focused team around a defined technical objective.
A small, senior group assembled around one objective — an AI system, a hardware revision, a platform migration. Sized to the objective rather than padded to a headcount, and structured so the knowledge stays with you when the engagement ends.
Best for — Objectives too large for one person and too specific for a general team.
Build a scoped software, AI, or hardware solution from discovery to deployment.
A defined scope, a fixed sequence, and a defined end. Discovery, architecture, build, and deployment against agreed acceptance criteria, with documentation and handover included as part of the deliverable rather than an extra.
Best for — Known problems that need a working system, not ongoing capacity.
Assess feasibility, define architecture, and establish a practical implementation roadmap.
A short, intensive engagement for teams facing a genuine technical unknown: whether it is feasible, what it would take, and what to do first. You get an architecture, a risk register, and a roadmap — whether or not you engage us to build it.
Best for — Founders and technical leads deciding whether to commit.
Not sure which shape fits? Start with technical discovery. It is short, it is decision-oriented, and you keep the roadmap either way.
Discuss scopeTell us what you’re working on, what is getting in the way, and where you need engineering support. You will get a straight answer about whether we are the right fit.
