Custom software studio

Kemsoft designs, builds, ships, and runs production software — web, mobile, desktop, and the cloud infrastructure underneath it. One team from the first sketch to the live deploy, and every release after that.

  • You talk to the engineer building it
  • You see it running before it's finished
  • Take it in-house, or let us run it

What we build

Whole systems, not slices of one.

Most software problems don't stay inside one discipline. An app needs a backend; a backend needs somewhere to run; the thing that runs needs to keep running. Kemsoft covers the whole stack so nothing falls in the gaps between vendors.

Web applications

From a fast public site to the internal platform your team lives in all day. Single-page apps, dashboards, storefronts, admin tools — built to stay quick as they grow.

Mobile apps

Native iOS and Android, or one cross-platform codebase when that's the better trade. Delivered through automated build and release pipelines, all the way into the stores.

Desktop software

Native macOS and Windows applications for the work a browser tab can't reach — hardware access, background services, always-on utilities, and tools built for one specific job.

APIs & backends

The half nobody sees and nothing works without: data models, services, authentication, third-party integrations, and the jobs that quietly run at three in the morning.

Cloud & delivery

AWS infrastructure defined in code, continuous build and deploy, certificates, monitoring, backups. A release becomes a push, and a bad release becomes a rollback.

AI & automation

Language-model features inside your product, and agent-driven automation around your business. Applied where there's a measurable payback — not because it's on the roadmap.

AI, two ways

Build it in — or work out whether you should.

Most businesses aren't short of AI ideas. They're short of an honest read on which ones pay for themselves. Kemsoft does both halves: the advice about where it fits, and the engineering that puts it there.

AI consulting

Work out whether you should

A short, senior engagement that ends in a recommendation you can act on — including the recommendation not to build something. No implementation commitment attached.

  • Opportunity assessment Where AI would actually save time or money in your operation, and where it plainly wouldn't.
  • Feasibility and build-vs-buy Whether to build it, buy it, or wait, and what it costs to run at your volume.
  • Architecture and tooling Model choice, data flow, evaluation, and where a human stays in the loop.
  • Team enablement Getting your existing developers productive with AI tooling, with sensible guardrails around your code and data.

AI engineering

Build it in

Once the case is clear, the same team builds it. AI features are still software: they need data, tests, error handling, cost ceilings, and a way to tell whether they're working.

  • Language-model features inside your product — search, drafting, extraction, classification, support
  • Agent-driven automation around the business, wired into the systems you already run
  • Evaluation and monitoring, so quality is measured rather than assumed
  • Cost, latency and privacy budgets set before launch, not discovered on the first invoice
Honest by default. Plenty of processes are better served by a spreadsheet, a script, or a rewritten form. If that's the answer for you, that's the answer you'll get — it's cheaper for you and it keeps the projects we do take worth doing.

End to end

Idea to running system, without a handoff.

Every seam between vendors is a place work gets dropped. Kemsoft carries a project through all five stages, so the person who designed the architecture is the person who deploys it.

01

Discover

Understand the business problem before the software problem. Scope, constraints, and an honest picture of what it will take.

02

Design

Architecture and interface decided together, while the shape of the system is still cheap to change.

03

Build

Working software in weeks. You watch it grow instead of waiting on a document that describes it.

04

Ship

Automated builds, real environments, store submissions, DNS and certificates. Launch is a checklist, not an event.

05

Run

Monitoring, updates, and the next version. Software that isn't maintained is software that's quietly decaying.

Ways to work together

Three starting points.

Most projects arrive as one of these. If yours doesn't fit neatly, that's a normal conversation to have.

01 — Zero to one

Build something new

An idea, a spreadsheet that has outgrown itself, or a manual process eating a day a week. We take it from nothing to a product in production.

  • Scoping and architecture from the start
  • A usable version early, then iterations
  • Launched, hosted, and documented

03 — Added capacity

Extend your team

You have engineers and a backlog that keeps winning. We take a whole slice — a feature, a service, a migration — and hand it back finished.

  • Owns a scope, not a ticket queue
  • Works in your repo and your conventions
  • Leaves behind work your team can maintain

How we work

The parts that actually decide how a project goes.

You talk to the person writing the code

No account manager relaying your requirements to someone you never meet. Questions get answered by whoever will implement the answer.

Ship early, then keep shipping

Something real and running in the first weeks. Direction is easier to correct against software you can click than against a document you have to imagine.

Boring where it counts

Proven, well-supported technology for the core of a system. Newer tools where they measurably win. Nothing chosen because it was interesting that quarter.

Nothing is a black box

Some clients take the code in-house and run it themselves. Most of ours would rather we keep hosting it, running it, and shipping the next version. Either way the work is documented well enough that another engineer could pick it up — how we work together is a choice you make, not a position you end up stuck in.

Estimates you can plan around

Scope is agreed before the work starts, and when something changes you hear about it while there's still time to decide, not at the end.

Working tools

The stack, honestly listed.

What we reach for most. The right answer for your project is decided after we understand it, not before.

  • TypeScript
  • Angular
  • Node.js
  • Swift
  • Kotlin
  • Flutter
  • Ruby on Rails
  • Python
  • .NET
  • PostgreSQL
  • MySQL
  • MongoDB
  • AWS
  • Terraform
  • Docker
  • CI/CD pipelines
  • LLM APIs
  • Agent tooling

Frameworks turn over every few years. Knowing which one fits the problem — and when the right move is not to switch — is the part you're actually hiring.

Tell us what you're trying to build.

A rough idea is enough to start. If it isn't something we should take on, we'll say so and point you somewhere better.

Helpful to include: what the software should do, who will use it, anything that exists today, and roughly when you'd like it live.