Business problems, solved with technology.

One team that starts at the problem, owns the outcome, and hands you everything it builds.

Book a discovery call See what we build
A laptop opening in a dark room, its screen casting a warm ember glow across the desk

Capabilities

Product & design.

The interface, designed beside the engine rather than after it.

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A hand sketching an interface wireframe on paper with an orange pen

Software & data.

Platforms and pipelines shaped around how you actually operate.

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Seen from above, a person sketches a system flow on a notepad beside sticky notes and a keyboard
The difference

Problem first. Code second.

A dev shop builds what the ticket says. We solve the problem it was written for.

Most of the value sits in the questions asked before anyone opens an editor. What is genuinely costing you money? Which part of it can technology move? What does the smallest honest version of the answer look like?

We own the outcome end to end, we say so when something is a bad idea, and we build the version that survives production rather than the version that demos well.

See how we work

A different kind of partner.

Where a typical shop stops, and where we keep going.

How a typical dev shop compares with Zovrel
A typical dev shopZovrel
Takes the spec at face valueInterrogates the problem first
Bills hours to a backlogCommits to an outcome
Hands over at deploymentStays through the results
Sells the fashionable answerRecommends the right one
Keeps the keysHands you everything

Zovrel at a glance

8disciplines, one accountable team

1–3wksfor a fixed-price feasibility study

6–16wksfor a typical project build

100%of the code and models are yours

Process

From idea to results.

You always know which stage we're in, what comes out of it, and what it costs.

STAGEDURATION 01 DISCOVERY1 CALL 02 FEASIBILITY1–3 WKS 03 DESIGN2–4 WKS 04 BUILD4–12 WKS 05 MEASUREONGOING SCOPEBUILDLIVE

Written scope is agreed before the build begins.

Stage 1

Discovery

A conversation about your business, not about technology. What's costing you time or revenue, what you've already tried, and what a good outcome looks like, written as a number we can both point at.

Output: problem definition

Stage 2

Feasibility & scope

We look at your data and systems, then come back with an honest answer: what's possible, what isn't, what it costs, and whether it's worth doing at all. Some engagements rightly end here, and that's a good outcome too.

Output: written scope & milestones

Stage 3

Design & prototype

Interfaces, architecture and a working proof on your real data. You see the thing early, while changing direction is still cheap.

Output: designs & working proof

Stage 4

Build & deploy

Production engineering in reviewable increments: tested, containerised, monitored, documented, and shipped to infrastructure that belongs to you.

Output: live system & handover

Stage 5

Measure & improve

We watch the metric we agreed in stage one. Models drift and businesses change, and the first version is rarely the best one, so we keep tuning it.

Output: measured results

A dim study lit by a single table lamp, a laptop open on the desk

Yours from the first commit.

Every engagement carries the same four commitments.

You own everything

Code, models, infrastructure and documentation are yours, in your accounts, from the very first commit.

Fixed written scope

Milestones and cost agreed on paper before a build starts. No open-ended hourly drift, ever.

Direct to the engineers

You speak with the people building it, never an account manager relaying messages between rooms.

Support after launch

Every build ships with a support window and a handover your own team can genuinely work from.

Stack

Mature tools, chosen for the job.

We pick what your team can maintain long after we're gone, even when that's less fashionable.

Talk through yours

Machine learning

  • Python
  • PyTorch
  • TensorFlow
  • OpenCV
  • pandas
  • scikit-learn
  • XGBoost

AI agents & workflows

  • LangChain
  • LangGraph
  • Claude
  • OpenAI
  • Hugging Face
  • n8n
  • Zapier
  • Airflow
  • Celery
  • Vector DBs

Web & mobile

  • JavaScript
  • TypeScript
  • React
  • Next.js
  • Vue
  • Node.js
  • Laravel
  • PHP
  • Tailwind
  • Flutter
  • Swift
  • Kotlin

Cloud, data & ops

  • AWS
  • Google Cloud
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions
  • Nginx
  • Grafana
  • PostgreSQL
  • MongoDB
  • Redis
  • Kafka
  • Elasticsearch
  • Supabase
  • Figma

Before you book the call.

A dev shop builds the specification you hand them. We start from the business problem, work out whether technology is genuinely the right answer, then own the outcome: design, build, deployment, and the results afterwards. If the honest answer is that you don't need what you asked for, you'll hear it from us.

No. We solve business problems with technology, and often the right answer is clean data plumbing, a better internal tool, or infrastructure that stops falling over, rather than a model. Roughly as many engagements begin with data and systems work as with machine learning.

With a discovery call. It's a conversation about the problem, the constraints, and what success actually looks like. If we're a good fit, you get a written scope with milestones and a fixed commercial shape before a line of code is written. The call itself carries no obligation.

You do, completely, from the first commit. We build in your repositories and deploy to your cloud accounts wherever possible, and every engagement ends with documentation written for whoever maintains it next, including if that turns out not to be us.

More than most teams admit. A model nobody trusts or knows how to operate produces no value at all. We design the interface, the workflow and the explanation alongside the engine, so the people who use it every day actually can.

Engagements run from a short feasibility study or architecture review through to building and operating a full system. If a two-week investigation is what you need to make a confident decision, that's a perfectly good place to start.

Tell us what you're solving.

One call, no pitch deck. An honest answer on whether technology solves it, and whether we're the right people to build it.

Book a discovery call