The Agentic Engineering Company
AI transformation for engineering teams
We train your people, build AI into your systems and work inside your teams. Every change is measured for cost and quality on your own data.
Cheaper and at least as good, or it doesn't ship
With you at every stage
- 01Adopt
- 02Measure
- 03Automate
- 04Specialise
- 05Own
Our team has built software and production AI for
Our approach
We put AI to work in the business you already run
No rewrite and no new platform. Engineering work, tested and handed over.
All servicesTraining and enablement
Hands-on training on your own work, so your teams use AI every day. In English, German or Polish.
AI agents and models
Agents and models built into the systems you already run, tested before they go live.
Coding agentsAI agents and process automationCustom model training
Engineers in your teams
Our engineers join your teams part-time or for longer and build with you, from infrastructure to AI products.
A baseline first, then every change tested on your own data before it ships.
Our flagship
Coding agents that cost less and ship better code
We roll out, tune and run coding agents for your engineering teams, measured on replays of work you have already merged.
Works with
LLM cost optimisation
Spend by team and task, then budgets, defaults and routing.
Harness engineering
Context, checks and review rules that make agents reliable.
Coding agent adoption
One shared setup and training on real tickets.
Evaluations on your repositories
Replays of merged changes before you switch tools or models.
The problem
You've got AI. You don't have the numbers
You bought the licences
Some teams use them daily, others barely. Nobody can say what changed.
02The bill grows every month
Nobody can say which team, tool or task is behind it.
03Review can't keep up
Agents open more pull requests than people can check properly.
04Cases still move by hand
Between inboxes, PDFs and systems, one copy and paste at a time.
05The pilot never went live
Without a test set and sign-off, nobody trusts it with real cases.
06One task runs on the most expensive model
A small trained model can do the same job for a fraction of the cost.
We measure it first. Then we fix it
Talk to an engineerHow we work
Engineers who work inside your teams
Your tickets. Your repositories. Your rules
Part-time or placed for longer, with training on real tasks in English, German or Polish.
How an engagement runsCheaper and at least as good, or it doesn't ship
Every change is tested on your past work first.
Improved, not replaced
We work in the codebases and systems you already have.
First project
How a first project runs
- 01
Measure
A baseline of cost and quality from your past work.
- 02
Build
Changes one at a time, each tested against the baseline.
- 03
Hand over
Code, test sets and runbooks your team can run without us.
Coding agents: cost per finished task
Before and after a change to the setup
€62000 to €49000 a month
Rework 11% to 10%
Example with synthetic data.
Measured on your data, reported in euros
Testing
Tested on your own data before it ships
Coding agents
Replays of changes your team has already merged.
Process agents
Past cases with known outcomes.
Custom models
Cases the model was never trained on.
Clients
What clients say
“They were embedded in our team, which was really effective.”
“We are impressed with their engineers' high-quality work.”
“Their responsiveness, friendliness, and successful project delivery were top-notch!”
Team
The people behind the work
Mickey GrafFounder and CEO
Maximilian LehmannCo-founder and COO- 01
Your environment, your rules
Every data flow is agreed with you before work starts.
- 02
A data processing agreement in every contract
With the documentation your data protection team needs.
- 03
Teams and tasks, never individuals
Works council requirements are handled before anything goes live.
- 04
Everything we build stays yours
Code, test sets and runbooks, written for your team to run.
From the founder
Models get cheaper every quarter. Running them well doesn't
New models arrive every few months. Whether they pay off depends on the work around them: context, checks, routing and measurement. That is the work we do.
Mickey GrafFounder and CEO
Ask AI for a summary of Cloudsail
Pick a topic and open it in your assistant.
Summarise what Cloudsail (cloudsail.com) does, which services it offers and how a first project with them runs.
FAQ
Common questions
What does AI transformation mean at Cloudsail?
Three layers, measured on your own data: your people trained on their real work, AI agents and models built into your systems, and our engineers in your teams until you run it yourselves.
Where do we start?
Where AI already costs money or where work still moves by hand. We measure that first, and the first project answers one clear question.
What does a first project look like?
One process, team or model, with the measures agreed before we start. We take a baseline, make changes one at a time, test each against it, and hand over the setup with training.
Are you consultants or engineers?
Engineers. The people who scope your project build it with your team and hand it over.
Will this work with our existing codebase and systems?
Yes. We work in the repositories, tools and processes you already have, without a rewrite or a new platform.
We already pay for Copilot, Cursor or Claude Code. Why has nothing changed?
Licences help individuals. Results come from the setup around them: the context agents see, the checks before merge, budgets and routing, and training on real tickets. That is the part we set up.
Do your agents decide on their own?
Only within limits you set. Each agent starts by preparing work for a person to decide, and takes on more only after you have reviewed its results with us.
Which models and tools do you use?
Whichever suit the task: commercial models such as Claude, GPT or Gemini, open-weight models on your own hardware, and the coding agents your teams already have.
Can everything run on our servers?
Yes, for agents, test sets and open-weight models. Commercial models run only through data flows you have approved.
Who handles data protection and the works council?
We handle your works council's requirements before anything goes live, and prepare the documentation your data protection team needs.
What does it cost?
It depends on the scope and the size of your teams. You get a written proposal after the first call, and the first conversation is free.
What if a change doesn't pay off?
Then we leave it out. You keep the test set and the measurements either way.
The AI is bought. Now make it pay off
Bring one piece of work. 30 minutes with an engineer, no access to your systems needed.
Look for the draft in your email program
Send it from there, and an engineer replies in person with times for a 30-minute call. If no draft has opened, write to us at miki@cloudsail.com.