01 · PERSONAS
13 advisors aligned with Conway's Law
Each AI agent is a specialist tied to a bounded context (DDD, product, business, tech). Formal scope, never autonomous decision-makers. The organization drives the AI, not the other way around.
Describe your software or AI need.
Our autonomous organisation builds the solution with you.
Start with the software you need today, add the next ones later. They share the same data, so you stop paying for, connecting and monitoring 10 different tools.
We are still refining our virtual organisation. We already use it to deliver your projects.
- Top 1 %Code quality
- 3 kinds of appsWeb, desktop or mobile
- +1,500 toolsThe entire software lifecycle
- from €2 / moPer deployed feature
3 integrated products for the whole life cycle of your software, and to agentify your organisation
Swoft Build
Building your product and evolving it.
Swoft Business Cockpit
Understanding your product and running your day.
Swoft AI Studio
Having an AI engineer without hiring one.
You are not getting a tool. You are getting an organisation.
| Bolt.new, Lovablegénérateurs d'app IA | Claude Codeagent de code | Freelance ou salariéune personne | Swoftorganisation autonome | |
|---|---|---|---|---|
| What you have to supply yourself | Nothing to start. A developer to pick the code up afterwards. | A team of developers. It is a tool built for them, not for you. | Recruitment, a salary or a day rate, and day-to-day management. | Nothing. |
| Who changes the software six months later | You, inside their editor. Or a developer, once the code has been taken over. | Your developers. | The same person, if they are still around. | You, by asking for it in plain words. |
| Where your software exists | Web. And mobile through Expo for Bolt. | Whatever your developers write. | Whatever they know how to build. | Web, mobile and desktop |
| How long before you are in production | A demo within hours. Production depends on who picks the code up next. | However long your developers spend on it. | Hiring time, then project time. Count in months. | A few weeks, production included. |
| AI agents inside your software | Up to you to call an AI API from the generated code. | It writes your code. It does not ship inside your software. | Whatever that person knows how to build. | Declared agents, tooled and steerable, delivered with the application. |
| What stops one change from breaking another | The tests you remember to write. | The tests your developers write. | The tests that person writes. | A model that refuses an inconsistent change before producing it. |
Everything starts from your business.
- 05Actors
Humans and AI agents, same rules, same traces.
- 04Surface
REST, MCP, real-time and CLI APIs, generated together.
- 03Logic
Sagas, declarative rules, automatic compensation.
- 02Memory
Everything is kept. Everything can be replayed identically.
- 01Business model
Your domain modeled inside your system. Everything else follows.
From freelancers to enterprise.
A digital workforce that's structured and auditable.
- 02 · DECISIONS
Stored as data
Every AI action is an immutable event: reasoning, model, confidence score, prompt. Replay is guaranteed identical five years later, independent of the underlying model.
- 03 · GOVERNANCE
Dual attribution + Hard Stop
Every AI commit records who authorized and who executed. The metamodel blocks any drift between intent and code by construction, not by manual review.
Agents have hands, not just a mouth.
For two years everyone has tried to put AI to work, and everyone has stopped at the same place: it drafts beautifully, then someone has to key it all in again. That ceiling isn't AI's. It belongs to the software you bolt it onto.
An agent bolted onto your current tools
- Summarises the request
- Drafts a reply
- Suggests an amount
- Reminds you to follow up
Then it stops. The real work starts where it ends.
An agent inside your system
- Issues the quote
- Sends it to the client
- Follows up at the right moment
- Opens the job, orders the materials
- Reconciles the payment, files the document
Every action leaves a trace, under the name of whoever took it.
And your software talks to itself
- The quote is signed.
- The job is scheduled.
- The materials are ordered.
- The invoice goes out.
- The payment is reconciled.
Nobody re-keyed anything, and no connector links any of it: each fact triggers the next because your whole business shares a single memory. What that ends up forming has a name: an operating system for your organisation.
An agent is never smarter than the world you give it.
Most agentic offerings hand the agent a pile of tools and a prompt, then hope. We hand it a modelled business, and four things follow that no prompt can replace.
- 01 · Language
It speaks your language, not a database's
A quote, a job, a due date: every word of your business exists in the system with a single definition, the one your teams use. The agent has nothing to guess, and two departments cannot call two different things by the same name.
- 02 · Rules
Your rules live in the system, not in a prompt
We don't politely ask the agent to avoid terminating a contract that never started: the system refuses the move. A guardrail written into the model always holds; a sentence in a prompt can be talked around.
- 03 · Memory
Nothing is erased
Every change is a dated, preserved fact. The agent doesn't only see where a case stands, it sees what happened to it, the difference between executing and understanding a situation.
- 04 · Boundaries
The software's boundaries are your organisation's
We cut the system the way your organisation is cut: sales, operations, finance. An agent works inside one of those perimeters, a team's, not the whole company's.
Others lay a language model over existing tools. We build the world the agent works in.
This isn't an in-house method: it's Domain-Driven Design and Conway's Law, actually applied rather than name-dropped. It's the slow part, the one you can't catch up on in a quarter, and it's what makes an agent aligned with your organisation instead of bolted onto it.