People first · technology second
Shaper OS: the OS, then your tool
Shaper OS provides the technical foundation. On it we shape a bespoke tool for your business (customer management, inventory, e-commerce, back-office) allowing you to run operations day to day with complete autonomy. It is a sovereign infrastructure engineered to maintain business continuity during incidents and guarantee full recovery. Technical complexity recedes for users while remaining fully inspectable for architects.
Two profiles, one architecture
Business owner or technical lead: consult the perspective aligned with your operational priorities.
Day-to-day business operations
You want to steer your business, clients, and workflows without managing server infrastructure. The core is deployed and tailored to your business processes for immediate use.
Technical architecture & governance
Containerized execution, access controls, AI model topology, backup strategy, and disaster recovery. Comprehensive specifications in the “under the hood” section.
5 levels of understanding: from the idea to the vision
Anyone can approach SHAPER OS at their own level of requirement: from simple automation needs to multi-tier fractal architectures.
Controlled autonomy
SHAPER OS allows computer systems to operate autonomously. AI agents observe what is happening, execute tasks, and resolve issues without human intervention. The human retains control whenever an action exceeds authorized boundaries.
Autonomous universes
Infrastructure transforms into a collection of autonomous spaces called "universes". Each universe has its services, agents, rules, dependencies, and context. It processes asynchronously, monitors its health, and alerts a human when decisions arise.
Declarative orchestration
A declarative orchestration layer for agentic environments. Architecture is described by topology, dependencies, and rules. SHAPER materializes this intent into running services, managing boot order, lifecycle, processing queues, and automated validation.
Unit of responsibility & parent supervision
The universe is the discrete unit of execution and responsibility. The agent repairs its perimeter within authority; exceeding issues escalate to the parent. The parent creates an ephemeral dev/test sandbox, heals cold, verifies 100% tests with zero regression, then promotes to prod.
Recursive fractal architecture
A universe can contain other universes (Brick → Universe → Parent Universe → Host → Fleet). Every tier applies the same invariant cycle: intent → materialization → execution → observation → proof → repair → validation → promotion. Infrastructure self-maintains sovereignly.
Concrete case: a fractal SaaS for managing online stores
How the exact same recursive mechanics orchestrate one shop, a fleet of fifty, then an entire multi-tenant platform. The foundation is public and verifiable; the business brick is shaped for you.
The store agent: autonomous in its frame
The shop owner asks: “Update my products”, “Analyse my errors”, “Stage the next version”. The agent knows its own shop’s environment, whatever technology runs it, its tools and its limits. A risky action, or one beyond its frame, is escalated to the parent.
Managing 50 stores: parent universe
A client owns 10, 50, or 500 stores. The manager universe supervises its child universes: observing aggregate health, receiving alerts, and intervening cold whenever a fault exceeds a store’s local authority.
Multi-tenant SaaS: grandparent universe
The SaaS platform hosts multiple clients, each with multiple stores. The SaaS manages client universes with the exact same mechanics. Structure and governance rules repeat identically across every scale.
One single architecture, all technologies
A packaged shop, a hosted service, or a bespoke application: we do not build one fragmented system per technology. SHAPER provides the common frame and the conventions; each universe brings its own specialisation. The public foundation deliberately ships no third-party product, which is precisely what lets it carry any of them.
What it is, and what it is not
A pillar, then your trade
The same core serves a tradesperson, an SME, an association. What changes is the tool shaped on top: follow-ups, stock, shop, members, planning.
An assistant connected to your data
An AI agent wired to your operational context can perform business tasks: classify, follow up, prepare, notify. Interfaces adapt directly to your workflows.
Not one cloud, not one model
We determine with you where data resides: cloud provider, hybrid, or on-premises. A local model is deployed whenever requirements dictate. Architectural choices are driven by your operational constraints.
You stay the owner
The tool is yours. We can run it for you, or hand it over. Shaping is the method; Shaper OS is the pillar.
Business continuity and modular resilience
Business continuity ensures your operations remain uninterrupted during updates, and that your data is fully preserved throughout system evolutions. Resilience relies on five complementary backup tiers: the host machine, persistent volumes, transactional databases, versioned source code, and an off-site encrypted replica.
Rebuilding from zero: verified recovery, not a promise
In the event of a major incident or total machine loss, Disaster Recovery (DR) allows reconstructing the entire system and restoring your data on a fresh environment. This capability is regularly proven on clean machines, after which test sandboxes are destroyed to prevent false positives.
Recovery time depends directly on your infrastructure reality: image availability, network throughput, and above all, your actual data volume. The architecture is engineered to bring the core up immediately and restore data in an orderly fashion, without shortcuts or arbitrary theoretical SLAs.
Under the hood: for those who want to know or understand the engine
This section describes the technical side: where the code runs, who accesses what, which AI models, backups and recovery. An owner can skip it. A CIO or CTO should be able to read it without a meeting.
Runtime contract
Standardized Linux and containerization (Podman). Deployable on cloud servers, VPS, on-premises hardware, or an isolated Linux workstation. Operations can be fully managed by us or handled by your team.
Model and agent independence
No model is named in the architecture: a rule that cites a model expires with it. Each task declares what it requires (reasoning depth, throughput, how far back it must see) and what to do when nothing satisfies it. At deployment, the engines actually reachable from your server are measured, then the choice runs on two cursors, cost and performance: dominated engines (more expensive AND worse) are discarded outright, and your universe declares its priority, frugal, swift, or under a cost ceiling. Public rankings are advisory; measurement decides. When the model landscape shifts, your infrastructure does not.
Case 1: images already cached
Container images are already present (local cache or registry). Deploying the technical foundation is near-instant, before the data restoration phase.
Case 2: images pulled or rebuilt
Fresh machine or remote registry: fetching and building containers scales with network bandwidth and compute capacity prior to launch.
Case 3: restoring business data
Once the core is running, databases and encrypted volumes are restored. This phase is strictly proportional to your actual data volume (MBs, GBs, or TBs).
Five backup levels
Entire container (infra); persistent volumes as a compressed archive (turbinobash spirit, adapted to Podman, cache excluded); database dumps; tagged git (code, not your files); encrypted off-site copy (S3 / R2). All five together are enough.
GDPR compliance and sovereignty
Deploying local models enables processing sensitive data without third-party transit. Compliance is grounded in traffic isolation, audit logging, and transparent qualification of technical processors.
Nothing of yours is published
The repository contains no domain, no key, no account, no mailbox. Another company can clone it and deploy under its own name and domain by changing environment values only, never a file. This is not an intention: a test refuses publication if an address, an identifier or a secret reappears anywhere.
Documentation AI agents can execute
The repository addresses two readers. Humans climb by level, from owner to architect. AI agents are routed by capability: powerful models get the principles everything derives from, fast models get literal steps and explicit stopping points. The documentation is itself put to the test: an agent that has never seen the system must be able to act without a human explaining anything. Otherwise, the documentation is what is at fault.
Public repository and verification
The installation kit and architectural conventions are public: the system’s law can be read and verified before any commitment.
The public proof
The Shaper OS V1.13 GitHub kit: clone, install, and a system law (49 rules) you can audit before entrusting us with anything. What it forbids is checked by tests, not merely written. The version log tells how it was put to the proof.
Frequently asked
- Do I need to understand IT to use it?
- No. You talk about your trade; we shape the tool. The technical section above is for those who want to inspect, not an entry requirement.
- Is this like Claude Cowork or a WhatsApp agent?
- No. Those tools are agents. Shaper OS is the activity system: your business tool on top, continuity, recovery, isolation. We can deliver an isolated Linux workstation; it is not a sandbox folder at a vendor.
- Where does it actually run?
- On a Linux machine: yours, ours, or an isolated Linux we deliver. Cloud is not forbidden: it is a cursor, not a religion. The sovereignty detail is on the AI page.
Curious whether this is for you?
Owner or CIO: we talk about your activity first, not the tech. Thirty minutes to see if the subject resonates, no strings, and what comes next is decided together.