Your infrastructure. Your AI. Your data.
A story in four chapters about taking back control of your information system — and your artificial intelligence.
Every day, your documents, your e-mails and your production data flow through platforms you do not control.
Public cloud by default, public AI with no guardrails, backups never tested. There is another way: taking it back, piece by piece. It fits in four chapters.
A cloud of your own,
installed on your premises.
Physical servers, virtualization, containers: deployed on your premises, in a datacenter or in a dedicated environment. No forced dependency on a public cloud.
Applications, files, databases and AI models remain under your governance: storage, backups, replication and data life cycle, managed within your environment.
Environment not publicly exposed, filtered Internet egress, occasional access or full air-gap: the isolation level adapts to your confidentiality and operating constraints.
The day everything stops, you restart.
Your critical services are replicated to a second site or a standby environment, with immutable backups and a defined RPO: the maximum amount of data at risk is known, measured, controlled.
Hardware failure, cyberattack, human error. Scenarios are planned, procedures documented, and the DRP is actually tested — not just the backups.
Recovery objective down to 30 minutes for explicitly covered critical services, depending on the chosen architecture and the SLA terms.
An AI that works on your premises,
for your business.
An AI specialized in your business, connected to your documents, your databases, your CRM, your ERP and your internal APIs — running locally, without sending your confidential information to a public platform.
Document search with cited sources, invoice and form extraction, quote and report generation, e-mail triage, actions inside your business software.
Request and source logging, least privilege on connectors, human approval for sensitive decisions. A governed AI, not a black box.
While you sleep,
someone keeps watch.
Response, diagnosis, workaround, restoration: every deadline is defined, measured and reported. The covered perimeter is contractual.
In most cases, it costs less.
Taking back control is not a luxury: an unoptimized public cloud and pay-per-request AI cost more, every month, with no end.
The comparative costing is produced during the assessment, on your actual volumes and usage.
Six steps, from scoping to operations.
A path in three stages.
Map of the existing setup, risk and RTO/RPO analysis, three priority AI use cases, target architecture and roadmap.
Private platform deployment, tiered recovery plan down to 30 minutes, AI prototype then move to production.
Full operations under SLA: monitoring, on-call, backups, updates and continuous enrichment of AI workflows.
Every engagement is sized on your context: users, criticality, volumes, on-call level. Full details of the five offers on the classic version of the site.
Not everything fits in boxes. Good.
AI alone, infrastructure alone, team reinforcement or technical leadership: we assemble the answer to your situation — not the other way around.
Assistants, agents and automations plugged into your current tools — no infrastructure overhaul.
Private cloud, DRP, monitoring and managed services — without an AI component if you have no use for it.
A senior part-time CTO for your structuring choices, your roadmap and your recruitments.
Dedicated engineers, embedded in your projects, scaling up and down as needed.
Specialization and fine-tuning on your data, when the use case justifies a measurable gain.
That is often where we are at our best. Bring it, we build with you.
Throw down the challenge →Take back control.
Packaged offer or custom challenge: a first 30-minute conversation is enough to scope your need — business recovery, AI use cases, team reinforcement or technical leadership.
More details on our classic site