Deploy your AI infrastructure in 3 days, supervised by our VerAI agents
France hosting, AES-256 encryption, documented governance — and unlike public clouds, your data is neither shared between customers nor used to train a model. This isolation is contractual.
Cloud, IT services firms, self-hosting: the 3 dead ends
Why the market doesn't deliver
Sovereign cloud alone is not enough
The "France" cloud offerings from major providers host your data in France, but protect you neither from the Cloud Act nor from extraterritorial requisitions. Real isolation requires bare metal and isolated containers — not shared multi-tenant hosting.
Conventional infrastructure doesn't plan for AI
A conventional infrastructure deployment ties up engineering hours billed by the day: the budget goes into installation, not usage. And it rarely delivers what AI in production requires — agent governance, continuous supervision, access isolation.
Wildcat self-hosting is a risk
A misconfigured server at a generic host exposes your data. In 2024, 59% of French companies were hit by ransomware — the highest rate in Europe (Sophos). And 34% of victims take more than a month to recover (ANSSI).
Three levels of confidentiality — from the most common to the strictest. Data leakage isn't a promise: it becomes structurally impossible.
Private AI on private infrastructure
1. Private cloud
The model is hosted on dedicated infrastructure, isolated per customer. Data shares nothing with other organizations. Suited to everyday use, with no hardware constraints.
2. Self-hosted model
The model runs directly on your servers. No third party intervenes in the chain: data goes from your machine to the model, and back. Sending data to a provider becomes impossible by construction — not by contractual clause.
3. Fine-tuning on your data
A model tuned to your business, trained exclusively on your infrastructure. The watch-out: fine-tuning must happen at your premises. Entrusting your data to a provider to fine-tune a model would reopen the door we had just closed.
Where a conventional provider bills you for engineering hours, we deploy three AI agents supervised by a human architect. The result: faster, more reliable, documented.
A team of specialized VerAI agents at your service
VerAI DevSecOps Agent
Deployment & hardening — Audits the target config before any deployment. Applies 47 hardening rules (CIS Benchmarks). Generates infrastructure documentation automatically. Checks EU AI Act compliance before go-live.
VerAI Monitoring Agent
24/7 supervision & alerting — Monitors CPU, RAM, network, disk and services continuously. Detects behavioral anomalies (not just thresholds). Triggers automatic corrective actions. Alerts a human only on relevant signals.
VerAI Compliance Agent
GDPR, EU AI Act, DORA — Automatic mapping of data processing. Documentation generated for every AI system deployed. Full traceability: who deployed what, when, and why. Alerts on compliance gaps before an inspection.
How much capacity can you free up ?
Adjust the parameters to your situation: the estimate updates live.
Your parameters
Your results
Gains mensuels estimés — this is not a cash saving.
Le coût du projet dépend de votre périmètre : le ROI sera calculé après le cadrage.
Détail du calcul
Les résultats dépendent des hypothèses que vous avez saisies et ne constituent pas une garantie de rentabilité. Un potentiel de retour sur investissement est évalué lors du cadrage, sur vos volumes réels.
Every detail is designed for security, performance and transparency. No surprises, no forgotten configuration.
What your infrastructure includes
Proxmox • KVM • LXC virtualization
Production hypervisor with high availability, snapshots, automated backup. Live migration, templates, clones. No VMware lock-in.
Isolated Docker containers
Maximum isolation by network namespace. Each customer, each service in its own container. Docker Compose or Kubernetes orchestration if needed.
Embedded open source LLM models
Mistral, Llama, Qwen, DeepSeek — deployed on NVIDIA GPU or CPU. OpenAI-compatible API. RAG, embeddings, fine-tuning possible.
Isolated network • DMZ • VPN
Networks isolated per customer, DMZ for exposed services, WireGuard VPN for administration. Zero direct exposure of databases.
Multi-layer anti-intrusion security
CrowdSec + Fail2ban + UFW + weekly audits. Automatic banning of malicious IPs. Scheduled vulnerability scanning.
Encrypted storage • 3-2-1 backup
NVMe + SSD + HDD drives as needed. Encryption at rest (LUKS) and in transit (TLS). Automated local + remote backup. Minimum 14-day retention.
France hosting or on-premises
French datacenters (OVH, Scaleway) or on your own site. No data leaves the territory without your written agreement.
EU AI Act classification compliance
Every AI system deployed is classified by risk level (minimal, limited, high). Documentation generated automatically. Human supervision mandatory for critical decisions.
Compare point by point what we bring against the alternatives.
What sets us apart in this market
| Criterion | VerAI | Public cloud | Traditional IT services firm | Self-hosting |
|---|---|---|---|---|
| France hosting | Yes — bare metal or on-premises | Yes (shared) | Depends on the provider | Variable |
| AI agent supervision | multiple specialized VerAI AI agents | None | Billed extra | None |
| EU AI Act compliance included | Yes — auto-generated documentation | No | Optional | No |
| GPU for LLM | NVIDIA — dedicated or shared | On demand (expensive) | On request | To purchase |
| Human supervision | Mandatory validation on critical actions | None | Per contract | Yourself |
| Infra documentation | Auto-generated by our agents | Customer portal | Delivered at project end | To do yourself |
| Monthly package | On request | Pay as you go | N/A (time & materials) | Internal costs |
| Go-live | Very fast: dedicated engineering agents | A few hours | 4 to 12 weeks | 2 to 8 weeks |
Concrete implementation scenarios, based on our own deployments and our simulations. The organizations' identities are anonymized.
What we put in place
AI startup — LLM deployment in 5 days
Typical scenario: an NLP startup needed a GPU server with an isolated Mistral Large, REST API, vector database and dashboard. Our DevSecOps agent audited the needs, deployed the infra, configured monitoring. Result: 5 days instead of 3 weeks, complete documentation delivered.
Industrial SMB — 10 virtualized servers + compliance
An SMB with 120 people was moving from 3 heterogeneous physical servers to virtualized infra. VerAI agents: deployment in 4 days, data mapping + EU AI Act documentation generated automatically. Savings: -60% on the monthly bill vs their previous provider.
Law firm — Isolated legal server + JuriAI
Need: a dedicated server for their document base + the VerAI legal agent JuriAI. Strict network isolation, no external access. Deployment in 2 days. Full traceability required by their COFRAC accreditation.
Simulation interactive
Simulateur — Security · Sovereignty · 24/7 AI supervision
Sélectionnez un scénario et lancez la simulation pour voir l'agent travailler.
Un industriel traite des données de R&D sensibles. Ses modèles IA tournent chez un hyperscaler hors UE, ce qui pose un problème de souveraineté et de coût à l'échelle.
- 1
Étude d'architecture GPU
Dimensionnement des serveurs GPU, de la mémoire et du stockage adaptés aux modèles réellement utilisés.
- 2
Déploiement souverain en France
Installation des serveurs IA dans un hébergement en France, avec LLM et conteneurs maîtrisés de bout en bout.
- 3
Isolation réseau et chiffrement
Segmentation réseau des environnements IA, chiffrement au repos et en transit, contrôle strict des accès.
- 4
Exploitation et coûts pilotés
Supervision de la charge GPU, mutualisation des modèles, et suivi du coût réel par usage.
Résultat de la simulation
Lancez la simulation pour voir le résultat.
Ready to deploy AI infrastructure worthy of the name?
Our experts analyze your needs, and our VerAI agents deploy, supervise and document. You keep control while we remove the risks.