Private Deployment
Private AI deployment for regulated enterprises.
Keep your data behind your firewall. We deploy full AI workflow systems inside your VPC, on-premise, or in a dedicated managed cloud.
What is Dotnitron? Dotnitron is an applied AI company that helps enterprises turn proven AI models, third-party AI services, and internal data systems into secure production workflows. We are not a foundation model company; we evaluate, integrate, and operationalize best-fit AI technologies.
Why public SaaS AI tools are blocked by InfoSec
For confidential due diligence, regulatory compliance, and legal workflows, sending unstructured data to a multi-tenant public SaaS API is a catastrophic risk. We bring the AI directly to your data perimeter.
VPC and On-Premise Deployment
We package our workflow layers (InsightGale, SemeLabs, Pelestra) into Docker containers orchestrated by Kubernetes. We deploy directly into your existing AWS/Azure/GCP Virtual Private Cloud (VPC) or onto your bare-metal servers. No outbound internet access is required.
Security controls and identity integration
Every deployment integrates seamlessly with your enterprise Identity Provider (Okta, Entra ID) via SAML/OIDC. We enforce strict RBAC, encrypt data at rest (AES-256) using Customer Managed Keys (CMK), and encrypt all data in transit (TLS 1.3).
Self-hosted open-source model integration
If your compliance requires zero data leaving your servers, we deploy and optimize open-source models (like Llama 3 or Mistral) using high-performance inference servers (vLLM, TensorRT-LLM) directly on your internal GPU infrastructure.
FAQ
Frequently asked questions
What is private AI deployment?
Private AI deployment involves hosting AI models, data processing pipelines, and applications within an isolated environment (like a VPC or on-premise servers) to ensure complete data sovereignty and prevent unauthorized external access.
Do we need specialized hardware for on-premise deployment?
Depending on the models used, GPU infrastructure may be required. We work with your IT team to specify the necessary hardware or design architectures that leverage CPU-optimized models where appropriate.
Ready to move beyond AI pilots?
Talk to an applied AI team that ships secure workflows for regulated enterprises.