Self-Hosted Gen-AI with Data Sovereignty
Deploy an enterprise-grade, private generative AI platform within your own cloud boundary. Guarantee complete data sovereignty, eliminate per-seat SaaS subscription overhead, and achieve serverless cost efficiency that drives per-user costs down to near-zero.
Enterprise AI Power Without SaaS Lock-in or Privacy Compromise
Commercial SaaS AI tools typically charge $20 to $30 per user every month—forcing companies into costly subscription commitments while funneling sensitive corporate data through third-party multi-tenant services.
Digital Industries deploys turnkey, private generative AI solutions directly within your dedicated enterprise cloud—whether on Amazon Web Services (AWS) using AWS Bedrock and Amazon ECS Fargate, or on Microsoft Azure using Azure AI Foundry and Azure Container Apps. Powered by modern containerized architectures (OpenWebUI) and managed serverless model inference, your team gets full access to state-of-the-art foundation models with 100% data sovereignty and near-zero cost per user.
Key Architectural Capabilities
- 100% Data Sovereignty & Cloud Isolation
- Your data never leaves your private AWS Virtual Private Cloud (VPC) or Microsoft Azure Virtual Network (VNet). Private endpoints, zero-trust network policies, and isolated storage ensure user prompts, internal documents, and model outputs remain confidential and are never used to train public foundation models.
- Near-Zero Cost Per User (Pay-per-Token Serverless)
- Eliminate recurring per-seat SaaS licenses. With serverless foundation model inference via AWS Bedrock (Amazon Nova Pro, Anthropic Claude, Meta Llama) or Microsoft Azure AI Foundry (OpenAI GPT-4o, o1, Phi-4, Mistral, Llama) combined with auto-scaling serverless containers (AWS Fargate / Azure Container Apps), you only pay for compute and tokens actively consumed. For most organizations, this drives costs down to pennies per user per month.
- Advanced Retrieval-Augmented Generation (RAG)
- Ground AI responses in your company's proprietary knowledge. We integrate automated ingestion pipelines storing document embeddings in serverless vector storage (AWS S3 Vectors / Bedrock Knowledge Bases, or Azure AI Search vector indexes) with persistent cloud storage (Amazon EFS or Azure Files) for user state.
- Enterprise Single Sign-On (SSO) & Access Control
- Seamlessly authenticate users via OIDC and SAML 2.0 with Microsoft Entra ID (Azure AD), Okta, or Google Workspace. Enforce role-based access controls, granular document permissions, and comprehensive audit logging.
- Multi-Cloud Infrastructure as Code
- Fully defined and provisioned using modular AWS CDK, Terraform, and Azure Bicep templates. Automated CI/CD pipelines keep infrastructure, vector indexes, and application updates completely synchronized.
Why Organizations Choose Self-Hosted Sovereignty
- Extreme Cost Reduction: Save up to 90% annually compared to enterprise seats for hundreds or thousands of employees.
- Compliance Ready: Fully compatible with HIPAA, SOC 2, GDPR, and strict internal compliance mandates via end-to-end encryption in transit (ACM TLS) and at rest (AWS KMS).
- Effortless Scalability: Serverless autoscaling handles growth from a 10-person boutique firm to an enterprise with tens of thousands of users without manual reconfiguration.
Take complete control of your generative AI roadmap. Let us deploy a dedicated, high-performance private AI environment tailored specifically to your organization's security and budgetary standards.