Sovereign AI Deployment

Own Your AI. Control Your Data. Trust No Vendor.

Enterprise and regulated-industry teams can't send sensitive data to third-party AI APIs. We build and deploy production-grade AI systems entirely within your own infrastructure — cloud, on-premise, or air-gapped — so you get the full power of LLMs without ceding control.

Book a Sovereign AI Architecture Call →

What Is Sovereign AI Deployment?

Sovereign AI means your models, your data, and your inference pipeline stay inside your security perimeter — always. No external API calls. No data leaving your environment. No dependency on OpenAI, Anthropic, or any third-party model host.

We design, build, and deploy the complete stack:

• Open-weight model selection and fine-tuning (Llama 3, Mistral, Falcon, Phi-3)

• Self-hosted inference infrastructure (vLLM, TGI, Triton)

• RAG pipelines with private vector stores (Weaviate, Qdrant, pgvector)

• Agentic workflows with full audit logging

• Compliance-aligned monitoring and observability

Service Breakdown

1. Compliance-Ready AI Architecture Design

We map your regulatory requirements (HIPAA, GDPR, SOC 2, FedRAMP, ISO 27001) to a concrete AI system architecture before a single line of code is written. Deliverable: an approved architecture blueprint your security team can sign off on.

2. Private Model Deployment

We select, configure, and deploy open-weight LLMs on your own cloud (AWS, Azure, GCP) or on-premise servers. Models never phone home. Inference is entirely self-contained.

3. Sovereign RAG Pipelines

Document ingestion, chunking, embedding, and retrieval — built on private vector databases. Your proprietary documents, contracts, SOPs, or patient records stay inside your environment.

4. Fine-Tuning on Proprietary Data

Domain adaptation using your internal data with QLoRA or full fine-tuning. Training runs inside your infrastructure. Weights are yours.

5. Agentic AI Systems with Audit Trails

Multi-step AI agents for clinical workflows, legal document review, financial analysis, or internal operations — with full tool-call logging and human-in-the-loop checkpoints for compliance.

6. Ongoing LLMOps & Monitoring

Model drift detection, inference cost tracking, prompt versioning, and performance dashboards. We hand off a fully operated system, not just deployed code.

Use Cases by Vertical

Engagement Models & Pricing

Starter Deployment

$8,000 – $15,000 · One-time project

• Single-domain RAG deployment

• Up to 1 fine-tuned model

• Deployment on your AWS/Azure/GCP

• 30-day post-deployment support

Enterprise Sovereign Stack

$20,000 – $60,000+ · One-time build

• Full sovereign AI stack (RAG + agents + inference)

• Compliance documentation package

• On-premise or air-gapped deployment option

• 90-day LLMOps handoff

Retainer / Ongoing LLMOps

$3,000 – $8,000/month

• Continuous monitoring, model updates, and incident response

• Monthly performance reports

• Priority access to Codersarts AI engineering team

Why Codersarts AI

• Built production RAG and agentic systems for healthcare and legal clients across 3 continents

• Deep expertise in open-weight models: Llama 3, Mistral, Phi-3, Falcon

• Compliance-first engineering — we speak HIPAA, SOC 2, and ISO 27001

• End-to-end ownership: architecture → build → deploy → operate

• No subcontracting. Senior AI engineers on every engagement

Ready to deploy AI you fully control?

Book a 45-minute Sovereign AI Architecture Call. We'll assess your compliance constraints, infrastructure, and use case — and give you a concrete deployment path.

Schedule Architecture Call →

Questions? Email us at contact@codersarts.com or use the contact form below.