Private GPT for BusinessChatGPT-Level AI That Never Leaves Your Network
Self-hosted AI with full conversational capabilities. Your questions, documents, and outputs stay on hardware you control. Zero data exposure to third parties.
What Private GPT Delivers
All the productivity of ChatGPT with complete data sovereignty and compliance controls.
Document Summarization
Summarize contracts, reports, and clinical notes. AI processes documents entirely within your network with no external data transmission.
Knowledge Base Q&A
Ask questions about your SOPs, policies, and institutional knowledge. RAG integration grounds answers in your actual documents.
Content Generation
Draft emails, reports, proposals, and documentation. Fine-tune on your data so outputs match your organization's tone and standards.
Code Assistance
Generate, review, and debug code without sending proprietary source to external servers. Supports all major programming languages and frameworks.
How We Deploy Private GPT
On-Premise Server
- Dedicated GPU server in your data center. Full air-gap capability
- Best for CMMC, ITAR, and classified environments
- We specify, build, ship, and install the hardware
Private Cloud / Hybrid
- Single-tenant GPU instances. Network-isolated from public internet
- Scalability without capital hardware expense
- Hybrid: sensitive workloads on-premise, general queries in private cloud
Models We Deploy
Llama 3.1 (8B-405B)
Mistral / Mixtral
Qwen 2.5 (7B-72B)
DeepSeek-V3
Code Llama
Custom Fine-Tuned
Built For
Frequently Asked Questions
How does private GPT compare to ChatGPT?
Current open-source models match GPT-4 on most business tasks. Llama 3.1 405B matches or exceeds GPT-4 on standard benchmarks. With RAG on your documents, private models often outperform cloud AI on your specific questions.
What hardware do we need?
Small (1-10 users, 8B model): single GPU workstation ($5K-$12K). Mid (10-50 users, 70B model): dual-GPU server ($25K-$60K). Enterprise (50+ users): multi-node GPU clusters. We provide detailed specs during assessment.
Can we train it on our documents?
Yes, through RAG (retrieves documents at query time) or fine-tuning (trains the model permanently). Most deployments start with RAG and add fine-tuning for specific use cases.
How much does it cost?
Small on-premise: $15K-$30K. Mid-size: $40K-$80K. Private cloud: $5K-$15K setup plus $1K-$5K/month. Private GPT becomes more cost-effective than ChatGPT Enterprise at roughly 20+ users over 24 months.
Is it HIPAA and CMMC compliant?
Yes. No data leaves your infrastructure. We add role-based access controls, AES-256 encryption, audit logging, and incident response procedures aligned with HIPAA Technical Safeguards and NIST 800-171 for CMMC.
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Ready to Deploy Private GPT?
Stop choosing between AI productivity and data security. Get powerful AI that keeps every byte within your security perimeter.