Public cloud AI sends your customer lists, blueprints, financial ledgers, and legal files across external servers. PDQ Private Cloud AI builds an air-gapped, high-performance AI inference engine directly inside your company’s physical or private cloud perimeter.
Why modern legal, financial, healthcare, and high-performance businesses are moving AI workloads on-premise.
| Comparison Vector | Public Cloud AI (ChatGPT, Copilot, etc.) | PDQ Private Cloud AI |
|---|---|---|
| Data Privacy & Confidentiality | Prompts & uploaded documents travel across public third-party servers. | ✓ 100% Local Inference. Data never leaves your dedicated server. |
| Compliance (HIPAA, GLBA, CJIS, CMMC) | Requires complex third-party BAAs, audits, and cloud vendor trust. | ✓ Air-gapped & intrinsically compliant by design. |
| Operating Cost | Per-token meter fees that scale unpredictably as your staff increases usage. | ✓ Fixed infrastructure cost. Unlimited queries & zero per-token fees. |
| Custom Knowledge & RAG | Generic models with limited context windows or costly embeddings. | ✓ Full private semantic search across your entire historical database. |
| Offline / Outage Resilience | If cloud API goes down or changes terms, your workflow halts. | ✓ Runs 24/7 locally on your hardware, even without active internet. |
Engineered, racked, and configured for your specific operational requirements.
Instantly search and synthesize decades of contracts, job estimates, customer emails, blueprints, and tax records using natural conversation.
Automate repetitive administrative workflows: triage inbound customer requests, auto-draft job quotes, parse invoices, and sync CRM records.
We source, configure, rack, and maintain dedicated enterprise GPU nodes optimized for high-throughput model inferencing (DeepSeek, Llama-3, Qwen).
Talk directly with our lead architect to evaluate hardware requirements, document ingestion scope, and expected ROI for your private intelligence deployment.