Solution
Sovereign AI — On-Premise & Air-Gapped AI Deployment
AI That Never Leaves Your Perimeter
Deploy frontier AI models entirely within your national or enterprise border with full data residency, air-gapped inference, and regulator-ready audit trails.
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100%
Data residency (no cross-border inference)
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14+
Open-weight models validated on-premise
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72h
Median time from POC to air-gapped production
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6
Regulatory frameworks supported out-of-the-box
The challenge
What makes this hard
- Regulatory Mandate: DPDP, RBI IT Framework, IRDAI, SEBI, UAE PDPL, ADGM, EU AI Act impose data localization requirements
- National Security: Defence/intelligence cannot use shared-cloud inference; prompts and weights must remain air-gapped
- Audit Traceability: Regulators require complete logs of decisions, prompts, outputs; public APIs provide none
- Latency & Reliability: Mission-critical AI cannot tolerate external API latency
- Cost at Scale: 10M+ tokens/day makes cloud APIs expensive; on-premise reduces inference costs 60–85%
- IP Ownership: Fine-tuned models on proprietary data stay proprietary, not owned by hyperscalers
What we deliver
The Qapitol approach
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Layer 1 — Model Hosting & Inference
vLLM/TGI serving on GPU clusters (NVIDIA A100/H100 or AMD MI300X). Supports Llama 3.1-70B/405B, Mistral Large, Phi-4, Qwen2.5, Falcon — fully air-gapped.
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Layer 2 — Evaluation & Safety Gate (QAVE)
Every prompt/completion passes through SURE-Q evaluation. Real-time scoring for bias, toxicity, hallucination, policy compliance.
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Layer 3 — Compliance & Audit Layer (CHEQ)
Logs every AI decision with timestamps mapped to regulatory obligations. Auto-generates IRDAI, RBI, EU AI Act, DPDP audit reports.
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Layer 4 — Orchestration (Nexus/Agent Fabric)
Multi-agent workflows, RAG pipelines, tool-use orchestration within your perimeter. Integrates with existing data warehouse/API layer.
Next step
Bring Sovereign AI — On-Premise & Air-Gapped AI Deployment to your stack
Scope it in one call — outcomes defined upfront, free assessment included.