Private AI
Regulated & air-gapped
AI that staysinside your boundary.
On-prem, VPC-hosted, and GCC High environments need models, RAG, and agents that never leave approved enclaves. OWCER designs private AI architecture, guardrails, and activation paths—without forcing public SaaS where policy forbids it.
When private AI matters
Public Copilot isn’t always the answer
Defense contractors, healthcare operators, and financial services buyers often need models and data planes they can explain to auditors—not just a checkbox on a vendor trust center.
Data residency & enclave requirements
GCC High, IL5-adjacent patterns, and air-gapped labs need deployment models that match contract language—not generic cloud defaults.
Self-hosted models with no activation plan
GPU clusters and private endpoints sit idle without workflow integration, champion networks, and governance prerequisites.
Audit questions you can’t answer yet
Who can prompt which model? What data is indexed? Where are logs retained? We implement controls before scale, not after an incident.
Related proof
GCC High activation with governance built in
A defense consulting firm moved to Microsoft 365 GCC High but still worked like Google. OWCER restructured SharePoint and Teams, automated provisioning, and delivered audit-ready governance alongside daily operations.
“OWCER mapped our governance prerequisites alongside activation—so we could scale Copilot without waiting for the next audit finding.”
Capabilities
Private AI services
Architecture & landing zones
Azure OpenAI in VPC, self-hosted Llama/Mistral stacks, private endpoints, and network segmentation aligned to your ATO or SOC scope.
RAG on approved corpora
Indexed libraries with sensitivity labels, DLP, and retrieval boundaries—so answers cite sources leadership can defend.
Guardrails & logging
Approved use cases, human-in-the-loop rules, and audit trails paired with AI governance and identity controls.
