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AI Engineering · Private AI

Private AI

Your models inside your boundary: VPC, on-premise or isolated cloud.

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Model-agnostic architecture Private & on-premise ready Human-in-the-loop validation
  Private AI Security Architecture
01
Security PerimeterZero outbound telemetry, network-isolated VPC / on-prem
02
Dedicated ComputeCustomer-controlled GPU/CPU infrastructure
03
Self-Hosted ModelsOpen weights or fine-tuned domain models
04
Controlled InferenceStrict latency SLAs, zero third-party API exposure
05
Local Context & RAGAir-gapped vector store & document repositories
🔒
Data Sovereignty GuaranteeNo training on client data, zero vendor dependency

Your models inside your boundary: VPC, on-premise or isolated cloud.

Capabilities

What this covers

  • VPC design
  • On-premise deploys
  • Data isolation
  • Audit logging

Use cases

Typical engagements

  • Regulated operations
  • On-prem copilots
  • Private knowledge search

Technology

Tools we reach for

Open and small models, controlled inference.

Security note

Controlled by default

Identity, least-privilege access and audit trails are engineered into delivery.

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Connected Capabilities

The complete AI engineering stack.

Explore how this capability integrates with the rest of the IA Webtech AI platform:

Execution

AI Agents

Goal-directed software that plans steps and acts via governed tools.

Explore → Workforce

AI Operators

Domain operators executing continuous business motions alongside staff.

Explore → Knowledge

Enterprise RAG

Permission-aware retrieval grounded strictly in your enterprise documents.

Explore → Sovereignty

Private AI

Zero data leakage, VPC or on-premise deployments for sensitive operations.

Explore →