Deployment and trust

Private cloud document AI for regulated workflows.

Run document extraction APIs, OCR, validation, review, and audit trails in a private VPC or controlled cloud when shared SaaS is not enough for procurement, residency, or data-retention requirements.

When private cloud document AI matters

Most document AI pilots can run in a standard cloud tenant. Regulated production workflows often need more: dedicated infrastructure, VPC peering, customer-managed keys, region pinning, strict data retention, zero data retention for source documents, and audit evidence that proves where every inference ran.

Private VPC

Deploy the document processing API in a dedicated network boundary with tenant-scoped ingress, egress, logs, and secrets.

Retention controls

Set document data retention by workflow, including zero data retention beyond request processing when the use case requires it.

Audit evidence

Export model version, region, reviewer, validation, and webhook evidence for compliance review.

Deployment options

OptionBest fitControls
Shared cloud tenantStandard API and portal workflowsTenant isolation, encryption, regional residency, configurable retention
Dedicated tenantEnterprise procurement and higher-volume workflowsDedicated keys, rate limits, stricter access controls, custom DPA terms
Private VPC deploymentBanks, insurers, healthcare, government-adjacent, and regulated SaaS platformsPrivate networking, BYOK/CMEK, pinned sub-processors, zero data retention mode
Controlled single-tenant cloudCustomers that need operational isolation without full on-prem ownershipSingle-tenant compute, regional processing, customer-specific observability boundaries

Zero data retention and audit retention are different

Zero data retention means source documents and extracted content can be discarded after request processing. Audit metadata is a separate record: request ID, timestamps, model version, validation status, reviewer activity, and export decisions can be retained under your contract so compliance teams can still reconstruct what happened.

Private cloud evaluation checklist

Ask every document AI vendor where inference runs, whether embeddings leave the selected region, whether document bodies appear in logs, whether LLM sub-processors use zero-retention APIs, how BYOK revocation works, and whether the audit trail records deployment region and model version per document.

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