PrivateStack: DSE's own product.

A governed AI workspace platform developed by Data Science & Engineering Experts, Inc. This page describes our own-product reference architecture, rather than an anonymized client engagement.

Reference architecture

Own-product engineering

A workspace and a governance layer.

PrivateStack combines an organization-specific AI chat workspace with identity and team management, model routing, governance registries, policy controls, and usage tracking. The platform's architecture uses AWS services and a shared LiteLLM model gateway.

The architecture is a starting point for discussing tenant boundaries, evidence requirements and operating responsibilities. A buyer's deployment scope and review requirements are agreed separately.

Architecture topics

Make the boundaries reviewable.

The design discussion covers identity, tenant workspaces, model access, governance records and operational evidence.

PrivateStack · DSE own-product reference architecture

Identity and workspace access

identity

Clerk · organization membership

workspace

Organization-specific AI chat

Model routing and governance

model gateway

LiteLLM

governance

Registries · policy controls

operations

Usage tracking · team management

For a customer-owned AWS deployment, the Enterprise BYOC page describes the boundary map and the evidence used in architecture review. Deployment and managed operations receive a private written proposal.

§ Shadow AI to PrivateStack Bridge

Turn the inventory into a scoped workspace plan.

The Bridge is a two-week scope that carries a shadow-AI inventory into one pilot Team workspace and maps acceptable-use and data-handling rules into workspace settings, with a day-30 check-in. Scope, exclusions, availability and the fixed fee are confirmed privately before work starts. Readiness and configuration work, not certification.

Scope the Bridge →Start with the inventory