Platform

A governed platform for enterprise AI applications

DataSafeHouse unifies policy-aware model access, integration connectors, grounded retrieval pipelines, and operational governance in a production-ready platform architecture.

DataSafeHouse is designed for organizations that need to deploy AI capabilities without creating unmanaged risk.

The platform architecture demonstrated across the gateway and admin console emphasizes controlled access, explicit policy resolution, auditability, and operational diagnostics. Teams can route across approved providers and models, apply app-level overrides, manage connector integrations, and track usage events through a consistent control plane.

Core capabilities

Tenant and app architecture

Segment environments by tenant and app, with scoped keys and app-level controls.

Admin APIs include tenant/app lifecycle, key issuance and revocation, and effective policy/limit resolution endpoints.

Model governance and routing

Manage logical model catalogs and per-app provider model overrides.

Provider discovery and model import workflows in the console support controlled curation across Bedrock, OpenAI, Gemini, and local endpoints.

Policy enforcement in request path

Apply provider, provider-model, and token constraints before requests reach model providers.

Access policy and rate-limit enforcement execute in chat and model-list paths, including tenant/app/api-key scope inheritance.

Grounded content operations

Build context-aware applications with source ingestion and citation-backed retrieval.

RAG services support transcript ingestion, context documents, chunk/embedding pipelines, and app-scoped query endpoints.

Trust pillars

Security controls

Scoped admin credentials, API key isolation, role-based console access, and guarded connector host validation.

Governance and audit

Policy change events, admin-auth events, usage events, and connector action logs for review and compliance workflows.

Provider flexibility under policy

Multi-provider support with policy controls to allow or block providers and provider-model combinations.

Deployment flexibility

Architecture supports enterprise-hosted deployment patterns, including controlled egress policies and environment-specific service configuration.