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Deployment Flexibility

Deployment choices for controlled environments.

DeskDox supports evaluation, private cloud, distributed Docker, air-gapped local AI, and hybrid AI routing patterns without changing the core platform experience.

Web App

API

Database

Storage

AI

Integrations

Deployment Topologies

Run DeskDox where your data must live.

Deployment is explained with topology cards, not unrelated product screens.

Single-Server Deployment

A focused deployment model for pilots and controlled environments.

Run the core DeskDox services on one server for evaluation, proof of concept, or smaller production environments with predictable usage.

Private Cloud

Operate DeskDox within your controlled cloud environment.

Deploy inside an organization-managed cloud account or private infrastructure while maintaining control over network, storage, and access policies.

Distributed Docker

Separate application, data, and storage layers for scale.

Use stateless application containers with external database and object storage patterns for enterprise capacity and operational resilience.

Air-Gapped / Local LLM

Run AI assistance locally for restricted environments.

DeskDox can be configured with local AI backends for environments where document content should remain inside the controlled network.

Hybrid AI Routing

Route AI workloads according to sensitivity.

Hybrid routing can support environments where some users or tenants use local AI while less sensitive workloads use approved cloud AI services.

Integration Surface

Connect deployment to enterprise systems and communication paths.

DeskDox exposes integration surfaces for workflow, notifications, document operations, identity import, and AI provider configuration.

Evaluation Fast-Path

Evaluation fast-path

A focused evaluation path helps technical teams validate capabilities, deployment assumptions, and integration requirements before production planning.

1

Confirm use cases and deployment preference

2

Prepare environment variables and storage decisions

3

Launch the evaluation stack

4

Test document, workflow, AI, and security scenarios

Plan the right DeskDox deployment model.

Request a technical walkthrough for cloud, private cloud, distributed Docker, air-gapped, or hybrid AI deployment requirements.