← Enterprise platformPrivate AI deployment planner

Start with the work.
Add infrastructure only when it earns its place.

Every Software Tailor AI App already includes an embedded AI Engine and a useful free model. Describe the business use case, hardware and operating boundary; the planner will show whether standalone apps are enough, when AI Server helps, and when a multi-server estate needs AI Gateway.

01 · Quick start

Choose the closest common use case.

One click fills the detailed questionnaire and shows an immediate architecture and cost. Every value remains editable in the refinement steps below.

Go to detailed refinement
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02 · Further refinement

Tune the preset.

Personal private assistant · preset values

The result is a decision aid, not an automatic hardware quote. Pilot the actual models and files before procurement.

Apps and models

Begin with the embedded engine.

03 · Operating boundary

What must be central?

Reasons to consider AI Server
04 · Recommended architecture

Standalone AI Apps

Start here
AI Apps1 user or device · AI Suite
Always included
Embedded AI EngineIncluded default model · runs on the device

Every app remains independently useful. A server connection is never required for the local route.

AI AppsStandalone FreeEmbedded engine and included default model
AI ServerNot neededKeep inference on the device
AI GatewayNot neededUsed only for a multi-server pool
Central administrationNot neededManage this device locally
Why this path

Recommendation evidence

    Hardware fitUse the current endpoint

    A modern 16 GB device is a comfortable starting point for the included small model.

    Infrastructure planning figureExisting deviceNo central infrastructure selected
    Software licencesUS$0Free app path
    Indicative monthly totalUS$0USD before tax, when calculable
    05 · Commercial handoff

    Carry only the required quantities into the Store.

    No paid licences are required for this starting point.

    Annual recurring licence totalUS$0

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    The deployment ladder

    Four layers, each with a distinct job.

    Always first

    Standalone AI App

    The embedded AI Engine and included default model provide a useful free path on the device. Pro adds broader model choice tuned to the workload and hardware.

    Add when shared

    AI Server

    Centralise models, compute, provider credentials or an OpenAI-compatible API. The app keeps its embedded engine for local use and fallback.

    Add when pooled

    AI Gateway

    Put one stable endpoint in front of multiple AI Server workers for health-aware routing, failover and scale. Gateway software is included with AI Server.

    Add when governed

    AI Admin Console

    Use central identity, entitlement, policy and audit when organisation-wide control becomes part of the requirement.