AIOW Solutions · Infrastructure

Local AI for greater control over data, models and continuity.

Free · about 30 minutes · outcome: a decision memo. A person confirms the date and time.

Local AI means that part of the AI processing runs on your own or assigned infrastructure rather than exclusively through a public cloud service. It can increase control over data flows, but it does not automatically guarantee privacy, security or lower costs.

The right architecture may be fully local, hybrid or cloud-based. AIOW chooses only after assessing the data, task, quality level, capacity and management needs. A small local model can be excellent for one bounded task and unsuitable for another. Measured task performance matters more than a model name or parameter count.

Where it can be useful

Practical applications

Search internal knowledge

Index designated documents and provide answers with source references inside the agreed environment.

Protected drafting

Create summaries or drafts from sensitive input when the selected infrastructure and permissions allow it.

Local classification

Classify text or signals without sending every input to an external model provider.

Hybrid routing

Run simple or sensitive tasks locally and send only explicitly suitable tasks to an external service.

From question to management

A working route in three parts

01
Data and task classification
We document what information is processed, who has access and what quality level is required.
02
Architecture pilot
We compare a local or hybrid design on task performance, latency, capacity and management burden.
03
Operational boundary
We document updates, access rights, logging, recovery and when an external service may or may not be used.

Transparent indication

Private AI from € 49,500

For organisations above 250 people: setup from € 49,500
Management indication: € 89 per person per month, minimum € 7,500
Smaller local or hybrid designs are budgeted within a suitable business scope after the scan

Indication excluding VAT, hardware, installation, energy, cloud, AI and supplier usage. Capacity and security are priced definitively only after a technical inventory.

Request a scan

Frequently asked questions

Before you continue

Is local AI always safer than cloud AI?

No. Security also depends on configuration, access management, updates, logging and the full data route. Local deployment does not remove those responsibilities.

Does local AI work without internet?

Some bounded functions can, provided the model, data and application are available locally. Updates, external sources or connected services may still require a connection.

Do we need to buy our own GPU servers immediately?

No. We test the task and capacity first. Hardware is proposed as a separate dependency only when the pilot justifies it.

AI automation

Design the workflow in which local or hybrid models become useful.

Smart Office

Where appropriate, connect local processing to a building’s operational environment.

Start with one real situation.

Bring a workflow, a data question or a space. We clarify what is feasible now, which dependencies exist and what belongs outside the scope.