Protected AI helps businesses, founders and professionals set up private AI environments based on existing local AI tools, dedicated servers and tailored infrastructure.
We install, configure and document established AI systems that run on your own hardware, local servers or private infrastructure, keeping internal data safe.
Own Infrastructure
Local AI Models
Private Server Setup
No SaaS Lock-In
We build AI infrastructure that gives companies internal AI capabilities first — with optional controlled access to external frontier models only when the customer explicitly chooses it.
Core enterprise package
A fully internal AI infrastructure for companies that want AI capabilities without sending prompts, documents or answers outside their own environment.
This package creates an internal ChatGPT-like system based on local AI models, local document processing and an internal user interface. Employees can work with company knowledge, documents, manuals, technical information or internal files while the AI infrastructure remains inside the company network or dedicated private infrastructure.
The goal is not to copy a public chatbot. The goal is to build a controlled internal AI environment that can answer questions, summarize documents, assist with internal knowledge work and support daily business workflows.
Best for: companies that want internal AI capabilities without depending on public AI chats for sensitive work
Typical setup price: from $4,500 one-time
Optional maintenance: from $290/month
Maximum flexibility
A staged AI infrastructure where sensitive work stays internal, while selected non-sensitive tasks can optionally use external frontier models.
This package is designed for companies that want the best possible balance between internal control and high-end AI capabilities. The local AI infrastructure handles internal documents, company knowledge and sensitive workflows. External AI models can be added as optional escalation routes for non-sensitive or approved tasks, with anonymization applied before prompt submission when required.
The company decides when AI stays fully internal and when an external model may be used. This makes the setup more flexible than a purely local system while still avoiding uncontrolled use of public AI tools.
Best for: companies that want internal AI first, but do not want to lose access to stronger external models for selected tasks
Typical setup price: from $6,500 one-time
Optional maintenance: from $390/month
A tailored AI environment for special workflows, server setups, integrations or business requirements.
Some customers need more than a standard internal or hybrid AI setup. This package is for companies with existing server environments, special interfaces, custom workflows, development teams or advanced integration requirements.
Best for: companies with specific requirements, existing technical infrastructure or advanced AI workflows
Typical setup price: individual quote
Optional maintenance: individual quote
4. Local AI Setup
A local AI setup for professionals, founders and small teams working from a home office or private office environment.
This package is for users who want a practical AI assistant running on their own computer, workstation, mini server or private office setup. It is smaller than the enterprise packages but follows the same principle: local-first AI infrastructure instead of uncontrolled public chatbot usage.
Best for: founders, consultants, developers, freelancers and privacy-conscious professionals
Typical setup price: from $1,200 one-time
Optional maintenance: on request
Regular updates and technical checks keep your AI infrastructure aligned with the fast-moving AI landscape.
For small local installations and single-server setups.
From $190/month
For company setups with several users or document-based AI workflows.
From $290/month
For larger or more complex AI infrastructure setups.
Individual quote
Depending on the package, your Protected AI infrastructure may include a local AI server, local language models, an internal chat interface, internal document search, optional external model routing, update routines and technical documentation.
We clarify your target use case, number of users, existing hardware, server environment and expected AI workloads.
You receive a clear recommendation for the best setup: workstation, local server, private hosted server or custom architecture.
We install the required components, configure the AI environment and prepare the system for real use.
We test the setup with selected workflows, models and sample tasks to ensure that the system works reliably.
You receive technical documentation and a clear overview of how the system is structured, maintained and extended.
If needed, we support updates, model changes, technical checks and future extensions of your AI infrastructure.
A protected AI setup should not begin with random tools. It should begin with the right architecture. Protected AI helps you move from experimentation to a working infrastructure: installed, configured, tested and ready for practical use.