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Worry-Free, Local Operation of AI Agents

Promise

Use AI with full confidence – local, simple, no brakes.

Imagine opening your AI agent in the morning and simply getting to work – with full confidence. You experiment, delegate, and let ideas grow without pausing to wonder whether it's allowed or costs too much. That feeling of drive and freedom is exactly what DAOS creates for the local operation of AI agents: use AI to the fullest and get work done, instead of being paralyzed by the fear of breaching rules.

The challenge

  • Unclear data clearances: Employees don't know what information they may put into an AI. That uncertainty kills momentum before it starts.
  • Vague policies, constant asking: Instead of clear rules there's often just "better not, to be safe." Anyone wanting certainty waits on IT or compliance.
  • High expertise barrier: Building and running local, efficient AI agents demands deep expertise; keeping models and security standards current is laborious and can't be carried by users alone.

Our answer

The answer is AI operation that runs entirely in-house – simply set up, without employees having to worry about the details. One click switches between private, confidential, and non-critical data: anyone working with sensitive information stays automatically within the protected local scope; anyone needing a public text gets access to the most powerful models. Nobody has to judge what's allowed anymore – the system already knows.

Without DAOS

Employees exchange data with each other; only occasionally does even highly sensitive data slip straight to the LLM provider, uncontrolled.
Your employees
LLM provider

With DAOS

The DAOS server sits between the machines, receives their data, and forwards only Public and Confidential data on to the LLM provider. Strictly Confidential, Secret, and Private all stay entirely within DAOS.
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Your employees
LLM provider
DAOS

Security tiers

PublicConfidentialStrictly ConfidentialSecretPrivate

Illustrative representation – not a real system architecture.

Challenge

Our answer

Uncertainty about which data may go into an AI.
The Resources Registry classifies automatically – no more guessing.
Vague policies and waiting for answers.
A policy system enforces clear rules automatically and transparently.
High effort to run AI locally.
Worry-free product updates keep everything current automatically.

What's behind it

Hybrid Inference Platform

Fully operable locally and open to any provider – local models via Ollama as well as OpenAI, Anthropic, or Google Vertex AI, with no vendor lock-in.

Resources Registry

A central overview of all resources, classified into five security tiers of rising clearance (Public, Confidential, Strictly Confidential, Secret, Private) – the basis for one-click switching.

Policy System

Clear, three-level rules (system, user, and workload level), model allowlists, and RBAC – automatically enforced and gap-free logged.

Worry-free product updates

Automated model updates, simple configuration, and turnkey integrations – without maintaining deep expertise for upkeep.

5
Security tiers enforced automatically
Public through Private
0
IT or compliance sign-offs needed
the system decides automatically what's allowed
100 %
Fully logged
every AI agent activity is traceable

Calculate your productivity potential

ROI calculator: productivity

Estimate how much productivity DAOS unlocks by removing uncertainty and IT/compliance wait times.

Hours reclaimed/week
160 h
Value unlocked per week
€8,800
Value unlocked per year
€457,600

Illustrative estimate based on your inputs – not a binding offer.

Use cases

From automatic security checks in daily work to switching between cloud and local models: the everyday AI guardrails and model provider switching use cases.

Want to experience worry-free AI in your own setup? Get in touch or book a slot directly – we'll set it up together with you.