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Private AI deployment

Models and agents that run inside your own walls.

Sending confidential documents to a public AI service is a decision, not a default. We deploy models and agents inside your environment, connect them to your own data and put guardrails around what they can do.

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Private AI deployment

What it covers

  • Model selection and sizing for your hardware and budget
  • Local inference servers and private document search (retrieval) over your files
  • Agents with scoped permissions, approval steps and full audit logs
  • Defence against prompt injection and data leakage
  • Evaluation on your own tasks, so you measure quality instead of guessing

What you receive

  • Working private assistant with access control
  • Threat model and guardrail design for agents
  • Operating guide: updates, monitoring and cost

Questions and answers

Are local models as good as the big services?

For many business tasks, such as search, drafting and classification, they are good enough. For others they are not. We test on your tasks before you commit.

Can an agent be safe if it can use tools?

Only with limits. We give each agent the minimum permissions, require approval for risky actions and keep a log of every step.

Other services

Privacy and operational securityReduce what can be found, traced and abused.Secure communicationsMessaging, mail and voice that you control.Servers and infrastructureHardened, monitored, recoverable.Digital investigation and OSINTPassive, documented, lawful.Security trainingTeams that notice, resist and report.Security audit and authorized pentestingFind the flaw before the criminal does.

Ready to talk?

Create an account and send a request. You get a written reply with scope and terms.

Request this service