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Augmentry

delivery

Infrastructure

We plan and build the environment for your AI applications, in the cloud or on your own infrastructure.

Discuss your infrastructure All services

What you receive

With your IT team, we agree on data access, running costs and responsibility for operations.

IT leadership · Security teams · Regulated organisations

Make the architecture visible

The layers at a glance

Illustrative system model with four separated layers: applications, agents, data and operations.

  1. Applications

    Usage and access

    Who uses the system and which functions can they access?

  2. Agents

    Tasks and tools

    Which actions may an agent perform and which tools does it need?

  3. Data

    Sources and access boundaries

    Which data is available and how is access restricted?

  4. Operations

    Compute and monitoring

    Who operates the environment and checks its condition?

Illustrative system model, not a reference architecture. The actual structure and operating model depend on your requirements.

Typical assignments

  • Plan and build private or on-premises AI infrastructure.
  • Evaluate operating models for access, availability and ongoing effort.

What we deliver

  1. 01 A documented operating model covering data classes, access rules, responsibilities and the required response to incidents.
  2. 02 A reasoned decision between cloud, private and on-prem, including operational effort, cost assumptions and long-term commitments.
  3. 03 Infrastructure whose architecture, operating procedures and responsibilities your team can understand and take over.

How we work together

  1. 1. At the outset, we clarify the target state, existing infrastructure, current operational responsibility and the systems with specific availability requirements.
  2. 2. We compare cloud, private and on-prem models based on data requirements, security, availability, operational effort and total cost.
  3. 3. We document the architecture, operations and open questions and prepare the platform for handover together with your team.

Further reading

AI Readiness and Governance → Private AI Infrastructure → Security Audits and Compliance →

Scope and limitations

  • Choose the platform in context: data classes, access requirements and security boundaries are clarified before a decision is made.
  • Establish operational responsibility before production: ownership of patching, monitoring, updates and incident response is clearly defined.
  • Documented handover is part of the engagement. Ongoing operation by Augmentry is included only when explicitly agreed.

Which AI or software systems do you need to operate securely?

Describe the target state, existing infrastructure, critical systems and relevant requirements. We will respond with an initial technical assessment.

Discuss your infrastructure