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Private AI for public institutions.

Give public-service teams approved models and information in one managed workspace. Choose where data is processed, who has access, and what is recorded.

Review a public-sector setup ↗
Sunlit European civic building with limestone walls, warm timber, and an open public courtyard.
AstraedExample configuration
Workspace settings

Public-service team

Rules set
People
Approved department
Information
Approved internal sources
Where it runs
Private server · EU
Logs
Retention and usage log set

Keep public work inside clear boundaries.

Set the data location, models, access, retention, and logs for each service or department.

  1. 01

    Data location

    Choose the region and environment for chats, files, knowledge, logs, and backups.

  2. 02

    Approved models

    Connect selected outside providers or run models on private infrastructure.

  3. 03

    Access by team

    Give departments only the models and information they need.

One system for different public services.

  1. 01

    Administrative work

    Draft, summarize, and search approved internal material, with staff review.

  2. 02

    Research and policy

    Work with approved sources and keep a clear review path.

  3. 03

    Staff access and oversight

    Define staff groups, roles, retention, usage logs, and administrator access.

Review how public teams can use AI within clear data and access rules.

Review a public-sector setup ↗