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Lurus for the public sector

Make administrative knowledge useful. Keep decisions with people.

Support research, document preparation, and clear communication with defined roles, traceable sources, and mandatory review.

Controlled AI workflow Public sector
Administrative documents
Citizen information
Professional sources
Human review

Model choice

Many models. One controlled workspace.

Lurus brings different model routes into one shared interface. Choose what fits the task, privacy requirements, and workflow.

Explore all models
  • Z.ai
  • Claude
  • DeepSeek
  • FLUX
  • Gemini
  • Gemma
  • Kimi
  • Meta
  • MiniMax
  • Mistral
  • NVIDIA
  • OpenAI
  • Qwen
Starting point

Traceability matters more than automation at any cost.

Public-sector organizations need transparent working materials and clear responsibilities. Lurus supports preparatory knowledge work but does not make eligibility or public-authority decisions.

Concrete workflows

From input to a reviewable result.

Administrative documents

Understand administrative documents

Input
Documents and a concrete review question
Lurus capability
File analysis in Lurus Chat
Output
Overview with references
Human review
Staff review responsibility, legal status, and completeness.
Explore capability
Citizen information

Prepare citizen information

Input
Approved facts and language requirements
Lurus capability
Document generation
Output
Editable information text
Human review
Review facts, accessibility, and approval status before publication.
Explore capability
Professional sources

Collect sources for professional questions

Input
Question and time period
Lurus capability
Deep Research
Output
Structured source report
Human review
Review source quality and applicability to the specific matter.
Explore capability

Privacy and control

Review safeguards for your concrete use case.

Lurus combines encrypted transmission, roles and permissions, audit logs, and selectable storage options. Each concrete use case still requires organizational and professional review.

Approved data
Controlled AI workflow
Responsible approval

Adopt securely

Review data paths and controls transparently.

The security overview brings existing safeguards, storage options, and contractual documents together.

Explore security →

Controlled adoption

Start small and assign responsibility clearly.

  1. 1

    Scope the workflow

    Begin with a clear task, defined inputs, and a reviewable result.

  2. 2

    Define data and roles

    Define approved data, access, and responsibilities before adoption.

  3. 3

    Embed review

    Have responsible people approve sources, results, and external use.

Frequently asked questions

Questions about your industry.

Review your first workflow together.

Start for free or discuss requirements, data, and review paths in a personal demo.