White paperGoverning AI agents in production: policies, human approvals and an emergency stop.Read the white paper

Solutions

Putting industrial know-how within reach of every team

Manufacturers want to make their technical documentation, lessons learned and production data available to their teams, without exposing their industrial property.

At a glance

  • Local models
  • Governed knowledge
  • Multimodal
  • Controlled costs

Your challenges

What AI must respect in your industry

  • 01 - Industrial property

    Drawings, processes and formulas must never be sent to an external service.

  • 02 - Scattered documentation

    Manuals, sheets, reports and lessons learned live in different systems.

  • 03 - Industrial environments

    Production sites and industrial networks often require isolated operation.

Our answer

What Navin brings

  • Local models

    vLLM on your GPUs to process technical documents without them leaving the site.
  • Governed knowledge

    Document processing, RAG on Qdrant and access rights enforced on every answer.
  • Multimodal

    Vision, voice and video for operators on the shop floor.
  • Controlled costs

    Quotas, budgets and GPU accounting per site, project and team.

Use cases

Concrete use cases

Examples of use cases your teams can build on the platform.
  • 01 - Maintenance assistant

    Guided diagnosis from manuals, intervention history and lessons learned.

  • 02 - Technical search

    Sourced answers from standards, specifications and internal reports.

  • 03 - Supplier document analysis

    Checking certificates, sheets and offers received from suppliers.

  • 04 - Quality reports

    Preparing non-conformity reports and their action plans.

Let's talk about your use cases

An architect studies your constraints and the right topology with you.