GenAI

Technical knowledge management and R&D with generative AI

Invesa · Azteria, a generative AI workspace for research and development.

Invesa research and development team

Why

To turn researchers' experience into organizational memory.

How

Three design decisions:

  • One flow: create → review → approve → publish.
  • Invesa's own context, not generic content.
  • Only what a peer approves enters the library.

What we achieved

A workspace where a researcher:

  1. Creates a technical document from a template based on its type.
  2. Adds inputs: tests, images, audio, datasets and PDFs.
  3. Develops it with contextual AI assistance grounded in existing knowledge.
  4. Receives an automatic quality review.
  5. Submits it to peer review with a formal decision.
  6. Once approved, publishes it, classified, in a searchable institutional library.

Project overview

ClientIndustrySolutionTechnologies
InvesaChemicalsGenAIAI, platform development, Azteria

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