How we use artificial intelligence to preserve languages

Technology is advancing faster than many languages can keep up. We integrate established AI into our tools — not instead of communities, but so they can create content, preserve languages, and thrive in digital life. We are not training our own models today.

Every application starts from the same belief: we build tools; communities create the content. We integrate established AI where it serves communities — in Lola Kifuliiru and Tabula Kifuliiru for language work, and in Peacae PM for how we build those platforms — helping document, teach, and connect. Not when it replaces speakers or invents what they never said. We use AI; we are not training our own models today.

  1. 01

    Language recognition

    Speech systems that identify and transcribe spoken language — helping document oral tradition and everyday conversation.
  2. 02

    Translation assistance

    Tools that bridge languages while holding onto cultural context and nuance, not just word-for-word swaps.
  3. 03

    Pattern recognition

    AI that surfaces linguistic patterns and relationships — useful for documentation and analysis.
  4. 04

    Content support

    Assistance for educational materials and learning resources, always with community authenticity in mind.
  5. 05

    Community involvement

    Speakers and culture-bearers shape how AI is used in our products.
  6. 06

    Transparency

    Clear about where AI is used and how decisions are made.
  7. 07

    Protect sensitive culture

    Communities control what is shared, stored, and generated.
Wekify — Tools for languages, cultures, and communities