For a global regenerative network, KINTO built a bilingual site with an auto-linked glossary and navigable long documents, and a pilot app that uses AI to match what each member offers with what another needs.
Problem
An ecosystem with many parts (several initiatives under one network) needed one presence that explains a complex proposition, with long vision documents, in two languages and editable by a non-technical team. And its members could not find each other: connections depended on chance.
Signals
- Market: A global community with members from several continents.
- Business: The proposition only makes sense if it can be explored in depth.
- User experience: Broken navigation when switching languages and orphaned pages in earlier versions.
- Support: Connections between members depended on chance.
How we understood it
- Reading the ecosystem’s master documents and the team’s corrections.
- Inventory of the pages and of the ecosystem’s own terms that the audience does not know.
What we built and why
- Bilingual site with ecosystem pages that render long documents with a navigable table of contents, a blog with search and related posts, a glossary that auto-links every term across the site, a team page and a Git-based CMS.
- AI matchmaking app (pilot): enriches each person’s profile from what they offer and need and matches it against the whole ecosystem; access through passkeys and invitations.
Why this way: An ecosystem with its own vocabulary is only understood if each term is explained where it appears, which is why the glossary automatically links every term across the whole site.
Transformation
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From zero to a bilingual site of more than ten ecosystem pages with a blog and glossary, and fixed cross-language navigation.
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The app went from a static prototype to a deployable service.
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bilingual ecosystem pages: over ten (measured)
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auto-linked glossary terms: over ten (measured)
What we don’t know yet
- Real users, matches generated and results: no evidence.
