# From your experts' know-how to organizational memory.

> Azteria is Summan's generative AI platform to create, review and publish technical and R&D knowledge in an institutional library. Invesa case.

URL: https://www.summan.com/en/solutions/generative-ai/azteria/

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  <div class="wrap"><ul class="ins-pills"><li>Generative AI with <b>your context</b></li><li><b>Peer</b> review</li><li><b>Institutional</b> library</li></ul></div>
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    <p class="ins-k">Problem and solution</p>
    <h2 class="ins-h2">Sound familiar?</h2>
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      <ol class="ins-prob__lista"><li><b>01</b><span>Knowledge leaves with people</span></li><li><b>02</b><span>Technical documents with no common standard</span></li><li><b>03</b><span>Tests and efforts that get repeated</span></li><li><b>04</b><span>Scattered information that is hard to find</span></li></ol>
      <div class="ins-con az-con"><p class="az-con__t">With Azteria</p><p>Each expert documents their knowledge from templates, with AI assistance grounded in what the organization already knows, and publishes it in an institutional library everyone can search.</p></div>
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    <p class="ins-k ins-k--c">How it works</p>
    <h2 class="ins-h2 ins-h2--c">One flow, <span>from idea to library</span></h2>
    <ol class="ins-mods az-pasos"><li><b>01</b><h3>Create</h3><p>The technical document starts from a template based on its type.</p></li><li><b>02</b><h3>Enrich</h3><p>Tests, images, audio, datasets and PDFs.</p></li><li><b>03</b><h3>Develop with AI</h3><p>Contextual assistance grounded in existing knowledge.</p></li><li><b>04</b><h3>Evaluate</h3><p>Automatic quality review before submission.</p></li><li><b>05</b><h3>Peer review</h3><p>A formal decision by an expert.</p></li><li><b>06</b><h3>Publish</h3><p>Once approved, it is classified in the library.</p></li></ol>
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      <p class="ins-k">Benefits</p>
      <h2 class="ins-h2"><span>Knowledge that stays.</span> Teams that move faster.</h2>
      <ul class="ins-checks"><li>Knowledge stays in the organization, even as teams change.</li><li>Better documents, with a common standard.</li><li>Fast search of what is already known.</li><li>Fewer repeated tests and efforts.</li><li>Human control: only what a peer approves enters the library.</li></ul>
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    <img src="/img/azteria/azteria-app.webp" alt="Azteria by Summan on a phone" loading="lazy">
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    <p class="ins-k">Success story</p>
    <h2 class="ins-h2">Invesa turns its researchers' experience into <span>organizational memory</span>.</h2>
    <a href="/en/case-studies/invesa-azteria-generative-ai/" class="btn btn--azteria">See the Invesa case</a>
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    <p class="ins-cta__t">Start building your organization's memory.</p>
    <p>Discover how Azteria can help your research, engineering and quality teams <strong>document, share and reuse their knowledge</strong>.</p>
    <a href="#contacto" class="btn btn--azteria-negro">Request a demo</a>
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## Frequently asked questions

### Which teams is Azteria for?
Teams that generate technical knowledge: research and development, engineering, quality, laboratories and process areas.

### Is my company's knowledge used to train public models?
Azteria works with the organization's knowledge within its own environment, with the access controls the company defines.

### How do I get started?
Request a demo with the form on this page and we will show you Azteria with examples from your operation.

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