Platform

Everything around the AI assistant in one place.

Qliva combines document ingestion, customer chat, lead capture, and admin workflows so the assistant can be operated like a real business tool.

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Admin portal

Operate knowledge, users, conversations, and leads.

The portal gives your team a clean control surface for the assistant and the knowledge it uses.

  • Upload and track documents per customer or workspace.
  • Review conversations and captured leads.
  • Manage users, language settings, and widget configuration.
Knowledge sources

Start with the sources you already have.

The assistant becomes useful when it answers from approved material instead of improvising from a blank prompt.

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WebsitePublic pages, service descriptions, support text and terms.
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PDF filesProduct sheets, manuals, policies and price documents.
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DocumentsInternal notes, FAQs and operating instructions.
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VoiceCapture knowledge quickly when it is easier to say than write.
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ConversationsSee what visitors ask and where content needs to improve.
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SettingsControl language, tenant, widget behavior and assistant role.
Website widget

Put the assistant where visitors already are.

The widget is designed to be easy to embed, easy to test and useful before a visitor gives up or sends another email.

  • Small embed script for existing websites and CMS tools.
  • Answers from the selected tenant and knowledge base.
  • Lead capture when the visitor wants contact or follow-up.
Capabilities

Built around the real operating loop.

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RAG chat API

Answers are grounded in indexed company knowledge and managed per tenant.

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Embeddable widget

A small website widget gives visitors immediate access to the assistant.

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Lead capture

When a conversation becomes commercial, the assistant can collect contact details for follow-up.

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Conversation history

Teams can review chat logs and discover content gaps.

language

Multilingual foundation

Start with Swedish and English, with room to add more languages later.

cloud

AWS-hosted

Built on managed AWS services with separate customer data boundaries.