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Dixa (Copenhagen, DK)Dixa
Customer service platform with AI agent Mim, copilot and Auto-QA across chat, email, phone, WhatsApp and social.

Shared spot14of 40 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is held in the EU (2 points), whether there is a certification or GDPR safeguard (1) and whether the provider is established in the Netherlands or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in customer service
GDPR: Limited
- Provider based in the EU
Priceon request
Free trialNone foundNot found on the provider's website when checked on 16 September 2026
Based inCopenhagen, DKEU
ModelNot publicnot public, own AI agent 'Mim' (up to 80% resolved automatically), AI copilot and Auto-QA
Last checked: 16 September 2026 · How we check
Is this your tool? Fill in missing detailsThis is what Dixa looks like
www.dixa.com

What it does
Omnichannel: phone, email, chat, WhatsAppAI Co-Pilot for agent assistance and translation
AI Agent Mim: 80% autonomous resolution
Visual workflow builder (no-code)Intelligent routing by skill/language/VIP
Auto-QA: conversation quality automatically
Integrations: Shopify, Salesforce, KlaviyoMultilingual support (30+ languages)
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Raffleon request
TrainToolon requestUnderlying model
GDPR check for customer service not public, own AI agent 'Mim' (up to 80% automatically resolved), AI copilot and Auto-QA. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about Dixa
- Which AI model does Dixa use?
- The maker of Dixa does not publish which AI model sits underneath. Proprietary AI agent 'Mim' (up to 80% automatically resolved), AI copilot and Auto-QA.
- How much does Dixa cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Dixa for?
- Dixa focuses on customer service. It fits tasks such as answering frequently asked questions automatically, supporting agents with draft replies, and summarising and categorising conversations.
- What should I look for in AI for customer service?
- Be transparent that customers are speaking with AI and ensure a smooth handover to an employee. Protect the privacy of customer data in conversations.
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