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Raffle (Copenhagen, DK)Raffle
Danish AI search and chat that answers customer questions 24/7 and exposes content gaps in knowledge bases.

Shared spot5of 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: Good
- Provider based in the EU
- Publishes certification/GDPR safeguards
Priceon request
Free trialYes
Based inCopenhagen, DKEU
ModelNot publicnot public, GDPR, HIPAA and SOC 2 compliant; EU company
Last checked: 25 July 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
AI search widget on your own content
Chat interface with your own knowledge base
Autocomplete for search queriesMultilingual AI models
Automatic crawling and indexing of content
Analytics: queries, CTR, visible content gaps
GDPR-compliant, no cookies or IP tracking
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TrainToolon request
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Underlying model
GDPR check for customer service not public, GDPR-, HIPAA- and SOC 2-compliant; EU company. 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 Raffle
- Which AI model does Raffle use?
- The maker of Raffle does not disclose which AI model sits underneath. GDPR-, HIPAA- and SOC 2-compliant; EU company.
- How much does Raffle cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Raffle for?
- Raffle is aimed at customer service. It supports tasks such as automatically answering frequently asked questions, helping 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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