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Freeday (Rotterdam, NL)Freeday
Dutch AI agents ('digital employees') that handle customer service, finance and KYC processes end to end.

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 Netherlands
Priceon request (pay-per-resolution)
Free trialNot foundNot found on the provider's site when checked on 11 August 2026
Based inRotterdam, NLNetherlands
ModelNot publicmodel-agnostic (publicly stated), specific LLMs not public, NEN7510-certified
Last checked: 11 August 2026 · How we check
Is this your tool? Fill in missing detailsThis is what Freeday looks like
www.freeday.ai

What it does
AI digital employees for enterprise
Full workflow automationKYC verification in minutes
Voice, chat and email via AI agents
Integration with 100+ business appsLive in 14 days' deployment
Monitoring dashboard with analytics
Three-way invoice matching, 99.7% accuracyComparable in customer service
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Raffleon request
TrainToolon requestUnderlying model
GDPR check for customer service model-agnostic (publicly stated), specific LLMs not disclosed, NEN7510-certified. Many tools build on a large model from providers such as OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it sets out where your data goes.
Questions about Freeday
- Which AI model does Freeday use?
- The maker of Freeday does not disclose which AI model sits underneath. Model-agnostic (publicly stated), specific LLMs not disclosed, NEN7510-certified.
- How much does Freeday cost?
- on request (pay-per-resolution). Check the current price on the provider's website; rates often change.
- Who is Freeday for?
- Freeday is aimed at customer service. It suits work such as automatically answering frequently asked questions, 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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