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boost.ai (Stavanger, NO)boost.ai
Conversational AI for regulated sectors: chat and voice bots for banks, insurers, telecoms and government.

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 trialNot foundNot found on the provider's site when checked on 9 August 2026
HeadquartersStavanger, NOEU
ModelNot publicnot public, hybrid approach (NLU + generative AI), aimed at regulated sectors
Last checked: 9 August 2026 · How we check
Is this your tool? Fill in missing detailsThis is what boost.ai looks like
www.boost.ai

What it does
Chatbot automation via own platform
Speech automation (voice AI)Hybrid orchestration: rule-based and GenAI mix
Multi-agent set-up with handoffs
Industry-specific guardrails + custom rules
Knowledge retrieval from external systems
Escalation to a human with full context
30+ contact centre integrations (Salesforce, Zendesk, Genesys)Comparable in customer service
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Raffleon request
TrainToolon requestUnderlying model
GDPR check for customer service not public, hybrid approach (NLU + generative AI), aimed at regulated sectors. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it sets out where your data goes.
Questions about boost.ai
- Which AI model does boost.ai use?
- The maker of boost.ai does not publicly disclose which AI model sits underneath. Hybrid approach (NLU + generative AI), aimed at regulated sectors.
- How much does boost.ai cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is boost.ai for?
- boost.ai is aimed at customer service. It fits 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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