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Observe.AI, Inc. (Redwood City, US)Observe.AI
Agentic CX platform with AI agents for customer conversations, real-time agent guidance and automatic QA and coaching.

- Provider based outside the EU
- Publishes certification/GDPR safeguards
Last checked: 4 November 2026 · How we check
Is this your tool? Fill in missing detailsThis is what Observe.AI looks like

What it does
100% conversation analysis via voice and chat
Automated scoring and coaching
Multi-agent orchestration (customer, employee)
CRM/CCaaS integration and system connections
Knowledge base integration for contextual answers
Policy enforcement and compliance monitoringComparable in customer service
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Raffleon request
TrainToolon requestObserve.AI compared
Own contact-centre LLM plus unnamed external models, third-party language model not publicly disclosed (according to provider); hosting only on AWS, regions US, CA, EU and AU (according to provider); inference only, never trained on customer data (according to provider); SOC 2 Type II, ISO 27001, PCI Level 1, HITRUST r2 and HIPAA (according to provider). 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 Observe.AI
- Which AI model does Observe.AI use?
- The maker of Observe.AI does not publicly disclose which AI model sits underneath. Own contact-centre LLM plus unnamed external models, third-party language model not publicly disclosed (according to provider); hosting only on AWS, regions US, CA, EU and AU (according to provider); inference only, never trained on customer data (according to provider); SOC 2 Type II, ISO 27001, PCI Level 1, HITRUST r2 and HIPAA (according to provider).
- How much does Observe.AI cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Observe.AI for?
- Observe.AI is aimed at customer service. It supports work such as automatically answering frequently asked questions, assisting 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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