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Ada Support Inc.

Ada

Omnichannel AI customer service platform with its own 'Reasoning Engine' that autonomously resolves 70% of interactions.

Shared spot32of 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: Unknown
  • Provider based outside the EU

Each block is a professional tool in customer service, with the strongest GDPR profile on the left. 9 professional tools, like Ada, have an Unknown profile: they share this spot. Click for that tool.

Priceon request (~$30k/year enterprise)
Free trialNot foundNot found on the provider's site when checked on 27 August 2026
BasedOutside the EU

Last checked: 27 August 2026 · How we check

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This is what Ada looks like

www.ada.cx
Ada's website
Ada's website

What it does

AI agent for webchat, email and voice
Unified Reasoning Engine (patent-pending)
Omnichannel: WhatsApp, SMS, social messaging
Automatic escalation to a human agent
Multi-step workflows without script trees
84% autonomous resolution without human intervention
Integrations with Zendesk, Salesforce, Genesys
SOC 2 and GDPR certified
Which AI model does Ada use?
Ada runs (in part) on ChatGPT and Claude. OpenAI (primary) + Anthropic, via its own Reasoning Engine.
How much does Ada cost?
on request (~$30k/year enterprise). Check the current price on the provider's website; rates change often.
Who is Ada for?
Ada is aimed at customer service, healthcare. It supports tasks such as answering frequently asked questions automatically, 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 arrange a smooth handover to a member of staff. Safeguard the privacy of customer data in conversations.

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