Gladly vs Lorikeet
Two Customer Support AI tools, side by side. Both are checked against their own published sites at time of listing. This comparison is editorially independent — neither tool has reviewed or endorsed this page. Here is what each does well and who it is for, so you can choose what fits.
Gladly
www.gladly.ai
Customer experience AI that keeps conversation context across channels
Best forRetail and service brands prioritizing customer lifetime value and personalized experiences.
What it doesCustomer support platform that handles conversations across chat, email, SMS, voice, and social with unified customer history, resolving routine issues with AI and routing complex cases to agents.
Capabilities
Visit Gladly →- Multi-channel conversation management
- Unified customer history
- Automated routine resolution
- Plain-English Guides for brand voice and rules
- Intelligent routing to human agents
Lorikeet
www.lorikeetcx.ai
AI customer concierge for complex, regulated support.
Best forFintechs, healthtechs and other regulated businesses with complex, high-stakes support.
What it doesLorikeet is an AI customer support platform that resolves complex issues end-to-end across phone, SMS, chat, email and WhatsApp. It connects with business tools and internal APIs to act on issues directly, executes multi-step support procedures, and recognises when human intervention is needed, routing tickets with full context. It targets accuracy and reliability in high-stakes workflows.
Capabilities
Visit Lorikeet →- End-to-end complex issue resolution
- Multi-channel support
- Deep system and API integration
- Context-rich escalation
How to choose
Choose Gladly if you are retail and service brands prioritizing customer lifetime value and personalized experiences. Choose Lorikeet if you are fintechs, healthtechs and other regulated businesses with complex, high-stakes support. Both sit in Customer Support; the right pick depends on your exact workflow and budget.
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Data verified 2026-06 against each tool's live site.Spot an error? Let us know →