Best fit
Who should shortlist this first
- Chatbot buyers
Kore.ai enables enterprises with conversational AI that simplifies complex operations, automates tasks, and enhances customer interactions at scale.
Pricing
$60-180 / month
Reviews
200+
Founded
2013
Team Size
501-1,000 employees
Free onboarding and setup (normally $500+)
Kore.ai has developed enterprise-focused conversational AI and generative AI products. It offers advanced, highly customizable chatbots and AI assistants to automate sales, customer service, and employee workflows across multiple channels. Kore.ai provides a no-code platform to help your business improve its operational efficiency, scale customer support, and leverage AI to engage in sophisticated conversations with customers.
The platform takes an agnostic approach towards data, cloud, and applications used, providing maximal deployment flexibility and customer choice. Key Features Generative AI Framework : Infuse empathy and relevance into conversations, providing real-time guidance when building conversation flows. Omnichannel Support : Engage customers across 45+ voice and digital channels, including MS Teams, Slack, WhatsApp, SMS, and email. Multilingual Capabilities : The platform supports over 100 languages for your assistant.
AI-Powered Search : Transform company documents and websites into easily accessible information for customers and employees through conversational AI. No-Code Development Tools : User-friendly with no coding expertise needed, accelerating deployment and customization. Who's It For? Kore.ai is best suited for large enterprises, and across diverse industries such as healthcare, finance, and telecommunications.
$60-180 / month
Kore.ai offers several pricing plans.
Essential: $60/ month
Advanced: $180/month
Enterprise: Custom quote
Best fit
Buyer teams
Commercials
Pricing
$60-180 / month
Reviews
200+
Founded
2013
Team Size
501-1,000 employees
Procurement
Ecosystem
Alternatives
Trust
Executive scan
Kore.ai is a chatbot product positioned for buyers that want stronger context around pricing, category fit, and real-world proof before committing to a shortlist.
How should buyers evaluate this profile?
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