Kotae

Kotae

Kotae is an AI chatbot that learns from your business data to automate customer support in 80+ languages.

Screenshots

Kotae screenshot

About Kotae

Kotae empowers small businesses with an intelligent customer support chatbot trained exclusively on their own content. By uploading website data, training files, or FAQ documents, businesses create a knowledge base that powers accurate, contextual responses to customer inquiries. The chatbot operates independently across 80+ languages, enabling truly global customer engagement without geographic limitations. Integration is seamless—Kotae embeds directly into your website and works around the clock, handling routine customer questions automatically. This eliminates the burden of repetitive support inquiries, freeing your team to focus on complex issues and strategic customer relationships. The chatbot can handle up to 80% of standard questions, significantly reducing support workload and response times. Customization extends to every touchpoint. Businesses can tailor the chatbot's appearance with brand logos, custom theme colors, and personalized welcome messages to create a cohesive customer experience. When default responses need adjustment, manual overrides ensure your customers always receive accurate, approved information aligned with your business standards. Powered by OpenAI technology and retrieval-augmented generation, Kotae improves continuously. Each customer interaction generates chat history data that refines future responses, making the chatbot smarter and more effective over time. This self-improving architecture means your support system grows more capable without ongoing manual intervention.

Pros

👍 Trains on your proprietary business data for accurate, relevant responses 👍 Supports 80+ languages for global customer reach 👍 Reduces routine support workload by up to 80% 👍 Fully customizable appearance with brand elements 👍 Improves continuously through conversation history

Cons

👎 Requires quality training data for optimal performance 👎 Manual response overrides needed for edge cases 👎 May need ongoing tuning for complex business processes