The Kore.ai platform allows you to create multilingual bots that speak to users in their native tongue, eliminating language barriers and making the localization process easier, more effective, and more affordable.
The Kore.ai Bots Platform allows you to build chatbots for nearly every major language and then scale by enabling one or more supported languages - eliminating the need to rebuild the bot each time you want to expand your reach. Our platform opens up conversations with potentially billions of people worldwide - without the need for extra support staff or costly translation services.
Build Multilingual Bots With Ease
Consumers are more likely to engage with bots that can communicate in their preferred language. Simply build a bot in your preferred language and then enable new languages as you go. Our bots auto-detect and switch language based on user utterances. Depending on the way you configure your bot, the bot can continue to communicate with the user in the same language for just that single session or for all following sessions.
The Kore.ai Bots Platform currently supports English, German, Spanish, French, Chinese Simplified, Chinese Traditional, Brazilian Portuguese, Italian, Japanese, Korean, Bahasa, Arabic, Dutch, Malay, Finnish, Polish, Russian Ukrainian and more. Additionally, we’re always working on adding even more, so you can build a true polyglot bot.
Custom-Named Entity Recognition
Bots can be trained to recognize and automatically extract custom entities in any configured language. Developers can enhance the training with additional named entity recognition (NER) training.
Automatic System Entity Recognition
Bots recognize universal system entities like dates, currency, numbers, ordinals, quantity, orders, and more, without the need for additional training.
Built-In and Custom Small Talk
The Kore.ai platform automatically responds to user small talk, including welcome messages and other forms of chit-chat, for all enabled bot languages.
Developers can also add or edit translations at any time and define their own small talk as part of the bot training process, so the bot adapts to the language being used and uses the most culturally appropriate greeting at all times.