rasa NLU
Dialogflow
Microsoft Bot Framework
Wit.ai
Botpress
Amazon Lex
Chatfuel
Voiceflow
Alphachat.ai
Simplify360
Gladly
Twilio Autopilot
Cognigy.AI
Action.ai
Khoros Marketing
Intercom
AlphaChat is a Conversational AI platform. It makes customer service more efficient and customers happy. Anyone can build their own Intelligent Virtual Assistant (i.e. a smart AI chatbot) and set it up for customer support automation in less than an hour.
The value the product provides:
Increase your customer support efficiency in messaging channels. Measure and increase resolution rate. Reduce agent workload and leave FAQ answering to the AI. Increase deflection rate in chat. Put repetitive tasks on autopilot. Cross reference chat resolution data to your call center data. Make customers happy Immediate answers to questions 24/7 Intent detection and Natural Language Understanding. Measure AI answer quality. Answers in every language. Bot-to-human handover with built-in live chat.
Set it up in less than an hour. Templates for different industries (SaaS, eCommerce, finance, telecoms). AI suggests improvements into your training data.
Add extra intelligence with Enterprise features like AlphaOS custom code into intents, user authentication, SSO, SLA, APIs, multichannel deployment (WhatsApp, Messenger, RCS, Apple Business Chat, voice).
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Based on our record, rasa NLU seems to be more popular. It has been mentiond 22 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Beyond raw language models, NLP engines like Rasa and Dialogflow offer frameworks for designing, building, and improving conversational flows. They help in intent recognition, entity extraction, and dialogue management, which are crucial for a coherent conversation structure. - Source: dev.to / about 2 months ago
There are frameworks out there for doing that kind of thing, see https://rasa.com/ for example. It's not using any LLMs at the moment, just BERT and DIET mostly but it's highly customizable and you could likely bring in an LLM for doing some interesting things to handle more complex messages from users. - Source: Hacker News / 12 months ago
Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / about 1 year ago
Rasa is a popular tool used right now to build these applications. If you're looking for a serious turn-key solution I would check out Vectara. Source: about 1 year ago
Another example is RASA, one of the most popular platforms for creating conversational AI assistants. On the accepted AI quality scale, RASA reaches levels 3 and 4. It means that the "robot" not only understands humans with high accuracy in a given contextual field but also learns to recognize contradictions and ulterior motives. - Source: dev.to / over 1 year ago
Dialogflow - Conversational UX Platform. (ex API.ai)
Simplify360 - An Omnichannel platform that can help you manage and automate customer support across Social Media Channels, Email, Live Chat. Manage Ecom., App and Location reviews. Understand your audience with enhanced Social Listening.
Microsoft Bot Framework - Framework to build and connect intelligent bots.
Gladly - Gladly develops a communication interface that allows agents and customers to converse across voice, email, SMS, and social media.
Wit.ai - Easily create text or voice based bots that humans can chat with on their preferred messaging...
Twilio Autopilot - Twilio Autopilot is another conversational AI platform that is helpful in building bots, IVRs, voice assistants, and many more.
