Hello, SaaSHub Community 👋 We - Albert, Vlad, and I (Javier) - are thrilled to present Brainwave.
In Short: Brainwave is a customer service automation tool capable of resolving over 70% of your customers' inquiries. Our solution automates text-based responses and actions.
❌ Problem
Support demands can become overwhelming, especially for B2C/B2B SaaS, e-Commerce, Marketplace, and FinTech companies. You likely have an ever-growing number of support tickets, with your current bot, such as Intercom or Zendesk, only addressing 30% of issues after extensive training. This situation is time-consuming, costly, and often leads to customer frustration and dropouts.
✨ Our Solution
Our Automatic Answering Bot:
⚙️ How It Works
🙏 Our Ask
Thank you!
No features have been listed yet.
Brainwave's answer
More than a simple embeddings search into GPT. Our proprietary model automates and executes actions like collecting leads or scheduling meetings.
Brainwave's answer
Conducts the required actions promptly when specific conditions are met, such as saving a contact email from an interested prospect.
Brainwave's answer
B2B/B2C or Fintech SaaS companies teams swamped with support tickets (over 50 tickets daily with a minimum of 2 customer support agents).
Brainwave's answer
React.js, Node.js, Langchain, Machine Learning
Brainwave's answer
we have experienced the pains by ourselves of solving hundreds and even thousand of tickets in our previous experiences, and it slowed down us a lot in continuing innovating.
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 / 3 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 / about 1 year 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: over 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
Chatbase - Build a ChatGPT-like chatbot from your knowledge base.
Dialogflow - Conversational UX Platform. (ex API.ai)
SiteGPT - ChatGPT for every website.
Microsoft Bot Framework - Framework to build and connect intelligent bots.
Dante AI - Custom GPT chatbots trained on your data
Botpress - Open-source platform for developers to build high-quality digital assistants