Our Modules
Our pre-built modules for Every Use Case
Offer Seamless, Real-Time User Support across different Messanging Platforms.
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Guide Users to the Right Information or Products with Smart Search in their preferred Messaging Apps.
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Use Pre-Trained AI Models from Top Providers like Hugging Face and OpenAI in Your Preffered Messenger.
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Simplify deployment with our pre-built integrations and flexible API, tailored for your specific needs.
Why easybits
easybits' No-Code Platform is the Easiest Way to Build Your AI Use Cases.
Easily switch and combine modules to adapt to your changing business needs, ensuring maximum flexibility and cost-efficiency. Developers can utilize our API for seamless AI deployment across their applications.
Our pre-built automation modules are designed to be easy for everyone to use, no matter your technical skill level or available resources.
Our modules will be trained exclusively on your data, ensuring precise responses and strong data security.
Our Story
We make AI simple for everyone, especially those without technical experience.
Our mission is to be trusted partner in creating AI-powered solutions that work for your specific use cases – no coding required. Whether you are looking to automate customer service, create smart FAQs, or streamline workflows, we provide user-friendly tools that help you get your use cases up and running quickly.
Our Blog
Stay Updated on AI and Automation Topics
In today’s competitive market, businesses must prioritize creating exceptional customer experiences to stand out. But what exactly is customer experience, and how can you enhance it to benefit your business? In this guide, we will delve into the definition of customer experience, explore the digital aspect of it, and provide actionable strategies for improvement.
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With easyface's - (easybits' Hugging Face Telegram integration), creating a distinctive brand identity has become more straightforward and accessible. Anyone regardless of their coding skills, can utilise generative AI through the communication interfaces they use daily. This easy accessibility offers a valuable resource for improving brand presentation.
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What is Retrieval-Augmented Generation (RAG), why does it stand out as an innovative framework? By integrating external knowledge, RAG enhances large language models (LLMs), allowing them to deliver more precise, current, and dependable responses. Together let us explore how RAG is transforming our interactions with AI.
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