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What is ReByte?

ReByte means two things:

  • An Autopilot agent that can take user's query, understand the context, and interact with other agents to get the task done. ReByte Autopilot focuses on help team members to get their job done more efficiently.
  • A Builder platform to let you build your custom sub-agent that can seamlessly integrate with the Autopilot agent

ReByte has two primary goals:

  • Instant Use: There are lots of fancy AI technologies every week, even every day, some of them focus on developers, some of them just try to demonstrate the power of AI, most of them are lack of end user usability. ReByte tries to provide an AI assistant that can be instantly used by every member of your team, with very minimal setup.
  • Customization There's no one-size-fits-all AI assistant for all companies. We are developing full-stack AI platform that quickly learn to increase productivity by automating time-consuming and monotonous workflows. For instance, we allow you to quickly analyze a csv file with millions of rows in a super flexible way.

Besides, ReByte has the following features:

  • Handle both unstructured and structured data Most of the AI assistants can only handle unstructured data by using vector search engine, ReByte can also handle structured data, including csv, Excel, postgres, mysql, parquet, JSON, sqlite. Combine our structured data support, you can build a RAG system with super high precision compared to traditional vector search engine.
  • Multistep Plan and Execute ReByte uses a plan and execute model to interact with tools. It first creates a plan, run the plan step by step, and then execute the plan. It can also correct itself if the plan is not executed as expected.
  • Model Agnostic You can use any large language model, such as OpenAI, Gemini, Anthropic, Mistral, or any other OS models, even your private model.
  • Enterprise Data Sync ReByte can auto sync data from various sources, such as Notion, Slack, Discord, Twitter, Google, Microsoft and more, those data can be used to build your own knowledge base.
  • Team Collaboration, You can definitely use rebyte for your personal uses. However, rebyte is designed for enterprise use, you can create a team, invite your colleagues to join the team, and collaborate on the same knowledge/table/agent/assistant, also enforce access control.

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Typical Use Cases

We expect ReByte can be useful in the following use cases:

  • Data Exploration Data owner can create a virtual database with proper access control, and share it with other team members, everyone can then run the query independently on the shared database.

Think about you have multiple sales data across Google, excel, local file csv, database etc. You want to find out which might be the best sales channel for your company, Rebyte Table let you combine your data in super flexible ways, and do the exploration.

  • Company knowledge base You have a lot of knowledge scattered across different sources, such as Notion, Slack, Discord, Twitter, Google, Microsoft, etc. You want to build a unified knowledge base for your team, Rebyte Knowledge let you sync data from those sources, and build your own knowledge base.

You can ask things like "What's the company policy for remote work?" or "How many PTOS do I have left?"

  • Automate repetitive tasks You have a lot of repetitive tasks, such as data cleaning, data transformation, data analysis, data visualization, those workflow are proprietary to your team, you want to automate those tasks, Rebyte Agent let you build your own tools to automate those tasks, every team member can use those tools just like using a normal AI assistant.