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Do your best work with an agentic AI workforce powered by LLM and LAM agents
Achieve peak productivity using No-code AI agents built on multiple LLMs
Easily create AI agents simply by providing a series of instruction prompts, and automate any kind of work around data, documents and files including the ability to generate new content using a template, review and comment on content within documents, and extract information from existing files
Make sense of structured and unstructured data within over 80 different file formats
ReN3 can handle images, audio, video, PDF, the Microsoft Office suite of extensions, Autocad and even 3D formats. Glean data from more than 80 different file formats for Generative AI to work with. Automatically categorize documents for what they are - whether it's a national ID card or an invoice or a memo, and extract summaries and metadata from the content of these files using AI
Automate both realtime and batch processes with AI agents that run anywhere
Have conversations with your AI agents in realtime to gain insights into your data, or have them run autonomously in the background on your documents. Create No-code AI agents that can be attached to a workflow combining both AI and humans in an end to end process.
Unlock insights from data silos including files, websites, databases and over 30 enterprise systems
Allow your AI agents to read data from various different datasources, and let them gain insights across multiple different systems. Equip your AI agents with the ability to perform actions across these various systems as well.
Deploy an AI strategy that safely solves LLM and LAM inadequacies
Hallucination and LLM output inconsistency are two of the biggest problems surrounding LLMs. By employing a bunch of techniques including knowledge graphs, prompt caching and context augmentation, and supplementing that with citations and sources for every answer, you are able to deploy an AI strategy that works well and reliably in an enterprise environment.
Increase AI accessibility within your organization - Interact through Teams chat, voice and even visual avatars
Allow your knowledgebase to be accessible from multiple different channels. Embed your agents into Microsoft Teams as a virtual agent, or interact with the agent via continuous voice, Whatsapp or even as a digital avatar!
Frictionless deployment - run everything offline on-premises or in the cloud
ReN3 can run in a 100% airgapped environment with no Internet access, making it suitable to be used in situations where security is of ultimate importance. Deploy all the components on-prem, including the Large Language Model, and deploy a GPU to boost the performance of the Large Language Model.