Athena Agentic AI Platform for Institutions

In the near future, every institution will have a customized Large Language Model (LLM) that uses the understanding of the whole Internet and private institution data to solve business problems previously unsolvable. To enable Generative AI's enterprise adoption, the Athena platform solves the privacy and safety challenges. Without exposing enterprise data to Internet, financial and government institutions can use the Athena platform as a self-hosted private ChatGPT to summarize a document, write a report or proposal, write computer code, describe images, and understand video streams etc. See sizable use cases in DOJ, DOL, NIH, CDC. Generative AI powered by Large Language Models (LLMs) is the next electricity or Internet (Jamie Dimon 2024; Jensen Huang, 2024). Now is the first inning of the AI industrial revolution. Businesses and government agencies cannot use public LLMs such as ChatGPT with private data because of privacy, security, and safety concerns. Athena AI solves the problems by providing private, secure, and safe enterprise LLMs to understand and reason enterprise unstructured big data like humans. Like ChatGPT, Athena AI can discover new knowledge, connect new and existing knowledge, and retrieve relevant knowledge stories. Athena AI pre-tunes and fine-tunes enterprise LLMs to understand enterprise documents and images. It can then use the enterprise local LLMs to solve the privacy, security, and safety challenges to LLMs enterprise adoption. Athena AI platform is designed as a base platform for customizations in enterprise AI, vision AI, mobile AI, AI safety and security. See Athena AI capabilities and use cases at https://ranty.net , e.g., Parquet Hub, Agents Studio, reading technical charts to predict and validate individual stock trends, chatting with Websites and book authors, Deepfake detection, etc.. See sizable use cases in DOJ, DOL, NIH, CDC. You can create local institutional LLMs: As opposed to sharing LLMs with the public using ChatGPT, Athena platform allows institutions to own local Athena base model files that are accessible in GGUF format (this is not available in cloud providers). The platform's Web UI supports simultaneous responses from multiple LLMs, enabling institutions to compare answers to mitigate potential hallucinations. You can create new local LLMs for institutions by extending Athena base models including DeepSeek-R1.