RASGO

The platform, Rasgo, represents an advanced step in self-service analytics by harnessing the capabilities of generative AI, specifically GPT-4, to transform business intelligence. It enables users to interact with their Enterprise Data Warehouse (EDW) data using natural language, facilitating easy visualization and 24/7 automated insights aligned with business goals. The system is designed to deliver context-rich insights directly from the EDW, ensuring that data remains secure and within the user's control.

Rasgo's approach involves creating a semantic embedding of the EDW metadata to educate GPT-4 about the data without transferring any actual data. This method ensures that the raw data remains within the EDW while still leveraging GPT-4's capabilities. The platform logs every AI-enabled interaction for transparency and accountability.

The platform's generative insights aim to provide substantial intellectual value within an organization. It empowers teams to make informed decisions and significantly reduces the time spent on creating knowledge products. Rasgo's Enterprise GPT is designed to autonomously navigate through the data environment, identifying valuable insights and optimizing for high-value analytical work.

Rasgo envisions a future where its product continuously evolves into an always-on, autonomous knowledge worker, capable of running enterprise simulations and planning with various data sources. It leverages GPT-4's ability for complex reasoning, dynamic objective handling, and efficient strategizing to facilitate human-AI collaboration. The platform aims to be a self-learning and self-teaching system, where autonomous agents collectively pursue valuable insights and manage tasks autonomously, adapting to the constantly changing enterprise data environments.