Rasgo: Empowering Data-Driven Decisions with AI-Powered Insights

Rasgo is an AI platform designed for businesses to accelerate data-driven decision-making by leveraging autonomous GPT-4-enabled agents. It enables users to interact with their Enterprise Data Warehouse (EDW) via natural language, generating tailored insights without compromising data security. Rasgo’s solution bridges the gap between AI and enterprise data infrastructure, fostering human-AI collaboration and reducing workload for data teams.

Key Features:

• GPT-4-Enabled Agents: Autonomous AI agents that analyze EDW data and provide actionable insights.
• Natural Language Querying: Users can ask questions of their EDW data using conversational language.
• Secure Data Handling: Ensures data remains within the EDW, with no copying or movement of raw data.
• 24/7 Automated Insights: Delivers continuous, goal-oriented intelligence to support decision-making.
• Semantic Layer: Translates between AI models and EDW metadata without altering source data.
• Interaction Logging: All AI-driven interactions are logged and made discoverable within the EDW.
• Human-AI Collaboration: Combines GPT-powered agents with user input for enriched business context.
• Time Efficiency: Reduces data teams' workload by 80% by automating knowledge product creation.
• Enterprise Focus: Built for businesses requiring secure, scalable AI solutions for complex data environments.

Pricing:

Rasgo’s pricing model is not explicitly detailed in the provided content, but its enterprise-focused approach suggests a tailored, paid solution for organizations.

Conclusion:

Rasgo redefines how businesses interact with their data, offering a secure, intelligent, and efficient AI-driven platform that empowers teams to unlock deeper insights and drive innovation.