I was inspired to build Plexis after seeing how much of data analysis still depends on repetitive manual work—and how difficult it can be to trust AI when it gives you an answer without showing how it reached it. AI can analyze data incredibly quickly, but speed isn't enough when you're working with important information. If an AI tells you that a trend exists, you should be able to understand where that conclusion came from. If it wants to clean or change your data, you should be able to review those changes first. That's the problem I'm trying to solve with Plexis: making AI-powered data analysis more transparent, evidence-based, and controllable. Instead of treating the AI's response as the source of truth, Plexis is being built so that the actual dataset and deterministic analysis remain the foundation, while AI helps users interact with and understand those results. The goal is simple: make working with data easier without forcing users to blindly trust the AI.

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