AI systems increasingly make decisions based on training data that may be outdated or incorrect. There's no easy way to audit what knowledge they're actually using.
Build a dashboard that traces AI assertions back to source data, highlighting confidence levels and potential conflicts. Visualize how information propagates through model layers.
Sell to companies using AI for research, customer service, or decision support where accuracy matters.
Start with an open-source LLM plugin that logs inference chains, then build enterprise features.
The challenge is making the output actionable rather than just another data dump.