Your Data Is Getting Dirtier While We Talk — UnicornIQ’s Answer to AI’s Unsolvable Problem
Everyone says clean your data before you invest in AI. The problem is, your data is getting dirty faster than you can clean it. In this episode, Keith sits down with Joe Onisick, founder of UnicornIQ, to dig into why data hygiene is AI’s most underestimated failure point — and why throwing more GPU power at the problem makes it worse, not better. Joe breaks down how UnicornIQ takes a fundamentally different approach: instead of modifying your source data, it sits alongside your AI stack, distilling confidence scores and traceable facts from unstructured documents. The result is faster inference, better accuracy, lower cost, and — critically — answers you can actually audit. They also get into why human-in-the-loop isn’t a dirty word, how UnicornIQ handles questions the data can’t answer, and why Joe chose a flat-rate, on-premise deployment model over VC-friendly SaaS lock-in. Recorded live at the CTO Advisor home studio, this is a refreshingly honest conversation about why most AI projects aren’t failing — they’re just wildly underperforming.
Show notes –
UnicornIQ Website – https://unicorniq.ai/
Previous Conversation with Joe – https://youtu.be/GO4mlr7Fwuk
Lightboard video: https://youtu.be/DaCEUqeSM98