Trustworthy AI: Why Explainability Will Define the Next Decade of Enterprise Technology

Episode notes

Most AI companies are racing to build bigger models. Pat Condo is building something different: AI you can actually trust. In this episode of Liftoff, Keith sat down with Pat Condo, Founder & CEO of Seekr Technologies - a seven-time founder with three decades at the intersection of search, defence, enterprise software, and national security. Pat shares why most enterprise AI projects fail - and why it’s rarely the model’s fault. They explore: → Why explainability isn’t optional in mission-critical AI → The hallucination problem and why enterprises can’t tolerate it → How inference costs are quietly destroying AI ROI→ Why specialization beats hyperscaler ambition → What defence tech is teaching commercial AI buyers → Why policymakers shouldn’t only take advice from AI monopolies → The most underinvested AI opportunity today: manufacturing Seekr is betting that trust, transparency, and domain-specific expertise will outlast hype cycles and model-size wars. If you’re building, buying, or investing in AI - this conversation cuts through the noise.

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