In this episode of the Winner’s Circle, Russ Fordyce sits down with Scott Moore, a leader at Clearspeed, to discuss their Big Innovation Award-winning voice technology. Unlike traditional AI that predicts behavior based on historical data or social profiling, Clearspeed uses a unique, language-agnostic approach to measure real-time neurophysiological responses—essentially a "fight or flight" signal—to determine if a person’s inputs can be trusted.

From its high-stakes origins in military screening to its current applications in banking and insurance, Scott explains how this "trust technology" is clearing the path for honest consumers while pinpointing anomalies that legacy systems miss.

• [00:01] The Elevator Pitch for Clearspeed
• [03:01] Solving the "Inelastic Tension"
• [05:37] Beyond the Claims: Real-World Use Cases
• [08:49] Trust Tech vs. Generative AI
• [11:59] Military DNA and Language Agnosticism
• [13:57] Eliminating Bias in Risk Assessment
• [16:04] The 97% Accuracy Barrier
• [29:24] Ripping Out the "Candle" for the "Light Bulb"

• Clearing the Hay to Find the Needles: Clearspeed is designed to "clear" the majority of people whose inputs can be trusted, allowing human resources to focus only on the anomalies.
• Universal Human Signal: Because the technology measures a neurophysiological response rather than language or tone, it is culture and language agnostic.
• Privacy-First Design: The tool does not require personally identifiable information (PII); it only needs 300 milliseconds of a "yes" or "no" to function.
• A Signal, Not a Determination: Scott emphasizes that the tech provides a signal of an anomaly; it does not take negative determining actions on its own.

More on Clearspeed https://www.clearspeed.com/
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