New “Physics of Friction” thesis combines nationwide 1-877-BUY-REGO asset with Tier 5 Valuation logic to replace high-friction search models.
NAPERVILLE, Ill., Feb. 9, 2026 /PRNewswire/ — buyrego™, the PropTech innovator behind the industry’s first mnemonic valuation platform, today released its white paper, “The Physics of Friction.” The thesis details how the company applies the brand dominance of icons like 1-800-GOT-JUNK?, while decoupling from their capital-heavy fleet model to deploy low-cost “Mnemonic Infrastructure” (static signage). This approach explicitly bypasses the high-friction, high-cost search models of Zillow and Redfin, which dominate the market by commoditizing agent services.
The Physics of Friction: Decoupling Cost from Scale Legacy real estate models depend on “High-Friction Search,” a system where customer acquisition costs (CAC) rise alongside ad spend. buyrego™ introduces a “Zero-Friction” alternative, offering a home value estimator that bypasses the high-cost aggregator monopoly.
- Mnemonic Dominance: Utilizing the cognitive stickiness of 1-877-BUY-REGO to secure high-intent, direct-to-brand engagement before it enters the search engine auction block.
- Infrastructure Scalability: Unlike the service-heavy models of traditional mnemonic brands that require trucks, fuel, and labor to scale, buyrego™ scales via static signage. This structure maintains fixed costs while brand reach expands exponentially, creating a widening wedge between revenue and “High-Friction” expenses.
“We aren’t chasing clicks; we are dismantling the ‘Search Monopoly’ tax,” stated Jeff Knize, Founder of buyrego™ and architect of the Tier 5 protocol. The industry is fragmented by millions of random, forgettable agent numbers. By treating one mnemonic number as physical infrastructure, we unify that chaos—achieving the brand power of a national fleet without the operational drag.”
Tier 5 Valuation Logic: The AI Advantage The buyrego™ platform pioneers “Tier 5” valuation protocols, powered by the proprietary a-Logic™ engine architected for Google Cloud Vertex AI. While legacy Automated Valuation Models (AVMs) rely on generalized algorithms that miss local nuances, Tier 5 encodes proprietary practitioner logic directly into the stack.
Derived from Managing Broker and Certified Appraiser expertise, the a-Logic™ engine is designed to “think” like a human practitioner—weighting subjective variables like condition, view, and micro-location—rather than blindly aggregating data points. This ensures institutional-grade accuracy for off-market assets via the bestimation™ index.
Deployment: The framework establishes the architectural blueprint for the buyrego™ digital ecosystem. Currently in the architecture phase, the roadmap establishes the Naperville market as the platform’s initial launch site, featuring a Naperville home value estimator designed to offer a transparent, defensible alternative to “black box” estimates common in the industry, streamlining the path from valuation to execution.
About buyrego™ buyrego™ is a PropTech infrastructure platform deploying the industry’s first Mnemonic Valuation Engine. By combining the nationwide 1-877-BUY-REGO asset with Tier 5 valuation logic, the company creates a direct-to-brand marketplace that bypasses legacy search monopolies.
Disclaimer: buyrego™ and bestimation™ are pending trademarks. Reports generated are broker-prepared opinions of value and do not constitute formal appraisals under USPAP standards. Statements regarding the a-Logic™ engine and Google Cloud Vertex AI architecture are forward-looking and subject to development roadmaps.
buyrego™ | buy real estate, go!™ | 877-BUY-REGO
Media Contact:
Jeff Knize
(815) 588-0300
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www.buyrego.com
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