In this episode, we dive deep into the hidden world of business fundability with Ty Crandall, CEO of Credit Suite.
Discover the shocking truth behind why over 50% of business loan applications get denied before revenue or credit scores even enter the equation.
We explore how modern lending's automated systems use entity recognition and pattern matching to validate business information across multiple verification sources.
When data inconsistencies appear between Secretary of State records, LexisNexis reports, and other databases, decision algorithms flag potential fraud in microseconds - instantly killing deals that human underwriters never even see.
Ty breaks down the critical elements of fundability that most business owners overlook, from NAICS code accuracy to proper business address validation. Learn how these cross checking procedures impact identity verification and why information retrieval processes are the silent gatekeepers of business credit access.
For alternative financing professionals, this episode reveals how classification systems are transforming the lending landscape. As FinTech platforms now dominate approximately 90% of business lending, understanding these data matching fundamentals becomes essential for both lenders and borrowers.
Most importantly, discover practical strategies for establishing lendable merit through proper business credit building and fundability score improvement - even for businesses without established revenue or strong personal credit. As the industry evolves with Fund Smart AI and advanced pattern recognition, this knowledge becomes your competitive advantage in securing optimal financing terms.
Whether you're seeking business capital or providing alternative lending solutions, this episode delivers actionable intelligence on navigating the complex intersection of credibility, automated underwriting, and modern business financing.
#AlternativeFinancing #BusinessLending #DataMatching #Fundability #BusinessCredit #UnderwritingIntelligence