Advanced AI-driven modeling delivers stronger audience discovery, performance, and long-term value across industries

Wiland™, the leading provider of predictive audience intelligence, today announced the addition of the WAIfarer and WAIfinder models, bringing advanced Neural Net modeling to its suite of predictive analytics solutions. This expansion enhances Wiland’s ability to help brands and nonprofits find more responsive prospects, keep their most valuable customers engaged, and grow long-term revenue with greater precision and confidence.

While much of today’s AI conversation centers around generative tools and large language models, Wiland’s Neural Net models are purpose-built for predictive performance. Designed to analyze complex relationships between variables across multiple hidden layers, Neural Net models identify patterns and audience opportunities that traditional machine learning approaches often miss. Early prototyping has demonstrated stronger performance than standard modeling approaches, including improved prospect discovery and higher merge survival rates.

“AI is only valuable when it drives measurable business outcomes,” said Mike Gingell, CEO of Wiland. “Our investment in Neural Net modeling reflects our commitment to helping clients move beyond surface-level insights and into truly predictive intelligence. This capability allows us to uncover new, high-performing prospect universes and deliver incremental growth that simply wasn’t accessible before.”

The addition of Neural Net modeling benefits clients across all industries Wiland serves and is particularly impactful in non-cooperative data environments, where advanced modeling sophistication is critical to uncovering new opportunities.

With this enhancement, Wiland further strengthens its competitive edge in predictive analytics, reinforcing its mission to transform complex consumer spend signals into forward-looking intelligence that powers smarter marketing decisions.

WAIfarer and WAIfinder models integrate seamlessly with Wiland’s existing data assets and predictive frameworks, ensuring clients can adopt the new capability without disruption to current workflows or systems.

“Our focus has never been on having the most data,” Gingell added. “It’s about delivering the most predictive intelligence. Neural Net modeling represents a meaningful evolution in how we help brands find the right audiences, build lasting relationships, and grow with confidence.”

For more information about Wiland’s predictive analytics and Neural Net modeling capabilities, visit www.wiland.com.

For more information about Wiland’s predictive analytics capabilities, visit wiland.com.

About Wiland, Inc.

Wiland, Inc. is a data science company that helps brands and nonprofits find, keep, and grow their best customers. Powered by advanced predictive analytics and machine learning, our solutions transform extensive consumer spending and intent signals into precise audiences and actionable insights. The result is smarter marketing that drives profitable acquisition, stronger retention, and greater customer lifetime value across every channel. With a foundation of ethical data practices and privacy-first innovation, Wiland delivers the intelligence organizations need to achieve measurable outcomes with confidence.

Learn more at www.wiland.com

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“Neural Net modeling unlocks predictive intelligence that helps brands find new audiences and drive measurable growth.” — Mike Gingell, CEO, Wiland