Wiland Adds Neural Net Models WAIfarer and WAIfinder

Wiland announced the addition of two neural-net predictive models, WAIfarer and WAIfinder, to its predictive audience-intelligence suite. The models are purpose-built for predictive performance—analyzing complex variable relationships across multiple hidden layers—to improve prospect discovery, customer engagement and long-term revenue forecasting. Wiland said early prototypes outperformed standard modeling approaches on measures including prospect discovery and merge survival rates. The company positions the models as particularly useful in non-cooperative data environments and notes they integrate with Wiland’s existing data assets and predictive frameworks to avoid disrupting client workflows. Mike Gingell, CEO of Wiland, framed the release as an investment in delivering more predictive, business-outcome-driven intelligence for brands and nonprofits.